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題名 Alignment of Higher Education Curricula with SDGs Using Large Language Models
作者 廖文宏
Liu, Zi-Hong;Liao, Wen-Hung
貢獻者 資訊系
關鍵詞 Sustainable Development Goals (SDGs); Higher Education; Large Language Models (LLMs); Curriculum Analysis
日期 2026-01
上傳時間 28-Apr-2026 13:09:48 (UTC+8)
摘要 This study aims to explore the relationship between university courses and the United Nations Sustainable Development Goals (SDGs). We collected and processed course information from various departments at National Chengchi University, and utilized Large Language Models (LLMs) to analyze and classify course texts. Each course was assigned correlation scores and explanatory rationales for all 17 SDGs. To mitigate discrepancies among different LLM-generated evaluations, we designed a cross-assessment and aggregation mechanism to ensure consensus in the final outputs. Furthermore, we compiled the average SDG scores at both the course and departmental levels and presented them through visualizations to identify potential alignments and gaps between curricular design and sustainable development objectives. Preliminary results reveal significant variations among departments in goals such as “Quality Education,” “Sustainable Cities and Communities,” and “Industry, Innovation, and Infrastructure,” reflecting the connection between course design and disciplinary characteristics. This study provides a scalable methodology to support higher education institutions in curriculum auditing and policy planning, and to facilitate sustainability strategy formulation at the university or departmental level.
關聯 Proceedings of 2026 20th International Conference on Ubiquitous Information Management and Communication (IMCOM), IEEE SMC, pp.1-8
資料類型 conference
DOI https://doi.org/10.1109/IMCOM69009.2026.11360919
dc.contributor 資訊系-
dc.creator (作者) 廖文宏-
dc.creator (作者) Liu, Zi-Hong;Liao, Wen-Hung-
dc.date (日期) 2026-01-
dc.date.accessioned 28-Apr-2026 13:09:48 (UTC+8)-
dc.date.available 28-Apr-2026 13:09:48 (UTC+8)-
dc.date.issued (上傳時間) 28-Apr-2026 13:09:48 (UTC+8)-
dc.identifier.uri (URI) https://ah.lib.nccu.edu.tw/item?item_id=182220-
dc.description.abstract (摘要) This study aims to explore the relationship between university courses and the United Nations Sustainable Development Goals (SDGs). We collected and processed course information from various departments at National Chengchi University, and utilized Large Language Models (LLMs) to analyze and classify course texts. Each course was assigned correlation scores and explanatory rationales for all 17 SDGs. To mitigate discrepancies among different LLM-generated evaluations, we designed a cross-assessment and aggregation mechanism to ensure consensus in the final outputs. Furthermore, we compiled the average SDG scores at both the course and departmental levels and presented them through visualizations to identify potential alignments and gaps between curricular design and sustainable development objectives. Preliminary results reveal significant variations among departments in goals such as “Quality Education,” “Sustainable Cities and Communities,” and “Industry, Innovation, and Infrastructure,” reflecting the connection between course design and disciplinary characteristics. This study provides a scalable methodology to support higher education institutions in curriculum auditing and policy planning, and to facilitate sustainability strategy formulation at the university or departmental level.-
dc.format.extent 112 bytes-
dc.format.mimetype text/html-
dc.relation (關聯) Proceedings of 2026 20th International Conference on Ubiquitous Information Management and Communication (IMCOM), IEEE SMC, pp.1-8-
dc.subject (關鍵詞) Sustainable Development Goals (SDGs); Higher Education; Large Language Models (LLMs); Curriculum Analysis-
dc.title (題名) Alignment of Higher Education Curricula with SDGs Using Large Language Models-
dc.type (資料類型) conference-
dc.identifier.doi (DOI) 10.1109/IMCOM69009.2026.11360919-
dc.doi.uri (DOI) https://doi.org/10.1109/IMCOM69009.2026.11360919-