{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,19]],"date-time":"2026-03-19T14:46:43Z","timestamp":1773931603535,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":7,"publisher":"ACM","license":[{"start":{"date-parts":[[2025,2,18]],"date-time":"2025-02-18T00:00:00Z","timestamp":1739836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,2,18]]},"DOI":"10.1145\/3641555.3705245","type":"proceedings-article","created":{"date-parts":[[2025,2,18]],"date-time":"2025-02-18T18:54:26Z","timestamp":1739904866000},"page":"1603-1604","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Scaling Academic Decision-Making with NLP: Automating Transfer Credit Evaluations"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2480-9974","authenticated-orcid":false,"given":"Nimisha","family":"Roy","sequence":"first","affiliation":[{"name":"Georgia Institute of Technology, Atlanta, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5692-2045","authenticated-orcid":false,"given":"Omojokun","family":"Olufisayo","sequence":"additional","affiliation":[{"name":"Georgia Institute of Technology, Atlanta, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-4272-5216","authenticated-orcid":false,"given":"Huaijin","family":"Tu","sequence":"additional","affiliation":[{"name":"Georgia Institute of Technology, Atlanta, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2025,2,18]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"D. Chandrasekaran and V. Mago. 2021. Automating Transfer Credit Assess- ment in Student Mobility--A Natural Language Processing-based Approach. arXiv:2104.01955 [cs.CL] arXiv preprint arXiv:2104.01955."},{"key":"e_1_3_2_1_2_1","first-page":"2023","volume-title":"LangChain LLM app development framework. Retrieved July, 685(10)","author":"Chase H.","unstructured":"H. Chase. 2023. LangChain LLM app development framework. Retrieved July, 685(10), p.2023."},{"key":"e_1_3_2_1_3_1","volume-title":"Proceedings of the 2024 9th International Conference on Distance Education and Learning. 340--346","author":"Liu L.","unstructured":"L. Liu, R.A. Mendoza, T.R. Martin, and V.M. Miori. 2024. Generative AI-Powered Educational Alignment: A Framework for Matching Syllabus Course Topics with Web Description. In Proceedings of the 2024 9th International Conference on Distance Education and Learning. 340--346."},{"key":"e_1_3_2_1_4_1","volume-title":"ICERI2020 Proceedings. IATED, 1779-- 1784","author":"Rashtian H.","unstructured":"H. Rashtian, A. Hashemi, and L. Macfadyen. 2020. Harnessing natural language processing to support curriculum analysis. In ICERI2020 Proceedings. IATED, 1779-- 1784."},{"key":"e_1_3_2_1_5_1","unstructured":"M. Renze and E. Guven. 2024. Self-Reflection in LLM Agents: Effects on Problem- Solving Performance. arXiv:2405.06682 [cs.AI] arXiv preprint arXiv:2405.06682."},{"key":"e_1_3_2_1_6_1","volume-title":"2021 IV International Conference on High Technology for Sustainable Development (HiTech). IEEE, 01--04","author":"Ujkani B.","unstructured":"B. Ujkani, D. Minkovska, and L. Stoyanova. 2021. Using natural language process- ing for quality assurance purposes in higher education. In 2021 IV International Conference on High Technology for Sustainable Development (HiTech). IEEE, 01--04."},{"key":"e_1_3_2_1_7_1","first-page":"24824","article-title":"Chain-of-thought prompting elicits reasoning in large language models","volume":"35","author":"Wei J.","year":"2022","unstructured":"J. Wei, X. Wang, D. Schuurmans, M. Bosma, F. Xia, E. Chi, Q.V. Le, and D. Zhou. 2022. Chain-of-thought prompting elicits reasoning in large language models. In Advances in Neural Information Processing Systems, Vol. 35. 24824--24837.","journal-title":"Advances in Neural Information Processing Systems"}],"event":{"name":"SIGCSE TS 2025: The 56th ACM Technical Symposium on Computer Science Education","location":"Pittsburgh PA USA","acronym":"SIGCSE TS 2025","sponsor":["SIGCSE ACM Special Interest Group on Computer Science Education"]},"container-title":["Proceedings of the 56th ACM Technical Symposium on Computer Science Education V. 2"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3641555.3705245","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3641555.3705245","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,21]],"date-time":"2025-08-21T10:08:19Z","timestamp":1755770899000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3641555.3705245"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,2,18]]},"references-count":7,"alternative-id":["10.1145\/3641555.3705245","10.1145\/3641555"],"URL":"https:\/\/doi.org\/10.1145\/3641555.3705245","relation":{},"subject":[],"published":{"date-parts":[[2025,2,18]]},"assertion":[{"value":"2025-02-18","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}