At this globally influential, large-scale technology gathering, Dr. Liang participated in three core forums — "Human vs. Machine: Who Owns the Classroom of Tomorrow?", "The Silicon Shift: China's Quiet Influence on Global Innovation", and "Beyond the Lab: Will AI Fix Our Systems?". In these sessions, she joined technology leaders from around the world to explore the future of human-AI collaboration in education, providing global audiences with strategic insights and forward-looking perspectives drawn from China's practical experience in AI-powered education. 

Squirrel Ai Highlights the Irreplaceable Human Value in Education

During the forum entitled "Human vs. Machine: Who Owns the Classroom of Tomorrow?", Dr. Liang engaged in an in-depth conversation with João Rui Ferreira, Secretary of State for Economy of Portugal, and Marc Tawil, columnist at Exame, Brazil's largest business publication. She noted: "Through Squirrel Ai's years of practice, we have come to understand that the highest value of artificial intelligence in education is not to replace teachers, but to free them from repetitive tasks so they can focus on what machines cannot replicate — inspiration, empathy, and creativity." Dr. Liang further explained that Squirrel Ai's multimodal intelligent adaptive learning system is a vivid embodiment of this philosophy.

The system integrates multimodal cognitive diagnostics, a fine-grained knowledge graph, and error-cause analysis algorithms to deliver precise, real-time insights into each student's learning state. It intelligently generates personalized learning paths, enabling teachers to devote more time to individualized guidance, the cultivation of higher-order thinking, and character education.

"Education is, at its core, a profound interaction between people. Technology's highest purpose is to enhance — not diminish — that experience," stated Dr. Liang. "Our goal is the effective collaboration between humans and machines, working together to create a learning environment that is both supportive and human-centered." With this vision, she articulated a new paradigm for human-AI collaboration in education, offering meaningful insights into the deeper essence of teaching and learning.

Building a Boundaryless, Personalized, and Human-Centered Classroom of the Future

Against the backdrop of rapid growth in the global educational technology sector, Dr. Liang highlighted in her remarks that true innovation in educational technology does not lie in market expansion but in harnessing technology to drive a fundamental shift toward learner-centered education. She underscored that the essence of educational innovation is achieving personalized learning at scale and educational equity — goals that must be grounded in authentic, dynamic learning data.

"Building on Squirrel Ai's multimodal intelligent adaptive learning model, developed through serving more than 43 million students and analyzing over 20 billion learning behaviors, we can perceive each student's challenges and strengths in real time and dynamically adjust their learning path. This is not merely about enhancing the efficiency of knowledge delivery; it is about fundamentally understanding why a learner gets stuck at a specific point, how they can learn better, and providing the most appropriate support instantly." Dr. Liang added that the classroom of the future is poised to transcend physical and temporal boundaries, evolving into a boundless, data-driven learning environment guided by human values.

Notably, Dr. Liang's presence at Web Summit showcased Squirrel Ai's maturity as a key builder and innovator in the educational technology sector, presenting an intelligent educational framework designed to understand student needs and support teacher decision-making. Its value lies not only in the technology itself, but also in the practical implementation model it offers to the education community. In the learning environment shaped by Squirrel Ai, teachers are no longer mere transmitters of knowledge. Instead, they become designers and facilitators of the learning process, while artificial intelligence provides personalized support and continuously refines instruction. In this way, true "teaching according to students' aptitude" becomes an integral part of daily classroom routines.

As technology frameworks and educational philosophies continue to converge, Squirrel Ai's proven approach has become an important benchmark for the entire industry. It demonstrates that when technology truly serves the essence of education, it can overcome resource and geographic constraints, allowing more students to access learning experiences tailored to their individual needs. This learner-centered, technology-enabled model is driving continuous advancement in global education and making a more personalized and equitable future not only possible, but increasingly within reach.

Current Situation Analysis: AI in Education—Immediate Assistance and Long-Term Promotion

With the rapid development of technology, artificial intelligence is gradually permeating and profoundly changing various industries, and the education sector is no exception. The report suggests that the AI intelligence level in the education industry is steadily advancing along a six-level evolution path from Level 0 to Level 5, marking a profound transformation of the education model from a basic digital stage to a full-scenario intelligent education agent.

At the Level 0 basic digital stage, the emergence of electronic textbooks with static content storage and zero adaptive capabilities, online education resource libraries, and educational apps (for querying and browsing content) has enabled the migration of educational resources from paper to electronic media.

Entering the Level 1 response-based intelligent stage, the system is upgraded to an AI system with basic response capabilities, capable of performing keyword-based responses and standardized resource pushing. Online learning machines and question-and-answer analysis tools have become typical applications of this stage.

At the Level 2 context-aware stage and Level 3 simulated interaction stage, the level of AI intelligence has gradually been upgraded to systems with elementary cognitive abilities that can analyze learning behaviors and dynamically adjust difficulty (Level 2), and AI educational agents with human-like conversational abilities (Level 3) that can perform natural language processing, generate teaching strategies, deeply understand learning situations, and conduct multi-turn instructional conversations.

With the advent of the Level 4 educational large-model stage, the level of AI intelligence has gradually evolved to feature multi-modal teaching understanding and adaptive education. Based on a strong cognitive system of vertical large models in education, products such as comprehensive adaptive learning platforms and integrated virtual-real teaching spaces have successively entered the market.

Finally, at the Level 5 stage, represented by AI intelligent teachers, the full-scenario educational intelligent agent is the ultimate form of expression for ed-tech companies after entering the intelligent development stage of education. Level 5 full-scenario educational intelligent agents integrate the capabilities of Level 4 large models, incorporating functions such as personalized learning, emotional support, situational awareness, adaptive teaching, and MCM (Mode of Thinking, Capacity Building, and Methodology) training, enabling cross-disciplinary knowledge integration and dynamic teaching strategy generation.

In the intelligent development process of the education industry, Level 5 is equivalent to the highest level in the autonomous driving field, representing an advanced state of full autonomy and no need for human intervention. Squirrel Ai's intelligent teacher is a typical representative case. Sullivan's "2024 China Intelligent Learning Machine Industry White Paper" has evaluated Level 5 representatives, pointing out that Squirrel Ai's intelligent teacher is the only application to reach Level 5. Ernst & Young's "China Adaptive Education Industry White Paper" also lists Squirrel Ai's intelligent teacher as a representative application that has reached a fully adaptive education level. With core drivers such as recognition and interaction, data processing and learning, and cognition and intelligent reasoning, Squirrel Ai's intelligent teacher has successfully realized an ideal adaptive education model where all aspects from teaching preparation to teaching implementation and feedback are independently handled by AI, truly achieving a state where no human teachers are needed for additional intervention, covering various scenarios such as classroom teaching, home tutoring, and social practice.

Under this growth rate, the core impact of AI-powered education is also becoming increasingly apparent. It is mainly manifested in two major aspects:

On the immediate assistance level, AI can achieve performance improvement in the short term. A variety of AI products have built an intelligent tool matrix that can quickly respond to students' personalized learning needs. With the help of intelligent devices, the real-time monitoring and feedback mechanism for students' learning behaviors and environmental changes can effectively enhance the learning experience. At the same time, AI technology supports seamless switching and integration of various learning models online and offline, and across different terminal devices, ensuring that students can obtain the required learning resources in the most convenient way, meeting the development of personalized needs.

On the long-term promotion level, AI can achieve long-term capability improvement by changing learning habits. This mainly includes five major aspects: the transformation of learning methods, the fairness of educational resources, the popularization of adaptive education, immersive learning, and intelligent supervision.

The report points out that AI technology, as a bridge, can transport high-quality educational resources to remote and resource-poor areas, narrowing the educational gap. At the same time, adaptive education, as an important technology and application for personalized education, has its widespread popularization, which can provide students with personalized learning path planning. Combined with gamification and competitive interaction elements, it creates an immersive learning environment, stimulates learning interest, and guides students to transition from surface learning to deep understanding of knowledge and cultivation of critical thinking and innovation abilities. In addition, in Google's "Future of Education" report, adaptive education is regarded as one of the three major technological trends and the core technology for global ed-tech companies to transform and invest in research and development since the beginning of the AI era.

With the dual support of advanced large-model technology and deep learning algorithms, AI has gradually taken on the role of an "intelligent guardian," providing students with all-round guidance and support.

Application Scenarios: Multi-modal Interaction and Adaptive Large Models Lead the Trend

As AI technology continues to permeate the education sector, its application scenarios are also becoming increasingly rich. From in-school to out-of-school, from teaching to learning, generative AI is integrating into various aspects and scenarios of education in multiple ways.

In in-school scenarios, generative AI demonstrates broad application potential. On the one hand, it can be used to build virtual experiments and simulated environments, providing students with practical operation opportunities; on the other hand, it can assist teachers in optimizing teaching design, improving teaching effects, and at the same time, playing a positive role in scientific research assistance.

In out-of-school scenarios, generative AI can provide 24-hour online tutoring, accelerate language skill improvement, customize personalized learning paths, and provide emotional companionship. For example, the "Intelligent Learning Companion" function launched by Onion Academy, by creating a virtual character named "Nuannuan," interacts with students through audio and video courses, helping them deal with emotional problems during the learning process. Facing the challenges of students' self-management and emotional adjustment, Squirrel Ai's intelligent teacher has a built-in "intelligent mentor" in the system, which can accurately identify students' emotional states, conduct emotional exchanges, and, when necessary, refer them to professional psychological counselors, forming a closed-loop emotional support system and creating a learning environment with "technical efficiency + humanistic warmth."

