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Design and Implementation of Teaching Assessment System in Higher Vocational Colleges Based on Association Rule Algorithm

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Application of Big Data, Blockchain, and Internet of Things for Education Informatization (BigIoT-EDU 2022)

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Abstract

The systematic assessment of teachers’ classroom work is to adjust teachers’ behavior, improve classroom quality, and then manage them well. This paper expounds the problems existing in the assessment of Higher Vocational Colleges in China; Taking the teaching management of higher vocational colleges as the background and teaching assessment as the research object, this paper discusses the design and implementation method of teaching assessment system under the environment of data warehouse. This paper attempts to build a decision support system for teaching management in Universities under the environment of data warehouse, which can first promote the improvement of teachers’ personal teaching level, and then improve the overall teaching quality of the school. This paper discusses the design and implementation of teaching assessment system in Higher Vocational Colleges Based on association rule algorithm. In connection with the present condition and development requirements of assessment, and further combine their own situation, design a practical teaching assessment system with the participation of students, teachers, supervisors, educational administration managers, branch (workstation) teaching managers and experts, which can comprehensively and objectively evaluate the teaching situation of teachers, So as to promote the improvement of teaching quality.

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Correspondence to Yunhua Liu .

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Liu, Y. (2023). Design and Implementation of Teaching Assessment System in Higher Vocational Colleges Based on Association Rule Algorithm. In: Jan, M.A., Khan, F. (eds) Application of Big Data, Blockchain, and Internet of Things for Education Informatization. BigIoT-EDU 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 465. Springer, Cham. https://doi.org/10.1007/978-3-031-23950-2_20

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  • DOI: https://doi.org/10.1007/978-3-031-23950-2_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-23949-6

  • Online ISBN: 978-3-031-23950-2

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