Generative artificial intelligence: University student awareness, experience, and confidence in use across disciplines.
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| Title: | Generative artificial intelligence: University student awareness, experience, and confidence in use across disciplines. |
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| Authors: | Kelly, Andrew1 andrew.kelly@ecu.edu.au, Sullivan, Miriam1 m.sullivan@ecu.edu.au, Strampel, Katrina1 k.strampel@ecu.edu.au |
| Source: | Journal of University Teaching & Learning Practice. 2023, Vol. 20 Issue 6, p1-16. 18p. |
| Subject Terms: | *Artificial intelligence, *College students, *Student attitudes, *Foreign students, ChatGPT |
| Abstract: | The global higher education sector has been significantly disrupted by the proliferation of generative artificial intelligence tools such as ChatGPT, especially in relation to its implications for assessment. However, few studies to date have explored student perspectives on these tools. This article reports on one of the first large-scale quantitative studies of student views on generative artificial intelligence at an Australian university ( n = 1,135). When the survey was conducted, most students had low knowledge, experience, and confidence in using these tools. These results varied across disciplines and across some student sub-groups, such as mature-age students and international students. Confidence appeared to increase with experience, although the data also revealed a portion of students that have never used these tools yet still felt confident in using them. In exploring these results, this article aims to shed new light on this fast-evolving landscape and inform the future direction of supporting students to engage with generative artificial intelligence tools appropriately. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of University Teaching & Learning Practice is the property of Open Access Publishing Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Education Research Complete |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: ehh DbLabel: Education Research Complete An: 172877543 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Generative artificial intelligence: University student awareness, experience, and confidence in use across disciplines. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Kelly%2C+Andrew%22">Kelly, Andrew</searchLink><relatesTo>1</relatesTo><i> andrew.kelly@ecu.edu.au</i><br /><searchLink fieldCode="AR" term="%22Sullivan%2C+Miriam%22">Sullivan, Miriam</searchLink><relatesTo>1</relatesTo><i> m.sullivan@ecu.edu.au</i><br /><searchLink fieldCode="AR" term="%22Strampel%2C+Katrina%22">Strampel, Katrina</searchLink><relatesTo>1</relatesTo><i> k.strampel@ecu.edu.au</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+University+Teaching+%26+Learning+Practice%22">Journal of University Teaching & Learning Practice</searchLink>. 2023, Vol. 20 Issue 6, p1-16. 18p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br />*<searchLink fieldCode="DE" term="%22College+students%22">College students</searchLink><br />*<searchLink fieldCode="DE" term="%22Student+attitudes%22">Student attitudes</searchLink><br />*<searchLink fieldCode="DE" term="%22Foreign+students%22">Foreign students</searchLink><br /><searchLink fieldCode="DE" term="%22ChatGPT%22">ChatGPT</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The global higher education sector has been significantly disrupted by the proliferation of generative artificial intelligence tools such as ChatGPT, especially in relation to its implications for assessment. However, few studies to date have explored student perspectives on these tools. This article reports on one of the first large-scale quantitative studies of student views on generative artificial intelligence at an Australian university ( n = 1,135). When the survey was conducted, most students had low knowledge, experience, and confidence in using these tools. These results varied across disciplines and across some student sub-groups, such as mature-age students and international students. Confidence appeared to increase with experience, although the data also revealed a portion of students that have never used these tools yet still felt confident in using them. In exploring these results, this article aims to shed new light on this fast-evolving landscape and inform the future direction of supporting students to engage with generative artificial intelligence tools appropriately. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of University Teaching & Learning Practice is the property of Open Access Publishing Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=ehh&AN=172877543 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.53761/1.20.6.12 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 18 StartPage: 1 Subjects: – SubjectFull: Artificial intelligence Type: general – SubjectFull: College students Type: general – SubjectFull: Student attitudes Type: general – SubjectFull: Foreign students Type: general – SubjectFull: ChatGPT Type: general Titles: – TitleFull: Generative artificial intelligence: University student awareness, experience, and confidence in use across disciplines. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kelly, Andrew – PersonEntity: Name: NameFull: Sullivan, Miriam – PersonEntity: Name: NameFull: Strampel, Katrina IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: 2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 14499789 Numbering: – Type: volume Value: 20 – Type: issue Value: 6 Titles: – TitleFull: Journal of University Teaching & Learning Practice Type: main |
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