How Universities Can Move Forward With Generative AI in Teaching and Learning.
Saved in:
| Title: | How Universities Can Move Forward With Generative AI in Teaching and Learning. |
|---|---|
| Authors: | Ward, Doug, Loshbaugh, Heidi G., Gibbs, Alison L., Henkel, Tim, Siering, Greg, Williamson, Jim, Kayser, Mark |
| Source: | Change. Jan/Feb2024, Vol. 56 Issue 1, p47-54. 8p. |
| Subjects: | Artificial intelligence, Learning, Research, Libraries & institutions, Administrative assistants |
| Abstract: | The article presents the discussion on Generative AI in teaching and learning. Topics include focuses on the intersection of research, practice, and policy by supporting faculty and institutions; and Universities must think creatively about developing AI-powered learning assistants, adaptive learning systems, faculty assistants. |
| Database: | Psychology and Behavioral Sciences Collection |
|
Full text is not displayed to guests.
Login for full access.
|
|
| FullText | Links: – Type: pdflink Text: Availability: 1 |
|---|---|
| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 174908940 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: How Universities Can Move Forward With Generative AI in Teaching and Learning. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Ward%2C+Doug%22">Ward, Doug</searchLink><br /><searchLink fieldCode="AR" term="%22Loshbaugh%2C+Heidi+G%2E%22">Loshbaugh, Heidi G.</searchLink><br /><searchLink fieldCode="AR" term="%22Gibbs%2C+Alison+L%2E%22">Gibbs, Alison L.</searchLink><br /><searchLink fieldCode="AR" term="%22Henkel%2C+Tim%22">Henkel, Tim</searchLink><br /><searchLink fieldCode="AR" term="%22Siering%2C+Greg%22">Siering, Greg</searchLink><br /><searchLink fieldCode="AR" term="%22Williamson%2C+Jim%22">Williamson, Jim</searchLink><br /><searchLink fieldCode="AR" term="%22Kayser%2C+Mark%22">Kayser, Mark</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Change%22">Change</searchLink>. Jan/Feb2024, Vol. 56 Issue 1, p47-54. 8p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Learning%22">Learning</searchLink><br /><searchLink fieldCode="DE" term="%22Research%22">Research</searchLink><br /><searchLink fieldCode="DE" term="%22Libraries+%26+institutions%22">Libraries & institutions</searchLink><br /><searchLink fieldCode="DE" term="%22Administrative+assistants%22">Administrative assistants</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The article presents the discussion on Generative AI in teaching and learning. Topics include focuses on the intersection of research, practice, and policy by supporting faculty and institutions; and Universities must think creatively about developing AI-powered learning assistants, adaptive learning systems, faculty assistants. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=174908940 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/00091383.2024.2297635 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 8 StartPage: 47 Subjects: – SubjectFull: Artificial intelligence Type: general – SubjectFull: Learning Type: general – SubjectFull: Research Type: general – SubjectFull: Libraries & institutions Type: general – SubjectFull: Administrative assistants Type: general Titles: – TitleFull: How Universities Can Move Forward With Generative AI in Teaching and Learning. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ward, Doug – PersonEntity: Name: NameFull: Loshbaugh, Heidi G. – PersonEntity: Name: NameFull: Gibbs, Alison L. – PersonEntity: Name: NameFull: Henkel, Tim – PersonEntity: Name: NameFull: Siering, Greg – PersonEntity: Name: NameFull: Williamson, Jim – PersonEntity: Name: NameFull: Kayser, Mark IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan/Feb2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 00091383 Numbering: – Type: volume Value: 56 – Type: issue Value: 1 Titles: – TitleFull: Change Type: main |
| ResultId | 1 |