Exploration and practice of data-driven student evaluation incorporating information technology

DOI

10.2991/978-94-6463-417-4_16How to use a DOI?

Keywords

Information technology; Learning data; Process assessment; Modeling

Abstract

With the continuous development of emerging technologies such as the Internet and big data, it is a trend for universities to use information technology for teaching. Blended learning relies on the advantages of the Internet and combines various types of data from the big data era with face-to-face offline teaching, which can effectively collect various types of data during students’ learning process. By collecting, processing, and analyzing this data, it is possible to timely and effectively track students’ learning progress. In this paper, information technology is introduced into various stages of pre-class, in-class, and post-class in blended learning practice. It records, collects, and analyzes students’ learning and testing data from different platforms such as Youmuke Education Platform, Yuketang, and Microsoft Forms. These diverse data are integrated and utilized, and process-based assessment methods based on students’ learning data are adopted. SPSS is used to analyze students’ performance in different projects, and a model for analyzing students’ exam scores is established based on data, predicting and warning students’ final exam scores. By analyzing students’ performance in various aspects during the learning process, a comprehensive understanding of students’ learning situations is achieved, and targeted measures are taken to improve the quality of teaching.

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  - Wenjing Li
AU  - Nan Wen
AU  - Jie Wang
AU  - Xiao Li
PY  - 2024
DA  - 2024/05/07
TI  - Exploration and practice of data-driven student evaluation incorporating information technology
BT  - Proceedings of the 2024 5th International Conference on Big Data and Informatization Education (ICBDIE 2024)
PB  - Atlantis Press
SP  - 176
EP  - 186
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-417-4_16
DO  - 10.2991/978-94-6463-417-4_16
ID  - Li2024
ER  -