Reform and Practice of the Assessment Method of “Big Data Analysis” Course for Competence Cultivation

DOI

10.2991/978-94-6463-238-5_108How to use a DOI?

Keywords

big data analysis; competency development; course assessment; relevance analysis

Abstract

Aiming at the problems of traditional course assessment methods, such as single method and not effectively reflecting the quality of the learning process and the level of competence cultivation, a two-factor multi-dimensional course assessment index system is explored and established, and a one-to-one graded daily evaluation model adapted to small class teaching is proposed, and then the two are combined and practiced throughout the whole process of students’ course learning. Using correlation analysis techniques to analyze the practice results, the results show the effectiveness of the course assessment method, and have some significance for the assessment of other courses.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Yaoyi Xi
AU  - Yufei Chen
AU  - Zhihui Yue
AU  - Bo Wang
AU  - Yu Nan
PY  - 2023
DA  - 2023/09/26
TI  - Reform and Practice of the Assessment Method of “Big Data Analysis” Course for Competence Cultivation
BT  - Proceedings of the 2023 4th International Conference on Big Data and Informatization Education (ICBDIE 2023)
PB  - Atlantis Press
SP  - 836
EP  - 847
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-238-5_108
DO  - 10.2991/978-94-6463-238-5_108
ID  - Xi2023
ER  -