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ChatGPT in STEM Teaching: An introduction to using LLM-based tools in Higher Ed

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dc.contributor.author Misanchuk, Melanie
dc.contributor.author Hyzyk, Jakub
dc.contributor.editor Misanchuk, Melanie
dc.contributor.editor Hyzyk, Jakub
dc.date.accessioned 2024-02-27T21:58:29Z
dc.date.available 2024-02-27T21:58:29Z
dc.date.issued 2024-03-07
dc.identifier 2e352e4b-9ff9-47ad-be73-45515e04df49
dc.identifier.uri https://openlibrary-repo.ecampusontario.ca/jspui/handle/123456789/2121
dc.description.sponsorship This project is made possible with funding by the Government of Ontario and through eCampusOntario’s support of the Virtual Learning Strategy. To learn more about the Virtual Learning Strategy visit: https://vls.ecampusontario.ca. en_US
dc.description.tableofcontents I. Introduction en_US
dc.description.tableofcontents II. A Brief History of Machine Learning and LLMs en_US
dc.description.tableofcontents III. Scope and Limitations of this OER and Environmental Scan en_US
dc.description.tableofcontents IV. How LLM Technology Works en_US
dc.description.tableofcontents V. Limitations of LLMs en_US
dc.description.tableofcontents VI. Bias en_US
dc.description.tableofcontents VII. Academic Integrity en_US
dc.description.tableofcontents VIII. Using LLMs for Teaching and Learning en_US
dc.description.tableofcontents IX. Conclusion en_US
dc.language.iso eng en_US
dc.relation.isformatof https://ecampusontario.pressbooks.pub/llmtoolsforstemteachinginhighered/ en_US
dc.rights CC BY-NC-ND | https://creativecommons.org/licenses/by-nc-nd/4.0/ en_US
dc.subject ChatGPT GenAI en_US
dc.title ChatGPT in STEM Teaching: An introduction to using LLM-based tools in Higher Ed en_US
dc.type Book en_US
dcterms.accessRights Open Access en_US
dcterms.educationLevel College en_US
dcterms.educationLevel University - Undergraduate en_US
dcterms.educationLevel University - Graduate & Post-Graduate en_US
dcterms.educationLevel Adult and Continuing Education en_US
dc.identifier.slug https://openlibrary.ecampusontario.ca/catalogue/item/?id=2e352e4b-9ff9-47ad-be73-45515e04df49
ecO-OER.Adopted No en_US
ecO-OER.AncillaryMaterial No en_US
ecO-OER.Reviewed No en_US
ecO-OER.AccessibilityStatement No en_US
lrmi.learningResourceType Learning Resource en_US
lrmi.learningResourceType Learning Resource - Book en_US
lrmi.learningResourceType Learning Resource - Reference Material en_US
ecO-OER.POD.compatible No en_US
dc.description.abstract This OER fills a gap in available, approachable ready-to-implement material. There are many articles about generative AI and LLM-based tools in both the popular and academic press, but most concern only one or two aspects of the tools in depth, or address a number of topics very generally. This OER endeavors to provide one-stop shopping for Canadian post-secondary science instructors who need to know the benefits and cautions of using LLM-based tools in their classes. The sections on bias, privacy and security, intellectual property and copyright, and good pedagogical practices are important lenses through which to examine tools (and strategies to employ them) which are widely promoted but currently poorly understood. en_US
dc.description.abstract The views expressed in this publication are the views of the author(s) and do not necessarily reflect those of the Government of Ontario or the Ontario Online Learning Consortium. en_US
dc.subject.other Engineering en_US
dc.subject.other Sciences en_US
dc.subject.other Technology en_US
ecO-OER.VLS.Category None en_US
ecO-OER.VLS No en_US
ecO-OER.CVLP No en_US
ecO-OER.ItemType Learning Resource en_US
ecO-OER.ItemType Reference Material en_US
ecO-OER.MediaFormat eBook en_US
ecO-OER.MediaFormat HTML/XML en_US
ecO-OER.MediaFormat PDF en_US
ecO-OER.VLS.cvlpSupported No en_US


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