After generative AI : preparing faculty to transform education, learning, and pedagogy
In a landscape where technological advancements are disrupting and reshaping the educational paradigm, After Generative AI serves as a comprehensive guide to navigate the complexities and opportunities presented by Generative AI (GAI) and guide readers through strategies that must be implemented for...
محفوظ في:
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| مؤلفون آخرون: | |
| التنسيق: | bookPart |
| منشور في: |
2025
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| الموضوعات: | |
| الوصول للمادة أونلاين: | http://hdl.handle.net/10725/17340 https://doi.org/10.1108/978-1-83549-946-720251015 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php https://www.emerald.com/books/monograph/17054/chapter/94054667/References |
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| _version_ | 1864513474379382784 |
|---|---|
| author | Hardey, Mariann |
| author2 | Aad, Samar S. |
| author2_role | author |
| author_facet | Hardey, Mariann Aad, Samar S. |
| author_role | author |
| dc.creator.none.fl_str_mv | Hardey, Mariann Aad, Samar S. |
| dc.date.none.fl_str_mv | 2025-10-07T13:36:50Z 2025-10-07T13:36:50Z 2025 2025 |
| dc.identifier.none.fl_str_mv | 9781835499498 http://hdl.handle.net/10725/17340 https://doi.org/10.1108/978-1-83549-946-720251015 Aad, S. S., & Hardey, M. (2025). After Generative AI: Preparing Faculty to Transform Education, Learning, and Pedagogy. Emerald Publishing Limited. http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php https://www.emerald.com/books/monograph/17054/chapter/94054667/References |
| dc.language.none.fl_str_mv | en |
| dc.publisher.none.fl_str_mv | Emerald Publishing |
| dc.relation.none.fl_str_mv | Great debates in higher education |
| dc.rights.*.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Artificial intelligence -- Educational applications Education, Higher -- Effect of technological innovations on Educational technology |
| dc.title.none.fl_str_mv | After generative AI : preparing faculty to transform education, learning, and pedagogy |
| dc.type.none.fl_str_mv | Book / Chapter of a Book info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/bookPart |
| description | In a landscape where technological advancements are disrupting and reshaping the educational paradigm, After Generative AI serves as a comprehensive guide to navigate the complexities and opportunities presented by Generative AI (GAI) and guide readers through strategies that must be implemented for a successful journey with GAI. From ChatGPT, to Bard, to CANVA, educators are seeking practical insights into how to harness the power of GAI effectively. After Generative AI provides a consolidated, accessible resource that caters to students and faculty, providing them with the knowledge and strategies to thrive in an AI-enhanced educational environment. Each chapter demystifies GAI for educators and learners alike, offering a clear and accessible explanation of the basics, applications, and implications of GAI in education. This is a foundational understanding for readers, ensuring they are equipped to make informed decisions about integrating GAI into their teaching and learning processes. Going beyond basic explanations, Hardey and Aad provide practical insights and implementation strategies that recognize the concerns and ethical challenges related to GAI, such as bias in algorithms, privacy issues, and the need for inclusivity. After Generative AI fills a crucial gap in the literature by providing a practical, insightful, and forward-looking guide to GAI in education. Through comprehensive coverage, real-world examples, and ethical considerations, educators will feel empowered and learners ready to embrace GAI's transformative potential while responsibly navigating its challenges. |
| eu_rights_str_mv | openAccess |
| format | bookPart |
| id | LAURepo_ee8ca3706e03cc9760eb3576ede0fe06 |
| identifier_str_mv | 9781835499498 Aad, S. S., & Hardey, M. (2025). After Generative AI: Preparing Faculty to Transform Education, Learning, and Pedagogy. Emerald Publishing Limited. |
| language_invalid_str_mv | en |
| network_acronym_str | LAURepo |
| network_name_str | Lebanese American University repository |
| oai_identifier_str | oai:laur.lau.edu.lb:10725/17340 |
| publishDate | 2025 |
| publisher.none.fl_str_mv | Emerald Publishing |
| repository.mail.fl_str_mv | |
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| spelling | After generative AI : preparing faculty to transform education, learning, and pedagogyHardey, MariannAad, Samar S.Artificial intelligence -- Educational applicationsEducation, Higher -- Effect of technological innovations onEducational technologyIn a landscape where technological advancements are disrupting and reshaping the educational paradigm, After Generative AI serves as a comprehensive guide to navigate the complexities and opportunities presented by Generative AI (GAI) and guide readers through strategies that must be implemented for a successful journey with GAI. From ChatGPT, to Bard, to CANVA, educators are seeking practical insights into how to harness the power of GAI effectively. After Generative AI provides a consolidated, accessible resource that caters to students and faculty, providing them with the knowledge and strategies to thrive in an AI-enhanced educational environment. Each chapter demystifies GAI for educators and learners alike, offering a clear and accessible explanation of the basics, applications, and implications of GAI in education. This is a foundational understanding for readers, ensuring they are equipped to make informed decisions about integrating GAI into their teaching and learning processes. Going beyond basic explanations, Hardey and Aad provide practical insights and implementation strategies that recognize the concerns and ethical challenges related to GAI, such as bias in algorithms, privacy issues, and the need for inclusivity. After Generative AI fills a crucial gap in the literature by providing a practical, insightful, and forward-looking guide to GAI in education. Through comprehensive coverage, real-world examples, and ethical considerations, educators will feel empowered and learners ready to embrace GAI's transformative potential while responsibly navigating its challenges.240 pagesIncludes bibliographical references.Emerald Publishing2025-10-07T13:36:50Z2025-10-07T13:36:50Z20252025Book / Chapter of a Bookinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bookPart9781835499498http://hdl.handle.net/10725/17340https://doi.org/10.1108/978-1-83549-946-720251015Aad, S. S., & Hardey, M. (2025). After Generative AI: Preparing Faculty to Transform Education, Learning, and Pedagogy. Emerald Publishing Limited.http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.phphttps://www.emerald.com/books/monograph/17054/chapter/94054667/ReferencesenGreat debates in higher educationinfo:eu-repo/semantics/openAccessoai:laur.lau.edu.lb:10725/173402025-10-07T13:54:11Z |
| spellingShingle | After generative AI : preparing faculty to transform education, learning, and pedagogy Hardey, Mariann Artificial intelligence -- Educational applications Education, Higher -- Effect of technological innovations on Educational technology |
| status_str | publishedVersion |
| title | After generative AI : preparing faculty to transform education, learning, and pedagogy |
| title_full | After generative AI : preparing faculty to transform education, learning, and pedagogy |
| title_fullStr | After generative AI : preparing faculty to transform education, learning, and pedagogy |
| title_full_unstemmed | After generative AI : preparing faculty to transform education, learning, and pedagogy |
| title_short | After generative AI : preparing faculty to transform education, learning, and pedagogy |
| title_sort | After generative AI : preparing faculty to transform education, learning, and pedagogy |
| topic | Artificial intelligence -- Educational applications Education, Higher -- Effect of technological innovations on Educational technology |
| url | http://hdl.handle.net/10725/17340 https://doi.org/10.1108/978-1-83549-946-720251015 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php https://www.emerald.com/books/monograph/17054/chapter/94054667/References |