In scenarios that take into account both in-school and out-of-school contexts, generative AI plays a key role in intelligent homework grading and feedback, education management and decision support, and intelligent adaptive learning content generation.

The report, taking Squirrel Ai Intelligent Teacher as an example, points out that it relies on a self-developed full-subject multi-modal adaptive education large model to accurately locate students' knowledge gaps, customize personalized learning plans, and thus effectively improve performance. In the homework grading and feedback process, it captures homework information in all aspects, integrates and deeply analyzes multi-modal data such as text and graphics, achieving a grading accuracy rate of over 90%, significantly reducing the teacher's workload. At the same time, with the help of draft paper content intelligent analysis technology, it accurately locates the cause of students' errors and provides students with targeted guidance in problem understanding and logical reasoning.

Case Studies: Vertical Domains and Independent R&D Build Brand Differentiation

The report, through in-depth research on domestic and foreign artificial intelligence education brands, has selected five major AI-powered education best practice cases.

DreamBox Learning focuses on the fields of mathematics (K-8) and reading (K-12), and with the help of AI technology, it deeply analyzes students' learning styles, pace, and understanding levels to tailor personalized course content for them. Through the clever integration of game elements, such as challenges, rewards, and achievement mechanisms, it significantly improves students' learning engagement and successfully creates an immersive learning experience.

Squirrel Ai Intelligent Teacher, as a representative of the Level 5 full-scenario educational intelligent agent, is the first unicorn technology innovation enterprise in China to introduce adaptive learning technology into the education field, focusing on the K-12 education field. Its self-developed world's first full-subject multi-modal adaptive education large model LAM (Large Adaptive Model), with a "data layer - model layer - application layer" technical architecture, has created an AI intelligent teacher with "eyes, ears, a mouth, and wisdom." It can not only accurately locate students' knowledge gaps and provide personalized learning paths but also interact with students, solving the "one-size-fits-all" pain point of traditional education.

Khanmigo is built on OpenAI's large language model (LLM) and uses ChatGPT & GPT-4 as its training model, providing a strong foundation in language processing and the ability to respond to various different human inputs. In addition, Khanmigo comprehensively covers various subject areas from elementary school to university, providing students with a personalized and adaptive learning experience, guiding them to think independently. It can also empower educators by guiding them to create lesson plans through dialogue, effectively improving lesson preparation efficiency and teaching quality.

TAL Education Group's business layout is extensive, covering quality education, adult education, smart books, smart hardware, and many other fields. Based on the different growth characteristics of children and adolescents, it has carefully developed a scientific cultivation system suitable for ages 3-18. In the field of mathematics, with problem-solving and explanation algorithms as its core technology, it has independently developed the Jiuzhang Large Model, injecting innovative power into mathematics education.

iFlytek deeply integrates artificial intelligence and big data technology to create a product and service system that covers all scenarios of school teaching, teacher development, smart exams, quality education, and independent learning. Its launched world's first cognitive large model AI learning machine has 8 core large model functional features, closely meeting the needs of primary, junior high, and senior high school students and parents, comprehensively covering key learning links such as preview, review, test preparation, and homework tutoring, and providing students with all-round learning support.

Industry Insights: AI Reshapes the Education Paradigm, the Ability to Evolve Teaching is Key

Through an in-depth analysis of the current situation of AI education applications and practical cases, it is not difficult to find that AI technology is reshaping the education industry landscape. Against this backdrop, understanding and mastering the future development trends of the industry is crucial.

For educational institutions intending to enter the AI education track, they need to focus on product algorithm optimization and personalized learning capability improvement. They should deeply examine the accuracy and effectiveness of the intelligent evaluation system and adaptive teaching functions, and strengthen the real-time feedback and dynamic teaching content adjustment mechanism to adapt to the high-standard requirements of the education market for intelligent education products and services.

For investors, when considering investment projects, they should comprehensively analyze the stability of the enterprise's technical barriers, the accuracy of its market positioning, the feasibility of its business model, the comprehensive strength of its team, and the adaptability of its policy environment. They should prioritize enterprises with independent intellectual property rights, outstanding technical advantages, and strong sustainable innovation capabilities to ensure investment returns and the sustainable development of the industry.

Among the distinguished speakers was Dr. Joleen Liang, co-founder of Squirrel Ai Learning, who joined a high-profile panel with Khan Academy Chief Learning Officer Kristen DiCerbo and SchoolAI CEO Caleb Hicks to explore "Cultivating Critical Thinking in the Age of AI Tutors". 

Hailed as the 'Davos of EdTech', the ASU+GSV Summit is one of the most influential events in global education and workforce learning. It provides a platform for leading innovators across the "PreK to Gray" (early childhood through lifelong learning) sector to exchange ideas, share best practices, and explore opportunities for collaboration.

Dr. Liang opened the discussion with a compelling thesis: "AI won't replace human thought—it's a tool to ignite deeper cognition". She elaborated on this viewpoint by citing the company's proprietary large adaptive model (LAM) for multimodal education as an example.

With the growing popularity of general-purpose AI led by LLMs and ChatGPT, Squirrel Ai Learning 's multimodal LAM remains laser-focused on the education sector. Leveraging 117 patented technologies, including fine-grained knowledge component decomposition and root-cause analysis, it dynamically tracks students' problem-solving processes to deliver truly personalized learning solutions. This ensures every learner discovers their optimal study method, accelerating the progress of adaptive education.

Squirrel Ai's all-subject multimodal adaptive learning model enhances intelligent human-computer interaction, enabling seamless voice and text-based engagement with students. For instance, when a student solves a math problem, instead of just grading the answer, Squirrel Ai Learning's adaptive tutoring system guides them with Socratic questioning: "Would the conclusion hold if the conditions change?" This approach encourages students to think independently and deepen their understanding by prompting them to verify their logic and re-evaluate problem-solving strategies.

Squirrel Ai Learning's MCM (Model of thinking, Capacity, Method) model further helps students uncover latent strengths. Dr. Liang emphasized, "We're nurturing adaptable thinkers—not training machine-dependent learners—and we believe it will benefit them for life."

Squirrel Ai Learning's innovations earned it a spot on the 2025 GSV 150 list, which evaluates over 2, 500 global companies backed by venture capital and private equity, and won the Most Transformational Growth Companies In Digital Learning and Workforce Skills award.

During the summit, many international educators recognized and praised Squirrel Ai Learning 's LAM model. Michael Horn from the Harvard Graduate School of Education shared that he frequently cites the company's adaptive tutoring system as a case study in his courses, commending its decade-long technological evolution and continued innovation.

According to publicly available data, the company allocates 30% of its annual revenue to R&D as part of its mission to make quality education more accessible. It has built a top-tier research team that brings together leading AI scientists and education professionals from around the globe, while collaborating with leading universities and research organizations worldwide. To date, Squirrel Ai Learning has opened over 3,000 physical learning centers across China and partnered with more than 60,000 public schools, collecting  nearly 10 billion learning behavior data points from over 24 million students.

As the deep integration of AI and education emerges as a central theme in education reform, Squirrel Ai Learning 's adaptive learning system offers the industry a tangible solution: AI should never replace student thinking but rather serve as a cognitive partner that cultivates critical thinking. The future of high-quality education requires both relentless innovation in technology and the commitment to preserve the human element that nurtures original thought.

Contact:
Li Huang
huangli@songshuai.com

The conference, themed "Human-Machine Collaboration and the Expansion of the Dialogic Space," explored the role of artificial intelligence (AI) in driving innovation in education, improving teaching outcomes, enhancing student engagement, and redefining the role of educators. The event brought together thought leaders, researchers, and policymakers from around the world to discuss the opportunities and challenges of AI in education. 

AI in Education: A Mix of Joys and Concerns

During a panel discussion titled "AI in Education: Friend or Foe," Dr. Ann Kristin Glenster of the University of Cambridge, Prof. Jenny Gibson of Neurodiversity and Developmental Psychology at the University of Cambridge, Prof. Yuan Li of Beijing Normal University, Co-chair Kellie Mote of the JISC Accessible Digital Futures Project, and Dr. Joleen Liang of Squirrel Ai shared their perspectives on the future of AI in education. 

Dr. Liang said that AI education should prioritize educational needs rather than just the technology itself. She noted that companies and researchers often become overly focused on AI advancements while neglecting the fundamental needs of education.

In K-12 education, it's crucial for students to engage in problem-solving through active thinking and learning processes, rather than simply looking for direct answers. Squirrel Ai's adaptive system was designed with this philosophy in mind, leveraging over 10 billion learning behavior records to analyze students' strengths and weaknesses. By offering personalized learning recommendations instead of instant answers, the approach fosters cognitive development and discourages AI dependency. 

Dr. Liang explained that AI would complement teachers by assuming roles in knowledge transfer and skills training, while they would increasingly act as supervisors, data analysts, and psychologists. In Squirrel Ai's system, educators focus on facilitating student learning rather than direct content delivery.  

Prof. Yuan Li emphasized the importance of using AI technology to drive educational innovation and prepare future teachers. Given the novelty of generative AI and related technologies, extensive research is needed to understand their implications, especially in teacher education. "Improving teachers' AI skills is crucial, as they need to understand and apply these technologies," said Prof. Yuan. "In China, there is significant policy support, and many companies have integrated large models into education systems for classroom use. To this end, our main focus is on how these technologies affect teachers' practical teaching methods."

