The Intelligent Guided Learning System combines artificial intelligence and education in a powerful way, allowing each to improve the other. It provides an effective solution for large-scale personalized learning by accurately reducing students’ workload while increasing their learning efficiency. This system plays a vital role in driving the digital transformation and intelligent modernization of education.

Focusing on the three core parts of the learning process—context, learner, and service—the research covers: seamless sensing and smart recognition of learning environments; cognitive tracking and analysis of learners; and dynamic customization and precise adaptation of learning services. The aim is to create a technical framework where learning situations can be computed, learners are deeply understood, and learning services are fully adaptable. This framework supports the development of the intelligent guided learning system and allows for thorough testing of its practical effectiveness.

Key Technologies and Achievements:

Intelligent Perception Technology: 2 authorized domestic invention patents, 2 patents pending, and 2 SCI journal articles published.

Deep Cognitive Tracking Technology: 3 authorized domestic invention patents, 2 patents pending, 3 SCI journal articles, and 1 CCF T1-level paper published.

Intelligent Recommendation Technology: 2 patents pending and 3 SCI journal articles published.