Proceedings of the 2024 SSEME workshop on Social Sciences and Education (SSEME-SSE 2024)

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On Deeper Learning Evaluation Model for College Students Based on SOLO Taxonomy

Authors
Li Qian1, Fanglin Chen1, Ningjiang Chen1, *
1School of Computer and Electronic Information, Guangxi University, Nanning, 530004, Guangxi, China
*Corresponding author. Email: chnj@gxu.edu.cn
Corresponding Author
Ningjiang Chen
Available Online 28 September 2024.
DOI
10.2991/978-2-38476-289-7_5How to use a DOI?
Keywords
SOLO taxonomy; College students; Deeper learning evaluation model
Abstract

With the development of information technology and education concepts, shallow learning in the traditional classroom can no longer meet the social demand for high-quality talents. Deeper learning emphasises learners’ thinking ability and knowledge transfer, and plays a key role in problem solving. However, the existing research mainly focuses on technical support and disciplinary application. Empirical research and evaluation system construction of deeper learning is slightly insufficient. This results in a vague awareness of the evaluation of deeper learning in the whole teaching system. The SOLO taxonomy is characterized by its ability to measure student understanding and evaluate performance. It can be applied to the evaluation of deeper learning. This paper combines the theory to construct a deeper learning assessment tool and revise the scoring criteria through the Delphi method to make it more suitable for the characteristics of deeper learning of college students. Empirical research and experimental validation of the deeper learning evaluation model were carried out by preparing questionnaires and analysing online classroom cases. The results showed that the accuracy of the evaluation was more than 93 per cent.

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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Volume Title
Proceedings of the 2024 SSEME workshop on Social Sciences and Education (SSEME-SSE 2024)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
28 September 2024
ISBN
978-2-38476-289-7
ISSN
2352-5398
DOI
10.2991/978-2-38476-289-7_5How to use a DOI?
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.

Cite this article

risenwbib
TY  - CONF
AU  - Li Qian
AU  - Fanglin Chen
AU  - Ningjiang Chen
PY  - 2024
DA  - 2024/09/28
TI  - On Deeper Learning Evaluation Model for College Students Based on SOLO Taxonomy
BT  - Proceedings of the 2024 SSEME workshop on Social Sciences and Education (SSEME-SSE 2024)
PB  - Atlantis Press
SP  - 28
EP  - 39
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-289-7_5
DO  - 10.2991/978-2-38476-289-7_5
ID  - Qian2024
ER  -