Proceedings of the 2026 6th International Conference on Education, Information Management and Service Science (EIMSS 2026)

2026 6th International Conference on Education, Information Management and Service Science (EIMSS 2026)

📍Kuala Lumpur, Malaysia🗓️ 3-5 July 2026
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Curriculum-Embedded Customized AI Support and Learning Outcomes in University Ideological and Political Theory Courses: Evidence from an 8-Week Quasi-Experiment

Authors
Fang Zhang1, Yaxin Xiao2, Letong Gao2, Li Yan2, Yong Liang1, *
1Department of Education, Beijing City University, Beijing, 100039, China
2School of Educational Science, Chengdu Normal University, Chengdu, 611130, China
*Corresponding author. Email: 78464980@qq.com
Corresponding Author
Yong Liang
Available Online 4 September 2026.
DOI
10.2991/978-94-6239-766-8_15How to use a DOI?
Keywords
generative artificial intelligence; customized AI teaching assistant; ideological and political theory course; learning engagement; course value recognition
Abstract

Generative artificial intelligence is increasingly used in higher education, but its value may depend on whether it is embedded in course-specific pedagogy. This study examined three instructional support modes in a university ideological and political theory course. We initially recruited 163 students from three intact parallel classes; after listwise deletion, the final analytic sample included 150 students assigned to traditional teaching, traditional teaching plus general-purpose AI support, or traditional teaching plus a curriculum-embedded customized AI teaching assistant. After pretest scores were controlled, the customized AI condition showed significantly higher knowledge mastery, learning engagement, and course value recognition than both comparison conditions. The findings suggest that GenAI is more educationally useful when anchored in course resources and structured learning tasks than when used as an unrestricted general-purpose tool.

Copyright
© 2026 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 2026 6th International Conference on Education, Information Management and Service Science (EIMSS 2026)
Series
Atlantis Highlights in Computer Sciences
Publication Date
4 September 2026
ISBN
978-94-6239-766-8
ISSN
2589-4900
DOI
10.2991/978-94-6239-766-8_15How to use a DOI?
Copyright
© 2026 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  - Fang Zhang
AU  - Yaxin Xiao
AU  - Letong Gao
AU  - Li Yan
AU  - Yong Liang
PY  - 2026
DA  - 2026/09/04
TI  - Curriculum-Embedded Customized AI Support and Learning Outcomes in University Ideological and Political Theory Courses: Evidence from an 8-Week Quasi-Experiment
BT  - Proceedings of the 2026 6th International Conference on Education, Information Management and Service Science  (EIMSS 2026)
PB  - Atlantis Press
SP  - 152
EP  - 161
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6239-766-8_15
DO  - 10.2991/978-94-6239-766-8_15
ID  - Zhang2026
ER  -