Next-Gen Learning Pathways: Outcome-Based Curriculum Design in Thai Higher Education with Microsoft Copilot

This study presents a strategic framework to enhance academic performance in STEM disciplines, using personalized, outcome-based curriculum design for second-year Information Technology students in Bangkok, Thailand. Addressing the limitations of traditional curricula, a course recommendation system was developed using student profiles, course metadata, and intended learning outcomes aligned with the Thai Qualifications Framework (TQF). Integrated with Microsoft Copilot, the system supports personalized academic planning and data-driven decision-making. A pilot with 278 students showed that $85 \%$ improved their performance, with an average grade increase of $8 \%$, and over $90 \%$ reported satisfaction with their learning plans. While the system effectively supports student-centered learning, its reliance on structured digital data presents challenges for broader implementation in resource-limited institutions. This framework offers a scalable, context-aware model for integrating intelligent curriculum planning tools in higher education, supporting both academic success and alignment with SDG 4 goals.

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Publication Details

Published
2025-07-30
DOI
https://doi.org/10.1109/istem-ed65612.2025.11129281
Primary Topic
Higher Education Learning Practices
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article
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article

Next-Gen Learning Pathways: Outcome-Based Curriculum Design in Thai Higher Education with Microsoft Copilot

Sirinuch Sararuch, Panita Wannapiroon, Sooksawaddee Nattawuttisit
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Higher Education Learning Practices
article

Next-Gen Learning Pathways: Outcome-Based Curriculum Design in Thai Higher Education with Microsoft Copilot

Sirinuch Sararuch, Panita Wannapiroon, Sooksawaddee Nattawuttisit
article en

Abstract

This study presents a strategic framework to enhance academic performance in STEM disciplines, using personalized, outcome-based curriculum design for second-year Information Technology students in Bangkok, Thailand. Addressing the limitations of traditional curricula, a course recommendation system was developed using student profiles, course metadata, and intended learning outcomes aligned with the Thai Qualifications Framework (TQF). Integrated with Microsoft Copilot, the system supports personalized academic planning and data-driven decision-making. A pilot with 278 students showed that $85 \%$ improved their performance, with an average grade increase of $8 \%$, and over $90 \%$ reported satisfaction with their learning plans. While the system effectively supports student-centered learning, its reliance on structured digital data presents challenges for broader implementation in resource-limited institutions. This framework offers a scalable, context-aware model for integrating intelligent curriculum planning tools in higher education, supporting both academic success and alignment with SDG 4 goals.

Siam University (TH), Prince of Songkla University (TH), King Mongkut's University of Technology North Bangkok (TH)
Quality Education
Openalex Percentile: Top 75%
Higher Education Learning Practices
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Next-Gen Learning Pathways: Outcome-Based Curriculum Design in Thai Higher Education with Microsoft Copilot — Sirinuch Sararuch, Panita Wannapiroon, et al. · (2025) | TGRS Research Map | TGRS