Abstract
Teaching quality is the main indicator for evaluating teaching level. But it is affected by a number of contributing variables. To address existing issues in teaching quality evaluation and boost the accuracy of teaching quality evaluation, a data mining-based teaching quality assessment model is developed. To begin, this model investigates and analyzes the relevant literature on the present evaluation of teaching quality, generate evaluation indicators of factors affecting teaching quality, and gathers data on teaching quality influencing factors. And creates research samples for evaluating teaching quality at schools of higher education as well as determines the grade of educational effectiveness through specialists. And applies data mining technology to train study samples, forming the model of university teaching quality assessment. Analyzes the superiority of the college and university teaching quality model using real instances. The results reveal that data mining can represent the disparities in quality of instruction grades in universities and produce high accuracy quality of instruction assessment results.
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Funding
1. 2019 Jiangxi Provincial Department of Education Science and Technology Project: Research on systemic risk identification and countermeasures of industry-university-research cooperation projects (Project number: GJJ191199)
2. 2020 Jiangxi Provincial Culture and Art Science Planning Project: Research on policy paths for Jiangxi cultural enterprises to solve difficulties under the new crown epidemic (Project number: YG2020154)
3. 2020 Jiangxi Provincial Department of Education Teaching Reform Project: The strategy research and practice of integrating socialist core values into the whole process of accounting professional teaching (Project number: JXJG-20–29-3).
4. General project of school level teaching reform project of Jiangxi college of application science and technology in 2019: Research on the curriculum construction of comprehensive simulation training of accounting under the background of “Shuangwan plan" (Project number: JXYKJG-19–21).
5. 2020 Jiangxi college of application science and technology-level Humanities and Social Sciences General Project: Application Research on Fuzzy Risk Calculation of Industry-University-Research Cooperation Project Based on FMEA (Project number: JXYKRW-20–1).
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© 2023 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Tang, Y. (2023). Mobile Teaching Quality Evaluation Model of Industry-University-Research Education Based on Data Mining. In: Fu, W., Yun, L. (eds) Advanced Hybrid Information Processing. ADHIP 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 469. Springer, Cham. https://doi.org/10.1007/978-3-031-28867-8_23
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DOI: https://doi.org/10.1007/978-3-031-28867-8_23
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