Prof. Jenny Gibson saw great potential in integrating generative AI into relevant platforms and using it as an effective teaching method. However, she doesn't expect teachers to be replaced any time soon, as "old-fashioned" learning methods and in-person classroom experiences remain crucial. 

Kellie Mote, co-chair of the JISC Accessible Digital Futures Project, commented that while AI holds great promise, it's not a panacea. She advocated for responsible and trustworthy integration of AI technologies into educational settings.

Squirrel Ai Committed to Advancing AI Education

The conference highlighted the integration of generative AI in education and its transformative impact on academic practices, instructional design, and assessment. Keynote speeches included insights from several thought leaders.

Prof. Wayne Holmes from University College London presented "AI and Education: A Critical Studies Perspective," examining AI's role in education, debunking misconceptions, and addressing ethical challenges. He discussed balancing AI technology with education equity and human rights.

Prof. Rupert Wegerif from the University of Cambridge's Faculty of Education spoke on "Generative AI and Expanding Dialogic Space," exploring how generative AI fosters better thinking and communication among students. He advocated for leveraging AI technology to support education, aiming to enhance dialogic competence and benefit students in interdisciplinary and global dialogues.

Dr. Joleen Liang delivered a speech titled "Revolutionizing Personalized Learning through AI," sharing Squirrel Ai's research findings and insights on AI and personalized learning with international educators.

Since its inception, Squirrel Ai has invested over 2 billion yuan in technology research and development to advance AI in education. Leveraging over 10 billion student learning behaviors accumulated over the years, the company has developed the multimodal Large Adaptive Model (LAM) – the world's first large model integrating adaptive technology with multimodal large models in the education sector. 

By leveraging its proprietary AI adaptive learning and teaching platform, Squirrel Ai is expanding into the smart hardware domain. Its comprehensive suite includes AI-enhanced core skills development, intelligent diagnostic assessments, in-depth knowledge evaluations, sequential learning, MCM learning strategies, skill mastery training, mistake analysis, spaced repetition, error tracking journals, performance feedback reports, and Level 5 AI-driven interactive teaching capabilities. The technology has earned widespread acclaim from parents, students, and educators alike.

Furthermore, Squirrel Ai has provided robust commercial support for the rapid adoption of its multimodal adaptive learning system through the efficient expansion of its offline stores. With over 2,000 physical smart learning tablet stores nationwide, Squirrel Ai is now the largest AI learning device brand by retail footprint in China. Looking ahead, Squirrel Ai remains committed to providing every child with the best AI teacher.

Dr. Joleen Liang also said that Squirrel Ai has formed the AI Education Large Model Standards Committee to establish standards for AI in education. While trust in technology is essential, setting parameters and norms is critical. This requires a comprehensive consideration of the technical and knowledge aspects of education to ensure the effectiveness and safety of AI systems.

Looking ahead, Squirrel Ai remains committed to the research and development of its multimodal LAMs, maintaining its leadership in technological innovation while consistently advancing personalized learning. By introducing new and innovative approaches, Squirrel Ai is driving changes in educational models, methodologies, and resources, creating new opportunities for the future of education.

The Bett Asia EdTech Leadership Summit, a premier event showcasing the latest educational innovations and technological advancements worldwide, has recently concluded. This year's summit highlighted the most innovative educational resources from the Asia-Pacific region and unveiled the prestigious Bett Asia EdTech 10 list, providing guidance on the development of the global edtech sector.

Among the honorees, Dr. Joleen Liang, co-founder of Squirrel Ai Learning, stood alongside notable figures such as Fadzliaton Zainudin, Deputy Director of the Malaysian Ministry of Education, and Prof. Sudeshna Sani from the AI Research Center at India's Woxsen University. Their inclusion underscored Asia's significant role in advancing educational technology.

Pioneering Personalized Learning through EdTech Innovations

Since its inception in 1985, Bett has become a highly respected edtech conference in the UK and a benchmark event in the global education sector. Amidst a wave of edtech innovations, Bett's prominence in the industry continues to rise. This time, Dr. Joleen Liang's inclusion in the Bett Asia EdTech 10 list serves as a testament to her exceptional contributions to education technology and highlights Squirrel Ai's innovative capabilities in the global arena.

Squirrel Ai, a leader in education technology, has been dedicated to advancing adaptive learning since its inception. The company leads the charge in bridging the commercial gap in AI education, having developed the world's first all-subject multimodal Large Adaptive Model (LAM). This AI tutor revolutionizes traditional education models by providing efficient, high-quality learning services that include precise diagnostic learning assessments, customized learning strategies, and root-cause analysis, significantly enhancing personalized learning and teaching practices.

Squirrel Ai's multimodal LAM leverages 10 billion learning behavior data points from over 24 million students, enabling the platform to tailor learning journeys with great flexibility and accuracy. The AI-driven learning engagement is designed to accommodate a personalized learning and development strategy, ensuring that each student's individual needs are met.

In addition, Squirrel Ai's practical AI tutors are pushing the boundaries of AI-based learning solutions, redefining the competitive landscape in the edtech market and enhancing the overall quality of the industry. Squirrel Ai's far-reaching impact on the edtech sector once again captured global attention at this year's Bett Asia EdTech Leadership Summit.

Advancing Educational Impact and Developing an Adaptive Learning Ecosystem

During the award ceremony, Dr. Joleen Liang participated in an interview with Bett, where she emphasized the importance and original vision behind Squirrel Ai's personalized learning strategy. She also shared insights into potential future education scenarios within the adaptive learning ecosystem.

Dr. Liang noted that true equity in education depends on the ability to adapt to the inherent diversity in students' learning processes and resources. This, she believes, is the key to realizing the full potential of education technology. As a result, she continues to explore the core aspects of education and students' learning needs, develop adaptive learning technologies, and create immersive AI-based learning scenarios. These efforts help students maximize the use of educational resources and achieve a high-quality, efficient, and personalized learning experience.

Notably, Dr. Liang has spearheaded numerous public welfare initiatives aimed at providing multimodal adaptive learning services to students in resource-poor areas, significantly boosting their academic performance. Operating under the principle of educational equity, Squirrel Ai is leading the widespread deployment of a personalized learning ecosystem to broaden the adoption of adaptive learning technologies.

By expanding adaptive learning scenarios, Squirrel Ai provides effective solutions for more efficient remote and digital learning, converting physical educational assets into accessible resources. This transformation overcomes the inherent spatial and temporal limitations of traditional learning systems, facilitating the effective distribution of educational resources and enhancing both the efficiency and quality of education.

Looking ahead, Squirrel Ai is committed to continued investment in the research and development of multimodal LAMs, ensuring its leadership in technological innovation. By consistently introducing new and innovative approaches to learning, Squirrel Ai is shaping the future of educational models, teaching methods, and learning resources, creating new opportunities for the advancement of education.

Edtech Innovation: Reshaping Traditional Education
Since its establishment in 1971, the World Economic Forum has been dedicated to fostering an open global economic framework, advocating collaboration, and exploring economic growth through international industry dialogues. Amid the current fragmentation of the global economy, the forum highlights the Chinese market as a pivotal hub for global economic recovery, offering professionals insights into China's economic trends and nurturing cooperation.

China is capitalizing on the opportunities presented by the technological revolution and industrial transformation by exploring avenues for future economic growth aligned with global technological trends and environmentally-responsible development. To spur the emergence of new AI industry sectors, China is urging companies to venture into new and emerging technologies, consequently raising the bar for global innovation.

Squirrel Ai, a technology trailblazer, is leading future advancements in education technology and industrial applications. The company is refining core educational technologies and has introduced a multi-modal adaptive learning model that redefines traditional teaching methods and significantly enhances the efficiency of education delivery.

The edtech sector is poised to harness its innovative capacity to address traditional challenges in education and promote personalized teaching methods.

Championing EdTech Leadership
Squirrel Ai is dedicated to advancing AI-powered education technology. With substantial investments in research and development, the company is at the forefront of AI-based learning solutions. Its proprietary adaptive learning algorithm and 111 patents demonstrate its commitment to innovation. Mr. Li said that education is fundamental to meaningful social development and views edtech as a way to contribute to education and talent development, positioning it as a rapid route to the future of education.

The World Economic Forum spotlighted key challenges facing global education, including the shortage of instructors and a lack of initiative within the education system. AI is increasingly playing a crucial role in the sector, with the advent of new AI-based learning tools accelerating the pace of traditional education, transforming the learning ecosystem, and creating personalized learning environments through machine-based methods. This enables educators to efficiently address students' specific learning needs anytime, anywhere.

Squirrel Ai believes that integrating AI across the whole of the education continuum is a powerful approach to fostering personalized learning and creativity, contributing to the development of highly skilled professionals who will drive future economic and technological growth. Squirrel Ai's ambitious edtech vision received high praise at the forum, establishing the company as a key player in the global economic landscape.

Following his presentation, Mr. Li was interviewed by Xinhua Net, and The Beijing News, where he emphasized that the Chinese AI education sector is becoming a major force in developing new productive forces, especially since Squirrel Ai launched the first domestic multi-modal adaptive learning system. Squirrel Ai has made significant technological advances, resulting in the development of a new AI teacher that enhances the value of smart manufacturing and offers a personalized educational experience globally.

Identifying emerging trends and exploring potential growth opportunities demand a solid strategy for transitioning from rapid expansion to sustainable development. Squirrel Ai is dedicated to advancing cutting-edge fields and AI applications, while offering innovative solutions in educational technology. The company is at the forefront of the global education sector, spearheading transformative changes and setting new standards across the industry.

