International Journal of New Developments in Education, 2026, 8(3); doi: 10.25236/IJNDE.2026.080307.
Liyun Zhu1, Yu Deng1, Liying Zhu2, Shi Yin3, Jie Wang1, Weifang Zhong4
1College of Economics and Management, Hebei Agricultural University, Baoding, Hebei, 071000, China
2College of Agronomy, Hebei Agricultural University, Baoding, Hebei, 071000, China
3College of Humanities and Social Sciences, Hebei Agricultural University, Baoding, Hebei, 071000, China
4College of Ocean, Hebei Agricultural University, Qinhuangdao, Hebei, 066003, China
With the rapid development of big data and information technology, generative artificial intelligence (GAI) is increasingly being used in the field of education, bringing changes to traditional teaching models. This paper focuses on the course "Management Forecasting and Decision-making Technology", and based on the online data accumulated on the Xuexitong, such as course video viewing behavior, chapter quiz scores, number of learning sessions, and attendance records, it uses GAI tools to empower learning analysis, deeply analyzes online learning behavior, multidimensionally evaluates learning outcomes, accurately identifies common learning obstacles and personalized learning needs, and thus provides scientific feedback and important evidence for optimizing teaching design, intelligently planning learning paths, effectively providing personalized guidance, and continuously improving teaching quality.
Artificial intelligence, Learning situation analysis, Learning paths
Liyun Zhu, Yu Deng, Liying Zhu, Shi Yin, Jie Wang, Weifang Zhong. Research on Teaching Improvement Paths Based on GAI-Enabled Learning Analytics. International Journal of New Developments in Education (2026), Vol. 8, Issue 3: 47-52. https://doi.org/10.25236/IJNDE.2026.080307.
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