Evaluating LLM-Assisted CLO–PLO Alignment Decisions for AUN-QA–Aligned Curriculum Mapping

Suwut Tumthong, Nichanun Samakthai, Pinyaphat Tasatanattakool

Abstract

Curriculum mapping for AUN-QA is often time-consuming and prone to inconsistency because learning-outcome evidence is scattered across multiple courses and program documents. This study examines the reliability of large language models in supporting course learning outcome–program learning outcome (CLO–PLO) alignment decisions for AUN-QA–aligned curriculum mapping. Using Mechatronics Engineering curriculum materials (2022–2024), AUN-QA v4.0 indicators were operationalized into a structur

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Cite This Resource

@article{llmsec202600204,
  title = {Evaluating LLM-Assisted CLO–PLO Alignment Decisions for AUN-QA–Aligned Curriculum Mapping},
  author = {Suwut Tumthong and Nichanun Samakthai and Pinyaphat Tasatanattakool},
  year = {2026},
  doi = {10.5815/ijmecs.2026.03.08},
  url = {https://doi.org/10.5815/ijmecs.2026.03.08},
}