The certificate presentation took place during Squirrel Ai Learning's Annual Marketing Conference on October 29. Guinness World Records official adjudicator Wu Xiaohong awarded the certificate to Wei Zhou, co-founder and CEO of Squirrel Ai Learning, cementing the company's status as the record holder.

At the ceremony, Ms. Wu said, "It's a pleasure to be in Lijiang to present Squirrel Ai Learning with the Guinness World Record certificate. On behalf of Guinness World Records, I am proud to announce that Squirrel Ai Learning organized 112,718 participants for an online math lesson in Shanghai from September 21 to 22, 2024, earning the title for the most users to take an online mathematics lesson in 24 hours. Congratulations on this remarkable achievement!"

Mr. Zhou expressed his gratitude to Guinness World Records for the recognition and opportunity, as well as to all Squirrel Ai Learning students who contributed to this historic feat.

As a leading edtech unicorn in China, Squirrel Ai Learning utilized its AI-powered tutoring system during the challenge, enabling over 110,000 students to achieve significant learning milestones and ushering in a new era of AI in education.

Squirrel Ai Learning's AI Teachers Demonstrate Impressive Learning Outcomes

Sam Altman, OpenAI's founder, once noted, "The difference between classroom education and one-on-one tutoring is like two standard deviations – unbelievable difference. Most people just can't afford one-on-one tutoring… If we can combine one-on-one tutoring to every child with the things that only a human teacher can provide, the sort of support, I think that combination is just going to be incredible for education."

Squirrel Ai Learning shares this vision, and its Guinness World Record challenge, engaging 112,718 students, highlighted AI's vast potential in education.

At the conference, Dr. Joleen Liang, co-founder of Squirrel Ai Learning, delivered a keynote on the Guinness World Record challenge.

To validate the challenge's impact, iResearch, a renowned third-party institution, released the Empirical Research report on the Effectiveness of Squirrel Ai Adaptive Learning System: A Guinness Challenge Project.

Squirrel Ai Learning's AI teachers excelled in personalized instruction, enhancing students' knowledge mastery, answer accuracy, and overall capability.

Throughout the challenge, Squirrel Ai Learning's adaptive learning system crafted 108,435 unique learning avenues for 112,718 students, ensuring a tailored educational experience. This personalization allowed the system to align learning strategies closely with individual performance and needs.

The adaptive system designed 111,704 unique exercise pathways for 112,718 students, covering 99.1% of the student population. This nearly one-to-one ratio highlights the system's exceptional personalized teaching capabilities, ensuring each student receives a customized learning strategy. Dr. Liang noted that the adaptive learning module used throughout the Guinness World Record challenge encompassed just 2 hours of learning and that with more time the personalization rate would undoubtedly reach 100%.

This approach not only addressed knowledge acquisition but also personalized exercise practice, achieving efficient and precise learning outcomes.

The adaptive system's personalized instruction yielded instant results. iResearch reports significant improvements in students' knowledge mastery and answer accuracy across both synchronized and supplementary learning modules.

In synchronized learning, the average mastery level soared from 41.6% to 85.1%, a 43.5% increase. Supplementary learning saw a 42.4% improvement, rising from 32.3% to 74.7%.

Answer accuracy also skyrocketed. In synchronized learning, it climbed from 22.1% to 87.0%, a 64.9% jump. Supplementary learning witnessed an astonishing 80.8% increase, rising from just 2.1% to 82.9%.

These findings highlight the adaptive system's ability to not only improve learning outcomes but also pinpoint knowledge gaps through the supplementary module, ensuring substantial gains in mastery and accuracy after targeted learning.

Furthermore, parents have a keen interest in their children's skill development.

Within the adaptive learning system, each question is tagged with specific abilities, including numerical intuition, reasoning, symbolic perception, and application.

Using these tags, the system efficiently tracks student performance across various dimensions and evaluates progress in each area pre- and post-learning.

The adaptive system markedly improved students' learning outcomes, boosting accuracy rates in reasoning and application by 16.8% and 11.6% respectively, highlighting its substantial efficacy in enhancing diverse learning abilities.

Squirrel Ai Learning's AI teachers, through this challenge, presented a compelling data-driven case study, offering invaluable insights and a strong value proposition for the deployment and proliferation of AI in education.

Squirrel Ai Learning Advances Personalized Learning Innovation

Despite AI's growing presence in education, China's AI education landscape faces notable hurdles, with implementation challenges hindering the widespread adoption of personalized learning.

To overcome these barriers and drive AI in education forward, Squirrel Ai Learning has consistently invested heavily in both financial and human resources.

Since its founding, Squirrel Ai Learning has pumped over 2 billion yuan into R&D, utilizing 10+ billion instances of student learning behavior to train and refine the multimodal Large Adaptive Model (LAM). This groundbreaking model marks the world's first integration of adaptive technology with multimodal capabilities specifically tailored for education.

Leveraging its proprietary adaptive learning system, Squirrel Ai Learning has successfully ventured into the AI hardware realm. Its comprehensive suite includes AI-powered foundational skill development, intelligent diagnostic assessments, in-depth knowledge evaluations, sequential learning, MCM learning strategies, skill mastery training, mistake analysis, spaced repetition, error tracking logs, performance feedback reports, and Level 5 AI-driven interactive teaching capabilities. The technology has earned widespread acclaim from parents, students, and educators.

Meanwhile, Squirrel Ai Learning's extensive network of physical stores provides robust commercial backing for its multimodal adaptive learning offerings. With 2,000+ smart learning tablet stores across China, Squirrel Ai Learning boasts the largest retail footprint among AI learning device brands in the country.

Looking ahead, Squirrel Ai Learning remains committed to further exploring and expanding the potential of AI in education, striving to grant more children access to top-notch educational resources.

Guinness World Records embodies the spirit of "Beyond the Limits, Achieving Personal Bests", celebrating the incredible across various domains to help individuals discover their potential and redefine the world. Squirrel Ai Learning embraces this challenge as an opportunity to impart the message of "Pushing Boundaries and Unleashing Potential" to students.

From individual lifelong dreams to collective aspirations of thousands, the tale of record-breaking holds profound inspiration, spurring remarkable achievements worldwide. This resonates with Squirrel Ai Learning's brand philosophy, as we aspire to empower more children to unlock their potential, continually surpass themselves, and conquer life's peaks one after another.

This year's conference, themed "Governing AI for Good and for All," welcomed 1,300 global leaders, exhibitors, and groups from over 50 countries and regions. They included nine recipients of the Turing Award, Fields Medal, and Nobel Prize, as well as 88 distinguished academics from some of the world's leading universities and research institutions. During the event, participants explored AI methodologies with the highest potential to significantly accelerate the development of groundbreaking and sustainable technologies.

Wei Zhou, co-founder and CEO of Squirrel Ai, was a key speaker at the session "Towards AGI: Large Models Renewal and Industrial Empowerment." Zhou provided deep insights into the deployment of large-scale models across various industry landscapes, spotlighting significant technical breakthroughs and discussing potential avenues for leveraging these advancements to foster new models for quality-driven production across multiple sectors.

1. Harnessing Educational Innovation to Drive New Paradigms of Productivity

Since its launch in 2018, the World AI Conference (WAIC) has emerged as a cornerstone event in the global AI landscape, captivating stakeholders from multiple sectors. WAIC has become an essential arena for demonstrating and exchanging state-of-the-art AI technologies, with this year marking its most extensive participation yet. Over its six editions, the WAIC has invited numerous legendary leaders from around the globe to explore the future of the AI industry, including Tom M. Mitchell, the "godfather of machine learning"; Jürgen Schmidhuber, the "father of neural networks"; Andrew Ng, founder of Landing AI; Jack Ma, founder of Alibaba Group; and Elon Musk, co-founder of Tesla. This year's WAIC centered on global governance, industrial development, and frontier science, with a particular emphasis on large models, computation, robotics, and autonomous driving. WAIC has consistently pushed the envelope on AI+ technologies, helping to transition the world of AI into a new era of development.

Notably, this year's WAIC has boasted its largest participation to date. The conference featured not only internet industry giants such as Baidu, Alibaba, Tencent, Huawei, China Mobile, China Unicom, China Telecom, and Microsoft, but also numerous cutting-edge technology companies, with Squirrel Ai serving as a prime example. These participants showcased their innovative achievements in the field of large models and the diverse industrial forms of AI technology.

The development of large models is a crucial direction in AI, representing the forefront of current AI technology. The forum, themed "Boundless Model Power, Industrial Co-Governance," focused on key topics such as edge intelligence, and the industrial application, security and governance of large models. It brought together top minds from institutions like Tsinghua University, Ant Group, and Zhongguancun Laboratory to collaboratively explore the paths to application of and innovation in large models.

In his keynote, "AI Reshaping the Future of Education," Mr. Zhou, the Squirrel Ai CEO, discussed the transformative power of the company's Large Adaptive Model (LAM), addressing the challenges and breakthroughs in large models. His vision for a reimagined educational system through AI underscored a shift towards personalized, technology-driven learning, showcasing Squirrel Ai's commitment to pushing the boundaries of educational norms and offering a personalized learning experience to all students, no matter where they are in their knowledge and skills acquisition journey.

