T/JXEA 068-2025 General Requirements for AI-Assisted Teaching by Full-Time College Teachers

Scope

AI-assisted teaching features data-driven analysis, intelligent diagnosis, precise intervention, and resource optimization, and can be widely applied to course design, classroom interaction, learning analysis, teaching evaluation, and teaching management. However, current university teachers still face issues such as insufficient understanding of AI technology, inadequate integration of teaching methods, irregular data application, and imperfect evaluation systems for teaching effectiveness, which hinder the effective application and promotion of AI technology in teaching. To promote the scientific, standardized, and efficient use of AI technology in teaching by full-time teachers in universities and improve teaching quality and student development, this document is formulated. This document specifies the requirements for the entire process of AI-assisted teaching, covering teaching preparation, teaching implementation, teaching evaluation, quality assurance, and data management, and is applicable to full-time teachers, teaching management personnel, educational technology support staff, and relevant research institutions in all types of higher education institutions.

Development Information

Related Standards