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Digitalization of Ideological and Political Teachers in Colleges and Universities: The Path and Evaluation Model of Improving Teaching Ability
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Author(s): Junyu Shan (School of Marxism, NanJing XiaoZhuang University, China)and Mingmin Li (School of Management, Henan Institute of Economics and Trade, China)
Copyright: 2026
Volume: 18
Issue: 1
Pages: 19
Source title:
International Journal of Mobile and Blended Learning (IJMBL)
Editor(s)-in-Chief: David Parsons (The Mind Lab by Unitec, New Zealand)and Kathryn Mac Callum (University of Canterbury, Christchurch, New Zealand)
DOI: 10.4018/IJMBL.408632
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Abstract
The digital teaching ability of ideological and political teachers in colleges and universities is the key to educational reform, but the promotion path is divided and out of touch with rationality and practice. Combining questionnaires, logs, and interviews, this paper constructs and verifies a closed-loop promotion path and dynamic evaluation model. The study found that optimization tool integration and feedback mechanisms can promote multi-dimensional capability collaboration, but there are still shortcomings in platform application, interdisciplinary collaboration, and feedback closed loop. Some teachers take the initiative to make suggestions and promote teaching innovation. Dynamic analysis reveals stages and individual differences in capability development, emphasizing data-driven and continuous iteration. This model combines top-level design and front-line experience to provide practical reference for teacher construction. In the future, it is necessary to deepen the research on intelligent analysis, process data tracking, and teachers' independent adjustment mechanism.
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