IDC Releases Report on AI-Powered Adaptive Education Industry, Revealing Opportunities and Future Trends of AI in Education

Associated Press

a day ago

SHANGHAI, July 2, 2025 /PRNewswire/ -- In March 2025, IDC (International Data Corporation) released the report 'AI-Powered Adaptive Education: Opportunities and Trends,' which provides a comprehensive analysis of the current trends, application scenarios, case studies, and industry insights in the AI education sector. The report showcases the immense potential of AI to disrupt traditional education models and empower the education industry, offering detailed references for educators, investors, and all parties interested in the development of the education sector.
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.
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SOURCE Squirrel Ai Learning