2. Revolutionizing Education through Technological Innovation

At the Conference, the release of the "2024 Collection of Exemplary Application Cases of Large Models" garnered significant attention. This casebook features the latest and most comprehensive practice cases of large model applications in China, examining select implementations in the manufacturing, healthcare, financial, legal, education, and agricultural sectors. The compendium evaluates breakthroughs based on criteria such as scenario adaptability, technological execution, and innovative impact, highlighting exemplars of real-world utility and transformative potential. Leveraging its new multi-modal adaptive engine and the Squirrel Ai Smart Instructor, Squirrel Ai has been featured in the casebook and received an award. The recognition showcases to various sectors the ideal trajectory of technological advancement and innovative achievements.

From universal concepts to practical applications, Squirrel Ai has consistently prioritized innovation as its driving force, focusing on core technology to facilitate transformation and make significant advances in AI-driven educational methodologies. With its multi-modal adaptive engine, Squirrel Ai has introduced a "new force" for personalized education. Following the Conference, Mr. Zhou and his peers in related industries engaged in further discussions on the innovative applications of large models. They explored future opportunities in new and emerging industries, forms, and models, seeking novel pathways for the advancement of both the AI and the educational technology sectors.

In response to a world where technology evolves at breakneck speed, Squirrel Ai has developed a strategic roadmap from innovation to implementation. The company leverages the continuous iteration of its large models as a key breakthrough to accelerate innovation in education. The approach not only addresses the final steps in deploying the Squirrel Ai Smart Instructor but also facilitates the integration of AI education into everyday life. As a result, large-scale, student-tailored education has become a viable possibility.

As the synergy between AI and education continues to foster new innovations, Squirrel Ai has become a major force in transforming education through its collaborative ecosystem within the technology sector. The initiative has positioned China as a leader in AI educational technology on the global stage, demonstrating the effectiveness of intelligent, adaptive learning systems that have captured the attention of educational communities worldwide. Throughout its development, Squirrel Ai has focused on creating AI-driven educational solutions that enhance productivity and incorporate a variety of technological approaches, establishing a foundation for future educational advancements. Looking ahead, the company is dedicated to further exploring the transformative potential of education through AI, with plans to develop a comprehensive framework that will further solidify China's role in shaping an educational ecosystem powered by smart technology.

The ASU+GSV Summit, a joint initiative between Global Silicon Valley (GSV) and Arizona State University (ASU), has been held for 15 years. The global education event is packed with thought-provoking keynote speeches, panel discussions, and seminars, covering a range of topics related to K-12 education, higher education, edtech innovation, investment, and the future of work and life. It aims to merge pioneering ideas from the social and business sectors, highlight groundbreaking technologies in education, and strive for universal access to future education innovations. 

Over the last 15 years, the ASU+GSV Summit has brought together leading figures from across the industry to discuss the future of innovative education. Notable attendees have included Sam Altman of OpenAI, former U.S. Presidents Barack Obama and George W. Bush, Bill Gates of Microsoft, Luis von Ahn of Duolingo, Eric Yuan of Zoom, and renowned singer John Legend. This year, the event welcomed thousands of industry elites from over 50 countries to explore new opportunities in innovative education.

At the summit, Dr. Liang shared insights on AI education, outlining Squirrel Ai's pioneering approach to large education models and its ambition to transform the education landscape through adaptive technology. Following her presentation, Dr. Liang engaged in discussions with the President of Google Education in North America and the COO and Scientist of Google DeepMind. The topics covered included collaborative innovation and future directions for the global AI+ education industry.

In recent years, AI has seen significant global growth, with a notable impact on our daily lives. At the forefront of AI's rapid progress, Squirrel Ai, a leading edtech innovator, continues to pioneer global AI applications. In early 2024, the company launched the world's first all-subject adaptive large learning model. As China's first large model engine that combines adaptive technology with multimodal large models in education, Squirrel Ai is offering new insights into how traditional and modern education systems can be blended. The adaptive large learning model developed by Squirrel Ai is integrated into their smart learning devices, which construct a comprehensive knowledge graph for students across all subjects, providing them with a vast array of learning resources. Additionally, the devices leverage cutting-edge AI algorithms to analyze student learning patterns and identify areas for improvement. This enables the delivery of personalized teaching plans, ensuring each student receives the attention they require and making education truly tailored to their needs.

Driven by Dr. Liang's vision and a dedicated team for AI edtech, Squirrel Ai has leveraged its technological expertise to tailor education to each student's abilities, nurturing smart learning and personal growth. Looking ahead, Squirrel Ai remains committed to advancing AI education, driving excellence in the industry, and facilitating widespread innovation and transformation in traditional education systems globally.

The Squirrel Ai S20, equipped with TCL's NXTPAPER eye-care display, providing a paper-like reading experience that optimizes eye comfort. It also features posture-based distance reminders to safeguard ocular health. The tablet leverages AI and big data to introduce the world's first adaptive large learning model, distancing itself from the traditional one-size-fits-all approach and embracing personalized learning. The development gives each student access to more individualized and intelligent learning solutions and experiences.

Powered by this large model, the S20 boasts comprehensive diagnostic and assessment capabilities, pinpointing student weaknesses and crafting tailored learning plans. Additionally, the system supports emotional interventions, analyzes children's capabilities and skills, and provides positive feedback to encourage good learning habits, enhance emotional engagement, and help each child reach their full potential.

At CES, discussions between TCL and Squirrel Ai focused on the existing education ecosystem. Zhang Xin, CEO of TCL Communication, highlighted TCL's leadership in display technology and the growing recognition of NXTPAPER technology among parents, teachers, journalists, and startups like Squirrel Ai. Derek Li, Chairman and Chief Education Technology Scientist of Squirrel Ai and Chairman of the IEEE Working Group for AI Education Large Model Standards, commented, "As China's first tech unicorn in AI adaptive learning for education, our company has been engaged in technological development and product innovation in response to the country's call, continuously leveraging technological advancements to support education. In collaboration with TCL, a prominent industry partner, the Squirrel Ai S20 places a priority on student eye health while also unveiling our first adaptive large learning model on a global scale. The pioneering solution merges adaptive technology with multi-modal large models, driving the AI and smart education revolution forward."

Squirrel Ai plans to launch an international version of its tablet by year's end, catering to the needs of students globally and broadening the awareness of Chinese edtech brands on the world stage. Looking ahead, TCL and Squirrel Ai are teaming up to leverage their respective expertise to push for standardized AI education in China and provide a transformative boost to the global education industry.

About TCL Electronics

TCL Electronics (1070.HK) ranks among the world's fastest-growing consumer electronics companies and is a global leader in the manufacturing of TVs and mobile devices, with TCL Communication as its wholly-owned subsidiary. For nearly four decades, TCL has operated manufacturing and R&D hubs worldwide, distributing products across 160+ countries and regions throughout the Americas, Europe, the Middle East, Africa, and Asia-Pacific. TCL specializes in the research, development and manufacturing of consumer electronics including TVs, mobile phones, audio devices, and smart home products. For more information about TCL's mobile communication business, please visit: http://www.tcl.com/global/en.html.

TCL is a registered trademark of TCL Corporation. All other trademarks are the property of their respective owners.

About Squirrel Ai Learning

Squirrel Ai Learning has established itself as a tech-savvy startup in China, pioneering the integration of AI adaptive learning with education. With nine-plus years dedicated to AI research, it has rolled out the globe's first all-subject adaptive large learning model, marking China's first-ever fusion of adaptive learning with multi-modal large models for education. An Ernst & Young report rates Squirrel Ai's adaptive technology as achieving Level 5 autonomy in learning. Since 2021, the firm has shifted its focus to the mid-to-high-end smart learning device market, emphasizing L5 autonomy, with shipments surpassing 200,000 units. Squirrel Ai also provides adaptive teaching and learning SaaS systems to over 60,000 schools, reaching 24 million students. Its large model has collected and analyzed data from over 10 billion learning behaviors. Following extensive data training, Squirrel Ai has made significant advances in AI technologies, including recommendation algorithms and deep knowledge tracing. By leveraging its proprietary AI adaptive learning and teaching platform, Squirrel Ai is steadily expanding into the smart hardware domain. Its comprehensive suite includes AI-enhanced foundational skill development, intelligent diagnostic assessments, in-depth knowledge assessments, sequential learning, MCM learning strategies, skill mastery training, mistake analysis, spaced repetition, error tracking journals, performance feedback reports, and Level 5 AI-driven interactive teaching capabilities. The technology has earned widespread acclaim from parents, students, and educators alike. Currently, Squirrel Ai has a vast network of over 2,000 physical smart learning tablet stores nationwide, making it the largest AI learning device brand by retail footprint in China.

SHANGHAI, Oct. 10, 2024 /PRNewswire/ -- As the new school year kicks off, the new buzzword has gone viral -- "painless learning."

Nowadays, AI has rapidly integrated into the study and lives of university students at an unprecedented pace, and more and more people are beginning to experience what it feels like to shift from "painful learning" to "painless learning." But is AI only changing the lives of university students? Absolutely not. Recently, a news story broke about AI offering creative ideas to a young boy in Chengdu, China, to mass-produce hand-drawn posters, frantically catching up on his summer homework with the start of the school year approaching.

