Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Digitalization of Ideological and Political Teachers in Colleges and Universities

The Path and Evaluation Model of Improving Teaching Ability

Bibliographic Data

ID22430375
AuthorsJunyu Shan (Nanjing Xiaozhuang University), 善军 于 (Nanjing Xiaozhuang University), Moran Li (0000-0002-6406-1983, Institute of Finance and Trade Economics), Mingmin Li (0009-0007-7799-8760, Henan Institute of Economics and Trade)
Year2026
Volume18
Issue1
Pages1-19
Publication date2026-04-28
Open AccessYes
TypeARTICLE
VenueInternational Journal of Mobile and Blended Learning (JOURNAL)
Journal identifiersISSN: 1941-8647 • E-ISSN: 1941-8655
PublisherIGI Global Scientific Publishing (PUBLISHER)
DOI10.4018/ijmbl.408632
OpenAlexW7158768378
LanguageEN

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.

Ideology · Politics · Rationality · Advanced Technologies and Applied Computing · Educational Technology and Pedagogy · Ideological and Political Education

Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae