The Design and Practice of Data-Driven Teaching Evaluation Model in Colleges and Universities

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Abstract

With the rapid development of information technology in the 21st century, we have entered the era of big data. Based on information technology and big data, there are new teaching concepts, teaching models and teaching methods. In the last two years of teaching, we have tried to design and practice a data-driven college teaching evaluation model. Build an intelligent auxiliary teaching platform to provide teachers, students and teaching management personnel with intelligent assistance; take the “diversification-value process-testing ability” as the guiding ideology to carry out curriculum assessment reform, stimulate students’ enthusiasm for learning, and promote students’ all-round development; On the basis of constructing the classroom teaching index system and collecting a large amount of course data, the paper constructs a data-driven classroom teaching evaluation model: establishing a curriculum real-time evaluation teaching goal, constructing a classroom evaluation index system, and designing data-driven classroom teaching.

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APA

Sun, L. Y. (2019). The Design and Practice of Data-Driven Teaching Evaluation Model in Colleges and Universities. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11354 LNCS, pp. 580–590). Springer Verlag. https://doi.org/10.1007/978-3-030-15127-0_58

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