Whether you embrace or hesitate towards it, the undeniable truth is that AI is profoundly impacting the field of education. From elementary students to university students, none can escape this overwhelming wave. What is it about AI that makes it blend so seamlessly with education? The reason lies in the fact that education should be tailored to each individual, but teachers cannot always give attention to every student. AI, however, completely breaks through this limitation in reality. Moreover, thanks to cutting-edge technologies like LLM (Large Language Models) and AIGC (AI-generated Content), traditional adaptive learning has gradually evolved into more intelligent "adaptive learning." Some representative educational institutions have seized the opportunity and are investing in adaptive learning. For example, Duolingo Max employs role-playing techniques, allowing students to converse with AI through simulated scenarios.

Khanmigo uses a platform with personalized LLM dialogue, asking continuous questions to help students build knowledge while providing personalized teaching, ultimately resolving their doubts. 

Andrew Ng's Coursera, based on open online courses, offers online adaptive learning courses and a blended learning model. Clearly, adaptive learning is becoming a consensus in the AI education sector. Coincidentally, at the recently concluded ACM KDD 2024, the closing ceremony's major roundtable discussion focused on GenAI + Education.

During the roundtable, participants including Professor Nitesh Chawla (AAAS/AAAI/ACM/IEEE Fellow) from the University of Notre Dame, Professor George Karypis (IEEE Fellow) from the University of Minnesota, Dr. Joleen Liang, Co-founder of Squirrel Ai, and Professor Ricardo Baeza-Yates (ACM/IEEE Fellow) from Northeastern University, dissected the outlook for the future of GenAI and examined potential innovative use cases.

Additionally, Squirrel Ai's R&D team presented a paper at the main session of KDD, exploring the application of large language models (LLMs), specifically educational models, in time series analysis. They also hosted a workshop and delivered some of the keynotes during GenAI Day.

As the longest-running and largest international conference in the field of data mining, and an A-class academic event in China, KDD annually attracts thousands of leading scholars and business leaders from around the globe. It is a rare occasion for businesses to participate in academic discussions at such an international top-level gathering. Squirrel Ai, as of the few companies invited to participate and present a paper, demonstrated its proven expertise in AI-driven learning. So, what do these industry leaders think about the current development of AI? 

What True AI Personalized Learning Looks Like

Years ago, when AI was still nowhere as ubiquitous as it is today, Squirrel Ai faced numerous questions – why incorporate AI into education? What can it do? The answer is we use AI to provide students with a true personalized learning platform and content. Today, everyone is considering how to maximize the value of GenAI. If the goal is just to make a quick buck by establishing a company in a short time, this mindset is actually very dangerous. Instead, leveraging this technology wisely, for example, in data analysis to enhance student learning, rather than merely churning out content – presents a significant opportunity. Currently, we are shifting the focus to human-machine interactions.

As we embark on interactions fueled by language and multimodal capabilities, we find ourselves at the dawn of a robots-led industrial revolution. However, we are still at a very early stage of using AI in education. Despite AI, MOOC (Massive Open Online Courses), online and remote learning, as well as speech and semantic recognition, the essence remains rooted in conventional learning methods. They fail to deliver truly personalized learning experiences. What is personalized learning? Many assume that it is about typing a question into ChatGPT and getting back an answer, but this is far from the truth. Dr. Joleen Liang indicated that most users, even companies, are yet to understand the nature of personalized learning. Hence, we have a long journey ahead to demonstrate what a truly personalized learning and AI-driven adaptive learning technology entail. As a minimum requirement, it should be one that allows users to understand, experience, make mistakes and re-experience. The next step involves the integration of AI, personalized learning, AI-driven adaptive learning systems, multimodal capabilities, and large models.

AI-driven adaptive learning not only helps students achieve higher scores, but also enables them build a broader range of skills within the same learning timeframe. Envision a scenario where students of varying ages sit around a table, without a teacher. They collaborate on group assignments or work together to address challenges. Students learn autonomously with interconnected devices, while teachers take the role as assistants, data analysts, emotional supporters, and mentors. This vision of AI-driven adaptive learning models represents the future of education.

GenAI makes a difference in education

The shortcomings of K-12 education are widely acknowledged. As we enter a technological renaissance, schools and parents aspire for more intelligent and personalized educational experiences for their children. Can GenAI provide innovative applications in the K-12 education sector? If so, the future of education will be revolutionized, offering more value to students and educators alike. The characteristics of GenAI address the needs of K-12 education.

Personalized learning: the common metric for LLMs in education

The question becomes, is there a common standard for evaluating the application of GenAI (Generative Artificial Intelligence) in education, and what should that standard be? In 2022, a report released by Google mentioned three major trends in future education, one of which is "personalized learning" with adaptive capabilities.

Personalized learning underscores student autonomy, where learners take charge of their educational journey unhindered by external influences. The approach is paramount to fostering important skills and competencies. Throughout the process, learners work with peers and seek guidance from educators. In a 2021 report, EY likens the progression of education to the stages of autonomous driving based on the use of intelligent technologies, categorizing it into six levels (L0 to L5). L0 represents traditional human-led instruction without automation. L1 reflects early digital integrations, including live and recorded lectures. L2 encompasses supportive tools such as photo-based question-solving approach, while L3 to L5 mark the full integration of AI throughout the learning journey for personalized experiences. At the pinnacle of this evolution stands L5 – "fully intelligent adaptive education," where AI assumes the primary role in instruction, eliminating the need for any external resources. Squirrel Ai provides a model example.

Achieving L5: Fully AI-based adaptive learning

In the K-12 education sector, Squirrel Ai, a company with over ten years of expertise, understands that GenAI can dynamically adjust learning content and difficulty by analyzing students' learning data. This approach offers a learning path tailored for each individual. The data-driven teaching method enhances learning efficiency and effectively fills in students' knowledge gaps, ensuring their holistic development. Here's how powerful GenAI strengthens students' learning outcomes:

- Knowledge Point Breakdown: To build learning skills, it is necessary to understand and correlate the knowledge points within the system. Squirrel Ai achieves this goal with Socratic-style guided questions, which prompts students to think actively and deepen their comprehension, creating a more efficient and personalized learning environment. Squirrel Ai uses its unique database containing 10 billion learning behavior data points collected from the entire learning journeys of 24 million students. The data is fed into the LLM for iterations in recommendation algorithms and deep knowledge tracing. Consequently, the model adeptly captures complex relationships and patterns within the data, quickly identifying connections between knowledge points, questions, and students' skills. By doing so, the model can generate accurate learning profiles and offer tailored, personalized services.

- Error Analysis: Squirrel Ai's new Large Adaptive Model introduces an intelligent analysis function for draft paper content. The feature allows deep analysis of every step in a student's problem-solving process, pinpointing errors in question comprehension, logical reasoning, calculation, and handwriting transcription. This ensures both students and teachers can identify issues quickly and accurately, and address weaknesses accordingly. This is made possible by the significant leaps in regular assessment efficiency and accuracy achieved by the new version of the multimodal large model, especially in subjective question grading. For example, it can accurately assigns scores and provides detailed explanations of deducted points, offering a comprehensive insight into students' learning outcomes.

- Human-Machine Interaction: In terms of intelligent human-machine interaction, the new multi-modal adaptive engine has reached a new height. It supports both text and voice interaction modes, covering over 100 interactive dialogue scenarios. More thoughtfully, it possesses high-precision emotion recognition capabilities. With the feature, if a student experiences emotions like confusion, happiness, or distraction, the model can accurately detect them and promptly provide personalized feedback and encouragement in real-time. Furthermore, to create a more comprehensive and immersive audiovisual learning experience, Squirrel Ai has upgraded its intelligent scanning pen and headphones in a move to build a complete AI-based adaptive learning ecosystem. Its flagship product —the Smart Instructor S211 Egret—has revolutionized the traditional setup by using the unique digital paper technology, offering original color, color ink, and water ink display modes, paired with a high-definition camera to capture learning details in real-time. It sets a new industry benchmark in user experience and health considerations.

Squirrel Ai's Large Adaptive Model LAM

So, how does the multi-modal adaptive engine LAM proposed by Squirrel Ai work behind the scenes?

The model's architecture consists of three key components: a knowledge graph, a recommendation engine, and Retrieval-Augmented Generation (RAG). The recommendation engine contains different planners and agents, including both short-term and long-term path planning. Other components include sentiment analysis, path tracking (as each student has their own learning path), feedback, and summarization from the large model. Additionally, the AI system also incorporates two essential elements: parent goals and student profiles.

Within the intelligent agent architecture, the entire agent is called the "adaptive agent." Its architecture houses an array of agents: data analysis agent, teaching autonomous driving agent, instructional Q&A agent, reasoning agent, and reading comprehension agent. Discipline-specific agents for physics, English, and science, work together to engage with students and provide them with personalized content recommendations. To facilitate the efficient coordination of these multi-faceted agents, the research team has developed a three-tiered adaptive engine. Tier 1 encompasses Goal, Learning Map, Content Map, and Root Cause Analysis. These dynamic elements set not just static targets, but also adapt to students' pace, progress, and data insights in order to ensure recommendations are always optimized and relevant. The Root Cause Analysis, in particular, provides pinpoint accuracy in diagnosing and addressing student misconceptions.

Tier 2 focuses on learning records. The AI system keeps track of and evaluates all students' learning materials. Tier 3 is realized by seamless interaction between the students and the AI system. Real-time data from these engagements is fed into the AI-based adaptive engine, where the AI system performs computation and analysis. Based on these insights, the AI system dynamically recommends tailored learning content, including knowledge, MCM (methodology, capability, mindset) skills, and practical applications. In addition, Squirrel Ai's engine incorporates other key technologies, including the world's first "Nano Level Granularity Knowledge Graph". Recognizing that learning objectives vary widely across grades and subjects globally, Squirrel Ai's research team has sorted these objectives into refined layers for developing algorithms. To cite an example, an objective about "addition and subtraction of fractions" can be broken down into second-level learning objectives (e.g. addition of fractions, subtraction of fractions, simple fraction calculations, multi-step fraction calculations). Third-level learning objectives with finer granularity can be derived from the second level, as shown in the figure below. Ultimately, one objective can be divided into nine layers.

Squirrel Ai's Large Adaptive Model (LAM) also comes equipped with a prediction engine capable of estimating up to 100 learning objectives to be met based on a student's 10 hours of study. The estimates dynamically change as the student progresses. Additionally, the recommendation engine within Tier 1 dynamically adjusts learning objectives based on real-time data. As shown in the figure below, the engine works as a root cause tracing system. Taking Grade 10 as the highest and Grade 7 as the lowest, from bottom to top, the green line refers to the learning objectives, knowledge, and skills that students have mastered. Suppose a student is in Grade 10 and faces difficulties in understanding a concept. The AI system will then trace the source of the question and suggest that the student review specific courses at the Grade 7 level. Only after ensuring that he has mastered the knowledge points, the AI system will resume his learning path.

Consider a scenario where three students each demonstrate an 80% mastery of learning objectives. Despite this shared overall proficiency, Squirrel Ai's system reveals distinct strengths and weaknesses among them, as indicated by the distribution of their remaining 20% of knowledge. This underscores the importance of a robust problem tracing system, which empowers educators and students alike to address individual learning gaps.

The inclusion of the MCM system demonstrates Squirrel Ai's commitment to equipping students with the skills demanded by various industries and professions. From language to physics to mathematics, each discipline requires a unique mix of skills, and Squirrel Ai's MCM training ensures that students are well-prepared to excel in their chosen fields.

Squirrel Ai's Large Adaptive Model LAM stands apart from conventional LLMs. Taking ChatGPT for example, the system provides answers to queries and maintains the query history. However, ChatGPT does not recommend personalized learning content and cannot understand an individual's learning history and proficiency. By contrast, Squirrel Ai's LAM leverages learners' historical data, unique learning behaviors, and comprehensive assessments to offer tailored recommendations and detailed performance reports, paving the way for more effective and efficient learning journeys.

Sustained model iterations

Within the multi-modal adaptive engine, Squirrel Ai's R&D team introduced a new algorithm at this KDD conference—time series analysis. In their paper titled "Foundation Models for Time Series Analysis: A Tutorial and Survey," the team systematically discussed the application of large models in time series analysis.

Specifically, the paper examines the application of models in education, including their role in educational time-series data analysis. Time series analysis is increasingly being applied in educational scenarios, allowing for the prediction of student learning progress and the optimization of teaching strategies through the analysis of student behavior data, test scores, and learning habits. By pre-training on large-scale educational datasets, GenAI for time series analysis can better capture complex temporal dependencies and nonlinear relations, enabling optimized prediction and classification performance across multiple educational contexts. The paper also identifies several potential avenues for future research, such as leveraging multimodal data (text, images, speech) to further enhance model generalization capabilities and using self-supervised learning techniques to reduce reliance on labeled data. These endeavors not only help improve the accuracy and efficiency of time series analysis, but also provide a solid technological foundation for personalized and intelligent adaptive education.

Squirrel Ai's engagement with top scholars from around the world at the KDD conference reflects the company's comprehensive strengths spanning academia, research, and business. As the age of AI fully unfolds, we hope to see more Chinese companies participating in such top-tier summits.

AI is approaching the ideal educational scenario

The famous educator Vasily Sukhomlinsky once said, "Among the thousands of students who have passed through my hands, it is not the model students who left the deepest impression, but the ones who were unique and different."

In the evolving landscape of AI-driven education, one of the most promising developments is the realization of the long-held dream of "a tutor for every child." This ideal, once distant, is now within reach. At this stage, perhaps AI's greatest contribution to humanity lies not in the delivery of fragmented facts, but in its ability to unlock deeper learning. By the time students graduate, they will leave not just with knowledge and skills, but with a lifelong hunger for learning.

Squirrel Ai Upgrades its AI-Powered Adaptive Learning Model, Ushering in a New Era of Large Multimodal Models (LMMs)

At the recent showcase, Squirrel Ai introduced significant upgrades to its adaptive learning model, pushing the boundaries in AI-powered fault analysis, human-computer interactions, and educational testing and evaluation. The launch heralds a transformative phase for Large Multimodal Models (LMMs) in education technology, revolutionizing the AI-driven teaching experience.

The latest iteration of Squirrel Ai's LMM integrates intelligent capabilities for analyzing the nuances of draft papers, delivering unprecedented insights and providing detailed assessments of students' problem-solving approaches. With an impressive accuracy rate of over 90%, the model pinpoints errors in comprehension, logic, calculation, and handwritten transcription, allowing for rapid and accurate issue resolution that enhances teaching efficacy and learning outcomes.

The latest LMM also achieves remarkable advancements in AI-powered human-computer interaction. It accommodates both text and voice input, manages over 100 interactive dialogue scenarios, and possesses sophisticated emotion recognition capabilities. These features enable the model detect and respond to students' emotional states—be it confusion, excitement, or distraction—offering personalized feedback and encouragement that enhance the learning experience.

The latest LMM not only significantly boosts the efficiency and precision of routine assessments but also incorporates draft paper analysis techniques that have doubled the performance in chapter assessments compared to previous models. Notably, in subjective scoring, it accurately assigns grades and provides detailed feedback on deductions, assisting students in identifying precise areas for improvement.

Squirrel Ai Upgrades its AI-driven Adaptive Learning System with Three Enhanced Modules to Bolster Students' Holistic Development

In its latest update, Squirrel Ai has refined its adaptive learning system by adding three specialized modules aimed at pre-school education, science instruction, and the enhancement of interdisciplinary foundational skills. The comprehensive upgrade aims to deliver a more immersive and tailored educational experience for children, fostering growth across all facets of their academic journey.

The newly introduced preschool module combines insights from psychology and pedagogy with advanced AI technology to develop a captivating educational program that nurtures young minds. The science module, which emphasizes physics and chemistry, aims to sharpen students' abilities to observe, analyze, and solve problems, fostering a love for scientific exploration. Meanwhile, the interdisciplinary module focuses on breaking down traditional academic barriers by cultivating skills like logical thinking, creativity, and collaboration, enhancing students' comprehensive literacy.

The innovative advancements and enhancements reflect Squirrel Ai's profound commitment to exploring the frontiers of educational technology. By carefully segmenting the market and precisely targeting its offerings, Squirrel Ai effectively meets the diverse needs of various student groups, marking a notable progress in the broader application of educational technologies.

Squirrel Ai Introduces Three New AI Teachers, Forging a Robust AI-enabled Adaptive Learning Ecosystem

At the conference, Squirrel Ai unveiled three advanced AI-enabled teachers - S211, S139, and Z29. The AI educators are precision-matched to diverse learner needs and are empowered by Squirrel Ai's cutting-edge multimodal AI-driven LAM, designed to enrich every student's learning journey. Additionally, to create a more holistic and engaging audiovisual learning experience, Squirrel Ai has revamped its intelligent reading pens and headphones, reflecting a commitment to creating a dynamic and comprehensive adaptive learning environment.

The Squirrel Ai S211 leverages its proprietary digital paper technology to offer three distinct display modes: original color, colored ink, and water ink. Complemented by a high-definition (HD) camera, it captures learning nuances in real-time. The product not only stands at the forefront of hardware configuration within the industry, but also sets a new standard in user experience and user-friendly design.

The Squirrel Ai S139 is designed to deliver a cost-effective educational solution without compromising on quality. Equipped with a large HD display and superior sound quality, this model is integrated into Squirrel Ai's adaptive learning system, setting a new benchmark for value and performance in the industry.

To comprehensively advance AI-driven adaptive education, foster the digitization of education while delivering equal access to all learners, Squirrel Ai unveiled a new brand, Song Guo, to support the launch of the Z29. The new brand is dedicated to bringing top-notch AI teachers into thousands of households, offering an exceptional pedagogical experience at an accessible price. This move is part of Squirrel Ai's broader initiative to expand AI-driven adaptive education, ensuring that more children can benefit from these technological advancements.

Through these innovations, Squirrel Ai continues to lead the charge in educational technology, demonstrating the transformative potential of AI in shaping the future of learning. The company remains dedicated to enhancing its adaptive learning technologies and broadening the reach of its educational offerings, driven by a commitment to research, development, and the promotion of inclusive education.

Squirrel Ai, a frontrunner in China's educational AI sector, has nearly a decade of experience in merging AI with educational strategies. The company's adaptive learning system significantly improves students' learning outcomes, as proven by positive feedback from millions of students and hundreds of human-machine competitions, and is an exemplar of the efficacy of digital education and human-machine interaction..Squirrel Ai's adaptive system develops a micro-granularity knowledge map for each subject taught in primary and secondary education curriculums. The system dynamically assesses students' knowledge mastery, identifies areas for improvement within the knowledge map, and provides personalized content recommendations. Additionally, Squirrel Ai's adaptive system employs its proprietary MCM (Mode of Thinking, Capability and Methodology) model to aid students in developing critical thinking and learning skills across different subjects. By creating unique learning profiles and goals and designing tailored learning paths and feedback mechanisms, Squirrel Ai's adaptive system offers a truly personalized educational experience.

