Author Information
Passakorn Rueangrong, Naresuan University, ThailandKritika Sangkawadi, Naresuan University, Thailand
Ekkasit Tiamkaew, Naresuan University, Thailand
Abstract
The objectives of this research were: (1) to develop and evaluate the efficiency of online learning modules integrating Artificial Intelligence (AI) and the Active Learning Model for the course “Language and Digital Technology for Innovation Development” in the Bachelor of Education Program, Faculty of Education, Naresuan University; (2) to compare students’ learning achievement before and after using the AI-integrated online modules; and (3) to examine students’ satisfaction with learning through the developed modules. The research instruments included the online learning modules, learning achievement tests, and a student satisfaction questionnaire. The study followed the ADDIE Model (Analysis, Design, Development, Implementation, and Evaluation). Key findings revealed that: (1) the developed online learning modules achieved an efficiency level of 87.44/86.25, exceeding the established criteria of 80/80; (2) students’ post-test achievement scores were significantly higher than their pre-test scores at the .05 level of significance; and (3) student satisfaction with the learning experience was at a high level (x̄ = 4.16).
Paper Information
Conference: ACSS2025Stream: Education and Social Welfare
This paper is part of the ACSS2025 Conference Proceedings (View)
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To cite this article:
Rueangrong P., Sangkawadi K., & Tiamkaew E. (2025) The Development of Online Learning Modules Integrating Artificial Intelligence and Active Learning Models in the Language and Digital Technology for Innovation Development Courses ISSN: 2186-2303 – The Asian Conference on the Social Sciences 2025: Official Conference Proceedings (pp. 575-586) https://doi.org/10.22492/issn.2186-2303.2025.48
To link to this article: https://doi.org/10.22492/issn.2186-2303.2025.48
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