Chen, Jinxin and Zhang, Decheng (2024) Evaluating and Enhancing University Teachers' Smart Teaching Competencies: A Survey-Based Analysis. Asian Journal of Education and Social Studies, 50 (12). pp. 312-321. ISSN 2581-6268
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Abstract
The smart teaching competence of university teachers is key to improving teaching quality and efficiency during the digital transformation of education. Based on the industry standards of the Ministry of Education's "Teacher Digital Literacy," the survey questions are designed and formulated from five dimensions: understanding and attitude towards smart teaching, application of smart teaching environment, development of smart teaching resources, design and implementation of smart teaching, and evaluation of smart teaching. A questionnaire was conducted on Wen Juan Wang, 146 valid questionnaires were effectively collected. through an online survey platform, and 146 valid questionnaires were effectively collected. The analysis of the survey data shows that university teachers can correctly understand the concept and role of smart teaching, design and implement smart teaching based on the school's talent cultivation goals, course characteristics, and smart teaching environment, and have certain capabilities in developing smart teaching resources and collecting and analyzing data. Some teachers also have relatively low capabilities in smart teaching concepts and teaching design, operation and use of smart environments, development of smart teaching resources, and data collection and analysis. In response to these issues, the following suggestions are proposed: strengthen the construction of smart teaching environments, formulate policies to establish incentives for smart teaching, strengthen training in teachers' smart teaching competencies, and enhance inter-school and school-enterprise cooperation to build and share smart teaching resources.
Item Type: | Article |
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Subjects: | Digital Academic Press > Social Sciences and Humanities |
Depositing User: | Unnamed user with email support@digiacademicpress.org |
Date Deposited: | 07 Jan 2025 11:26 |
Last Modified: | 01 Apr 2025 12:44 |
URI: | http://core.ms4sub.com/id/eprint/1877 |