During the workshop, Squirrel Ai and participants explored the latest achievements and vast potential of LLMs in education. With the support of these models, the firm's adaptive education system can exhaustively analyze the causes of errors and guide multi-turn conversations in depth to deepen phased, heuristic learning. Furthermore, LLMs have also strengthened Squirrel Ai's system to provide better essay writing guidance, deliver customized learning reports, and provide emotional support, resulting in a more personalized AI-based learning companion that understands students better and further improves learning efficiency.

Squirrel Ai, a frontrunner in China's educational AI sector, played a crucial role in facilitating the symposium. Richard Tong, Chief Architect of Squirrel Ai and Chair of the IEEE AI Standards Committee, together with Dr. Joleen Liang, Co-Founder of Squirrel Ai, were in attendance and delivered insightful speeches. The year marked Squirrel Ai's fourth consecutive participation in the IJCAI, during which the firm shared its research findings and hosted in-depth seminars. Squirrel Ai's ongoing involvement underscores its extensive expertise and outstanding contributions to the field of AI in education.

Multimodal reasoning represents a burgeoning research area aimed at empowering AI systems to reason and learn from information acquired across various modalities. The IJCAI 2023 Symposium on Multimodal Reasoning with LLM delved into the diverse aspects of multimodal reasoning. Topics discussed included: the integration of multimodal learning systems, language models, and attention mechanisms; the evaluation of the efficacy of transfer learning and pre-training strategies in multimodal reasoning; and the examination of the impact of data augmentation techniques. A special emphasis was placed on the practical applications of multimodal reasoning and LLMs in the educational sphere. Both Richard Tong and Dr. Joleen Liang provided comprehensive insights into Squirrel Ai's significant progress and potential in transforming this technology into tangible educational outcomes.

For nearly a decade, Squirrel Ai has maintained its position as a leader in the field of educational AI technology. Recently, the firm attained a noteworthy achievement by pioneering the development of the world's first comprehensive Large Adaptive Model (LAM), marking a significant advancement in personalized learning services. Additionally, Squirrel Ai has collaborated with Prof.Ronghuai Huang from Beijing Normal University, Prof. Xiaoqing Gu from East China Normal University, and Prof. Bin Xu from Tsinghua University to form the IEEE Computer Society/Artificial Intelligence Standards Committee(C/AISC), chaired by Squirrel Ai's founder, Derek Li. The working group aims to advance the development of a standardized framework for educational AI in China by harnessing the collective power of the industry and integrating premier resources. Squirrel Ai's notable successes have not only inspired confidence and excitement among seminar attendees about the broad potential of LLM technology in education, but also imparted dynamic energy to this year's IJCAI from the educational AI community.

SEOUL, South Korea, March 25, 2024 /PRNewswire/ -- Dr. Joleen Liang, the co-founder of Squirrel Ai Learning, took the stage as a keynote speaker at the 6th AI Summit Seoul, a prestigious conference renowned for its focus on AI-driven innovation. During the summit, Dr. Liang showcased the company's innovative L5-level AI-powered Large Adaptive Model (LAM) technology, offering insights into the cutting-edge advancements in AI applications. Her discussions with other leading figures in the AI community explored the current and future state of AI technology, contributing significantly to the event's examination of technological innovation. The summit, held in Seoul, drew over 200 professionals and experts from academia, the corporate sector, and research institutions as well as executives from global tech giants such as Microsoft, Meta, Google, and NVIDIA, further highlighting the event's importance in the technology sector's calendar.

After a decade of relentless dedication to AI education, Squirrel Ai takes the lead in AI-driven LAM technology

With its forward-looking approach, Squirrel Ai has emerged as a pioneering force in China, spearheading the integration of AI adaptive technology into K12 education. The company has not only established itself as a leader in AI educational technology but also advanced market development. Over the past decade, Squirrel Ai has consistently invested in research and development, making technological innovation the cornerstone of its efforts. The company has established joint laboratories with Carnegie Mellon University (CMU) and the Institute of Automation of the Chinese Academy of Sciences (CAS), and partnered with the Stanford Research Institute (SRI) to undertake technology research projects, further cementing its position as a front-runner in the field of AI education.

Dr. Joleen Liang categorizes adaptive education into six levels, from L0 to L5, reflecting the progression of intelligence. While many in the industry remain at the L2 level, Squirrel Ai's sophisticated L5 adaptive learning system represents a significant breakthrough: it operates independently of human intervention, with AI entirely managing the learning process. Additionally, Squirrel Ai has led the way in merging adaptive technology with large-scale models and recently unveiled the world's first all-subject Large Adaptive Model (LAM), marking another significant leap in product performance.

The proactive development of the AI education ecosystem has led to a significant number of successful implementations

The primary advantage of adaptive education extends beyond personalizing learning experiences to embracing the philosophy of tailoring education to each student's unique strengths and interests. By effectively replicating the capabilities of top-tier educators, the approach not only addresses the challenges of teacher scarcity and uneven distribution found in traditional education, but also drives significant profitability for the AI-powered adaptive education model. To this end, Squirrel Ai has devised a product strategy that effortlessly merges software and hardware, targeting the mid- to high-end segment of the intelligent learning machine market. The integration of LAM technology allows for comprehensive online and offline reach, creating an innovative closed-loop business ecosystem that encompasses the trifecta of "engine, content, and service." Dr. Liang notes that Squirrel Ai has established 2,000 offline service centers for smart learning tablets in 2023, achieving cumulative sales of 200,000 learning tablets sets and a remarkable 300% business growth rate, solidifying its position as the leading AI learning machine brand in China by retail store footprint.

Frequently likened to Google, Yandex is a leading internet and technology titan in Russia. YAC/e, an annual world-renowned educational technology event hosted by Yandex, aims to forge a seamless connection between technology and education. This year's YAC/e conference centers on exploring how AI technology can improve the quality of learning, enrich student-teacher interactions, and unlock the boundless opportunities of AI in education. In her opening address, Dr. Liang underscored AI's potential to tackle challenges such as the uneven distribution of traditional educational resources, standardized teaching methods, and reliance on rote learning. Despite growing competition in AI education, Squirrel Ai has been at the forefront of innovation for nearly a decade. This year, the company attained a noteworthy achievement by pioneering the development of the globe's first comprehensive Large Adaptive Model (LAM) encompassing all subjects. Dr. Liang noted that that while many in the field are still at the L2 stage, Squirrel Ai has reached the L5 level, indicating a fully-developed adaptive learning system.

Dr. Liang also highlighted the framework of Squirrel Ai's LAM, comprising the application Layer, the model layer, and the data layer. The data layer leverages Squirrel Ai's innovative micro-granularity knowledge segmentation to create tailored knowledge maps and learning objectives for each student. The model layer, in turn, collects real-time data to dynamically update student profiles and accurately recommend targeted learning content that addresses their specific needs. Integrated with Squirrel Ai's proprietary MCM (Mode of Thinking, Capability and Methodology) model, this layer aims to cultivate students' thinking patterns, enhance their learning capabilities, and refine their learning strategies. The application layer fosters meaningful educational interactions through data exchange, enriching the learning experience. The comprehensive architecture offers a vast array of learning pathways and feedback mechanisms, embodying the essence of personalized teaching.

At the business model level, Squirrel Ai bridges the online and offline gap, adopting an innovative closed-loop business model that integrates software and hardware, covering the trifecta of "engine, content, and service." In 2023, Squirrel Ai achieved a remarkable milestone by establishing 2,000 offline intelligent learning centers and selling 200,000 learning machine sets, accelerating the adoption of AI-powered education in the process.

During the two-day symposium, participants discussed how AI can revolutionize teaching methods and reshape the education landscape. Squirrel Ai garnered significant attention for its cutting-edge technology and groundbreaking achievements. As a pioneer and industry leader in promoting AI in education, Squirrel Ai has been developing its technology for over 9 years. At the symposium, Dr. Joleen Liang showcased the latest technological breakthrough - the world's first all-subject Large Adaptive Model (LAM). This remarkable innovation seamlessly integrates adaptive technology with Large Model, leveraging the unique learning behaviors of 24 million students, totaling 10 billion learning behaviour data, to feed and fine-tune the model. Thanks to this extensive dataset, Squirrel Ai is able to accurately represent students' learning profiles and capture the intricate relationships between knowledge points, topics, and students' learning abilities. This enables the company to provide students with more precise and personalized learning solutions tailored to their unique needs and abilities.

Compared to conventional LLMs that rely on public data, Squirrel Ai's innovative LAM features a unique knowledge graph alongside an MCM (Mode of Thinking, Capability and Methodology) graph. This allows the model to tap into the individuality, strengths, and potential benefits unique to every student. During her presentation, Dr. Liang demonstrated the remarkable achievements of Squirrel Ai's personalized education approach through real-world student case studies. She shared her vision for expanding educational resources and ensuring their equitable distribution. Her aspiration is for this technological advancement to reach more children from low-income families, injecting more possibilities and hope into their futures.

As the sole Chinese education technology company invited to this seminar, Squirrel Ai showcased its core strengths in the global AI education industry and its positive impact on driving educational change and innovation. Looking ahead, Squirrel Ai plans to further expand its collaboration with domestic and international technology, education, and academic communities to shape the future of AI integration and personalized education. Additionally, the company will continue to focus on technological innovation and product development to offer students worldwide high-quality and efficient learning experiences and services.