Modern Social Science Research

The “Three-Comprehensive Education” reform has reoriented ideological and political education in ancient literature courses toward implicit value cultivation—cultivating national sentiment, moral ethics, and cultural confidence through cultural resonance rather than explicit knowledge transmission. Yet implementation remains uneven across cognitive, emotional, practical, and subjective dimensions, particularly when course-based ideological education fails to connect with students’ lived experiences. This study posits that AI technology can mitigate this disconnection through three interlocking mechanisms: intelligent data mining that reveals students’ implicit value orientations, contextual modeling that elucidates the contemporary relevance of classical texts, and value extension that bridges textual interpretation with practical engagement. By facilitating dialogue between past and present, these approaches enable students to revitalize classical texts and cultivate spiritual depth through lived practice, thereby bridging the gap between course-based and life-oriented ideological education.

Technologically mediated context; Ancient Chinese literature; Ideological-pedagogical integration; Unity of knowledge and practice