Abstract
At present, the research on the design of teaching evaluation indicators for computer majors is still relatively weak. It is of great significance to establish a scientific, normative and operational evaluation system. The construction of evaluation indicators is the most important part of the teaching quality evaluation of computer majors, and it is also the most difficult part to solve. The purpose of this paper is to study the teaching evaluation system of computer majors in colleges and universities based on educational informatization, mainly including the design of evaluation indicators. First, select the online and offline blended teaching of computer major courses for evaluation, and then collect the original data of evaluation, use big data technology to process and analyze the original data and organize the evaluation results, so as to reflect the students’ learning situation more intuitively and accurately, and improve teaching and learning. And learning efficiency. The experimental results show that the surveyors agree with each indicator very well, and the degree of recognition of the learning effect obtained by the achievement index is 84.5%.
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17 May 2023
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Acknowledgments
This work was supported by 2021 Educational Science Planning Project of Guangdong Province (Special Project for Higher Education) ‘‘Research on the Design and Application of Hybrid Teaching Mode Based on Deep Learning in the Context of Big Data’’ (Project No: 2021GXJK493) from Guangzhou Nanyang Polytechnic College; Research Planning Project of Guangdong Vocational and Technical Education Association 2021–2022 Annual Project--Research on the Design and Application of Smart Classroom Teaching Mode under the Background of ‘‘Internet+ Vocational Education’’ (Project No: 202103G122) from Guangzhou Nanyang Polytechnic College; “Exploration Research on the Training Path of Applied Talents in Higher Vocational Computer Professionals from the Perspective of Integration of Production and Education” (Project No: NY-2021CQ-JGYB006); “Big Data and Intelligent Computing Innovation Research Team” (Project No: NY-2019CQTD-02) from Guangzhou Nan yang Polytechnic College; 2020 Guangdong Province Educational Science Project: Exploration and Practice of the Developmental Evaluation System for Teachers in Private Higher Vocational Colleges Based on Big Data (Project No: 2020GXJK532).
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Wang, R., He, F., Yang, W., Kumar, M.K. (2023). Design and Research of Teaching Evaluation System Based on Big Data Technology. In: Abawajy, J.H., Xu, Z., Atiquzzaman, M., Zhang, X. (eds) Tenth International Conference on Applications and Techniques in Cyber Intelligence (ICATCI 2022). ICATCI 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 170. Springer, Cham. https://doi.org/10.1007/978-3-031-29097-8_112
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