Course Quality Evaluation and Continuous Improvement Method Based on Causal Inference

DOI

10.2991/978-94-6463-568-3_23How to use a DOI?

Keywords

Course quality; course objectives; causal inference; structural causal model; engineering education professional accreditation

Abstract

Courses are crucial carriers for achieving talent training goals of higher education universities. Current evaluations of courses quality often rely on intuition rather than scientific methods, leading to less reliable results and hindering continuous improvement. To address this, we propose a causal inference-based evaluation method. First, a structural causal model for course quality evaluation is constructed based on causal inference theory. Then, taking ‘Electromechanics (Part 1)’, an important foundational course in the major of Electrical Engineering and Automation, as an example, a structural causal model for the course quality evaluation system is constructed. The do-operator is introduced to determine the average causal effect of various instructional intervention measures, such as course assignments, chapter tests, and final exams on the course objectives. Finally, by analyzing the differences in the average causal effects of these interventions on the course objectives over two academic years, the causes of these differences are identified, which will be used for the continuous improvement of the course in the following academic year. Although initially applied in electrical engineering, this method is adaptable to other disciplines.

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  - Yi Kuang
AU  - Bingying Xie
AU  - Bin Duan
AU  - Lijiao Gong
PY  - 2024
DA  - 2024/11/27
TI  - Course Quality Evaluation and Continuous Improvement Method Based on Causal Inference
BT  - Proceedings of the 2024 5th International Conference on Modern Education and Information Management (ICMEIM 2024)
PB  - Atlantis Press
SP  - 163
EP  - 170
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-568-3_23
DO  - 10.2991/978-94-6463-568-3_23
ID  - Kuang2024
ER  -