Qin Xin, a parent, has faced disappointment with various educational devices purchased for her child in the past. Each new product initially sparked enthusiasm but eventually resulted in disinterest due to misaligned resources and impractical courses. However, a recent improvement in her child’s exam scores after using an AI learning machine at a neighbor’s house has prompted her to consider buying one.
The educational tablet market has seen significant growth, with shipments in China rising to 4.721 million units in 2023, an 8.1% increase year-over-year. This increase in demand can be attributed to pandemic-induced changes in educational scenarios and the „double reduction“ policy. Learning devices have become the most popular educational hardware, chosen by nearly 70% of parents.
In Europe and America, AI teaching tools are typically provided online, while in China, parents prefer hardware solutions that do not rely heavily on the internet. Advancements in large AI models since 2023 have vastly improved these products, with established firms like BBK Electronics and Readboy, as well as education companies like TAL Education and NetEase Youdao, leading the market. Market competition is intense, with the top four brands holding a 49.8% market share in the first quarter of 2024.
AI is reducing the time students spend on repetitive tasks, although its full potential is yet to be fully realized. The „Double Reduction“ policy and home-based learning during the COVID-19 pandemic have led to a revival in the learning tablet market, with shipments nearing 4 million units from Q4 2021 to Q2 2022. Large AI models like OpenAI’s ChatGPT have introduced new industry development opportunities.
Educational applications of AI differ between Western and Chinese companies, with Chinese firms often developing vertical models to address local needs. Companies are leveraging model distillation and other techniques to implement these models in educational hardware. Teachers and education experts play a crucial role in designing successful educational products, despite the growing capabilities of machines.
AI learning devices now feature advanced functionalities supported by machine learning, natural language processing, and other technologies, enabling personalized learning. While current AI abilities in devices still fall short of real teachers, they are improving rapidly. Large model applications in education aim to address key issues using specialized models tailored to educational needs.
Companies face challenges like high costs for training and inference, limiting rapid development in large models. The synergy between production and model application is crucial for iterative improvements. The market’s competitive landscape increases operational costs but also allows for long-term gains by potentially reducing the need for multiple models to support various functionalities.
Current AI technologies mainly enhance knowledge acquisition and problem-solving but are yet to fundamentally redefine educational philosophy. Progressive educational reforms, such as „large unit teaching,“ emphasize holistic understanding and real-life application of knowledge. Practical applications of AI, like reducing repetitive tasks and fostering independent learning, are gradually reshaping classroom roles.
The government’s „Education Informatization 2.0 Action Plan“ aims to leverage technology to promote educational equity and quality, transcending traditional geographical limitations. Despite significant strides in AI integration in education, its primary role remains an assistant rather than a replacement for teachers, highlighting ongoing efforts to balance technological advancements with educational equity and holistic student development.