The 2025 Global Digital Economy Conference, jointly organized by the People's Government of Beijing Municipality, the Cyberspace Administration of China, the National Data Bureau, Xinhua News Agency, and the United Nations Development Programme, was recently held in Beijing. The theme of this conference was "Building Digital-Friendly Cities," with a focus on emerging fields such as artificial intelligence and digital security, featuring 46 thematic forums.

During the conference, TAL's "MathGPT AI Learning" AI Personalized Learning System was selected as a "Typical Case of Artificial Intelligence + Application Scenarios." Additionally, the project titled "Key Technologies and Applications for Intelligent Evaluation and Multi-Level Precise Guided Learning Assisted by Large Language Models," jointly submitted by TAL and the Guangdong Smart Education Research Institute of Jinan University, was recognized as a "Typical Case of High-Quality Industry Data Sets in Beijing."

"MathGPT AI Learning" Selected as a Typical Case of "Artificial Intelligence+Application Scenarios"

On July 2, the "2025 Industrial Internet Innovation and Development Forum" was held at the Zhongguancun Exhibition Center. During the forum, the typical cases of "Artificial Intelligence + Application Scenarios" were officially released. In metrics of innovation and effectiveness, TAL's "MathGPT AI Learning" became a typical practice case in educational technology and successfully made the list.

"MathGPT AI Learning" is a high school multi-scene AI personalized learning system combining large and small screens. It deeply integrates artificial intelligence into education and teaching scenarios through core functionalities such as AI grading, automated erroneous question aggregation, analogy learning, intelligent retraining, AI intelligent Q&A, AI intelligent planning, targeted improvement, and adaptive exercises. It assists students in achieving efficient and precise practice and helps teachers implement data-driven precision teaching.

MathGPT AI Learning Selected as a Typical Case of "Artificial Intelligence + Application Scenarios"

TAL × Jinan University Project Recognized as a Typical Case of High-Quality Industry Data Sets in Beijing

On July 4, the "Data Elements Development Forum," the main forum of the conference, was held at the National Conference Center. During the forum, Beijing's high-quality industry data sets were officially unveiled, and the "Key Technologies and Applications for Intelligent Evaluation and Multi-Level Precise Guided Learning Assisted by Large Language Models," co-submitted by TAL and the Guangdong Smart Education Research Institute of Jinan University, was successfully recognized.

The project delves into the potential of big data, large language models, and related AI technologies in smart education. By tackling two core scientific issues—teaching scenario awareness for educators and precise service for learning subjects—it has developed a series of personalized learning technical capabilities and product applications. By blending multimodal large models with educational scenarios, the project employs real-time text, voice, and video generation to offer students solutions to queries, resolve challenges encountered in life and learning, and carve out new paths for after-school autonomous learning for elementary and secondary students.

Key Technologies and Applications for Intelligent Evaluation and Multi-Level Precise Guided Learning Assisted by Large Language Models" Recognized as a Typical Case of High-Quality Industry Data Sets in Beijing

As a builder of the National New Generation AI Open Innovation Platform for Smart Education, TAL has always prioritized investments in technological innovation and actively explored innovative practices that empower smart education through digital technology. In the future, TAL will continue to adhere to its corporate mission of "Empowering Lifelong Growth with Love and Technology," further exploring the path of "digital intelligence" transformation in education.