Digital Education Assessment Model Based on Big Data and Its Application Under E-education

DOI

10.2991/978-94-6463-230-9_115How to use a DOI?

Keywords

Smart Teaching; Educational leadership; Bayesian neural networks; Education Assessment; E-education

Abstract

Currently, our educational philosophy emphasizes the holistic development of e-learning and the promotion of educational informatization, the corresponding evaluation model has been improved from a result-based evaluation that only looks at scores and promotion rates to a process-based evaluation that values experience, participation, and thinking development. Online learning intellectual quality assessment is based on psychological and behavioral information about students’ online learning to judge the learning process. The difficulty lies in the fact that there are many factors involved and there are multiple causal relationships between each factor. To address this challenge, this article proposes a process evaluation model for online learning quality using Bayesian neural networks (BNN) with coupling processing ability. The model is visualized using GeNIe software, and sensitivity analysis is performed to determine the ranking of sensitive factors that affect the quality of the online learning process. These results can assist teachers in gaining a better understanding of their students’ physical and mental states, as well as their mastery of knowledge and skills during online learning. Additionally, the results can provide a foundation for educational leadership and personalized guidance.

Copyright

© 2023 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  - Tingzhang Yang
AU  - Tao Yang
AU  - Xinyi Xie
PY  - 2023
DA  - 2023/09/04
TI  - Digital Education Assessment Model Based on Big Data and Its Application Under E-education
BT  - Proceedings of the 3rd International Conference on Internet, Education and Information Technology (IEIT 2023)
PB  - Atlantis Press
SP  - 954
EP  - 963
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-230-9_115
DO  - 10.2991/978-94-6463-230-9_115
ID  - Yang2023
ER  -