TITLE:
Research on the Through-Integrated Teaching Evaluation Model in Higher Education in the AI Era
AUTHORS:
Miaomiao Yang, Bin Li, Xiaoli Wang, Jingming Wang, Qian Sun, Xuemei Zhang
KEYWORDS:
Teaching Evaluation Model, Through-Integrated, AI-Empowered, Teaching Reform
JOURNAL NAME:
Creative Education,
Vol.17 No.11,
November
10,
2026
ABSTRACT: This study investigates the through-integrated teaching evaluation model in higher education in the era of artificial intelligence. We propose an AI-empowered, through-integrated evaluation model that places students’ learning outcomes at the core of assessment. Built on an architecture of “vertical continuity and horizontal integration”, the model integrates multiple dimensions—students, learning, and institutions—and employs an “multi-source and multi-faceted” approach to strengthen process evaluation, explore value-added evaluation, and improve comprehensive evaluation. The proposed model offers a conceptual foundation for enhancing teaching quality, improving evaluation objectivity, and fostering lifelong learning habits. This study establishes a theoretical framework for AI-empowered through-integrated evaluation.