Scrutinizing the Synthetic Syllabus
In this article I explore the scenario of syllabus creation using ChatGPT as a type of Assistant Course Designer. During the early parts of 2023, one of the scenarios for LLM-based technologies, such as ChatGPT, was the creation of course materials, assignments, and syllabi for courses. The use cas...
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| Format: | Article |
| Language: | English |
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Irish Learning Technology Association
2023-12-01
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| Series: | Irish Journal of Technology Enhanced Learning |
| Online Access: | https://journal.ilta.ie/index.php/telji/article/view/130 |
| _version_ | 1827593435647836160 |
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| author | Apostolos Koutropoulos |
| author_facet | Apostolos Koutropoulos |
| author_sort | Apostolos Koutropoulos |
| collection | DOAJ |
| description |
In this article I explore the scenario of syllabus creation using ChatGPT as a type of Assistant Course Designer. During the early parts of 2023, one of the scenarios for LLM-based technologies, such as ChatGPT, was the creation of course materials, assignments, and syllabi for courses. The use case presented at Teaching and Learning Conferences during this time always included an adjunct instructor who was assigned a course at the last minute; or an early career academic who might have not had previous experience in syllabus creation. The scenarios always hinged upon either a lack of time to prepare, or lack of prior work that a user could adapt to the current scenario, or both. While ChatGPT passes a surface-level inspection for this scenario, a deeper analysis of the output highlights the problems with relying on such a tool for this job.
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| first_indexed | 2024-03-09T02:10:39Z |
| format | Article |
| id | doaj.art-54ea964695144f929c384bf4616ab87f |
| institution | Directory Open Access Journal |
| issn | 2009-972X |
| language | English |
| last_indexed | 2024-03-09T02:10:39Z |
| publishDate | 2023-12-01 |
| publisher | Irish Learning Technology Association |
| record_format | Article |
| series | Irish Journal of Technology Enhanced Learning |
| spelling | doaj.art-54ea964695144f929c384bf4616ab87f2023-12-07T11:39:11ZengIrish Learning Technology AssociationIrish Journal of Technology Enhanced Learning2009-972X2023-12-017210.22554/ijtel.v7i2.130Scrutinizing the Synthetic SyllabusApostolos Koutropoulos0University of Massachusetts Boston In this article I explore the scenario of syllabus creation using ChatGPT as a type of Assistant Course Designer. During the early parts of 2023, one of the scenarios for LLM-based technologies, such as ChatGPT, was the creation of course materials, assignments, and syllabi for courses. The use case presented at Teaching and Learning Conferences during this time always included an adjunct instructor who was assigned a course at the last minute; or an early career academic who might have not had previous experience in syllabus creation. The scenarios always hinged upon either a lack of time to prepare, or lack of prior work that a user could adapt to the current scenario, or both. While ChatGPT passes a surface-level inspection for this scenario, a deeper analysis of the output highlights the problems with relying on such a tool for this job. https://journal.ilta.ie/index.php/telji/article/view/130 |
| spellingShingle | Apostolos Koutropoulos Scrutinizing the Synthetic Syllabus Irish Journal of Technology Enhanced Learning |
| title | Scrutinizing the Synthetic Syllabus |
| title_full | Scrutinizing the Synthetic Syllabus |
| title_fullStr | Scrutinizing the Synthetic Syllabus |
| title_full_unstemmed | Scrutinizing the Synthetic Syllabus |
| title_short | Scrutinizing the Synthetic Syllabus |
| title_sort | scrutinizing the synthetic syllabus |
| url | https://journal.ilta.ie/index.php/telji/article/view/130 |
| work_keys_str_mv | AT apostoloskoutropoulos scrutinizingthesyntheticsyllabus |