Proceedings of the 2025 3rd International Conference on Language, Innovative Education and Cultural Communication (CLEC 2025)

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The Role of Big Data Analysis in Enhancing Educational Evaluation and Feedback Systems

Authors
Huanqing Zou1, *
1School of Information Science and Engineering, NingboTech University, Ningbo, 315100, China
*Corresponding author. Email: hqzou@nbt.edu.cn
Corresponding Author
Huanqing Zou
Available Online 22 June 2025.
DOI
10.2991/978-2-38476-430-3_29How to use a DOI?
Keywords
Big Data Analysis; Educational Assessment; Personalized Feedback; Data Analysis; Learning Behavior
Abstract

With the rapid development of information technology, traditional educational evaluation and feedback systems face many challenges, especially in terms of personalized and real-time feedback. This paper proposes a feedback optimization algorithm based on big data analysis, which aims to improve the learning performance of students, participation and learning depth by dynamically adjusting the feedback content. This paper conducts a series of experiments on an online learning platform, and compares the learning performance of the experimental group (using the algorithm in this paper) and the control group (using the traditional fixed feedback method). The experimental results show that the experimental group using the feedback optimization algorithm based on big data analysis has a significantly higher improvement in the mid-term and final exams than the control group, and the learning performance of students, learning time and homework submission frequency have also increased significantly. In experimental group, learning depth score and feedback quality score of students were significantly better than those in control group, which showed that personalized feedback could better meet their learning needs. In addition, the comparison results between the algorithm in this paper and other existing feedback algorithms show that the algorithm in this paper has obvious advantages in improving the grades, feedback stability and participation of students.

Copyright
© 2025 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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Volume Title
Proceedings of the 2025 3rd International Conference on Language, Innovative Education and Cultural Communication (CLEC 2025)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
22 June 2025
ISBN
978-2-38476-430-3
ISSN
2352-5398
DOI
10.2991/978-2-38476-430-3_29How to use a DOI?
Copyright
© 2025 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.

Cite this article

risenwbib
TY  - CONF
AU  - Huanqing Zou
PY  - 2025
DA  - 2025/06/22
TI  - The Role of Big Data Analysis in Enhancing Educational Evaluation and Feedback Systems
BT  - Proceedings of the  2025 3rd International Conference on Language, Innovative Education and Cultural Communication (CLEC 2025)
PB  - Atlantis Press
SP  - 235
EP  - 243
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-430-3_29
DO  - 10.2991/978-2-38476-430-3_29
ID  - Zou2025
ER  -