Evaluating AI adoption among university students in Indonesia: A case study at the Department of Office Administration Education at the Universitas Sebelas Maret.
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| Title: | Evaluating AI adoption among university students in Indonesia: A case study at the Department of Office Administration Education at the Universitas Sebelas Maret. |
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| Authors: | Ninghardjanti, Patni1 ning@staff.uns.ac.id, Subarno, Anton1 antonsubarno@fkip.uns.ac.id, Winarno1 winarnoq998@staff.uns.ac.id, Umam, Muhammad Choerul1 mc_umam07@staff.uns.ac.id |
| Source: | Research & Practice in Technology Enhanced Learning. 2026, Vol. 21, p1-20. 20p. |
| Subject Terms: | *College students, *Higher education, *Artificial intelligence, Technology Acceptance Model, ChatGPT, Office management, Indonesians |
| Geographic Terms: | Indonesia |
| Abstract: | The integration of artificial intelligence (AI) in education has gained global attention, yet significant gaps exist in the understanding of how AI adoption varies across academic disciplines and geographical regions. In Indonesia, particularly in office administration education, limited empirical evidence exists regarding the intersection of AI adoption patterns, user preferences, and educational outcomes. This study examines AI tool adoption among office administration students at Universitas Sebelas Maret (UNS), Indonesia, via an integrated framework that combines the technology acceptance model (TAM) and the information system (IS) success model. Structural equation modeling (SEM) analysis of data from 61 undergraduate students revealed that ChatGPT was the predominant AI tool among students. The analysis identified key relationships between information quality, system quality, and user acceptance factors. The findings support experiential learning theory principles and demonstrate that successful AI integration in education depends on user-friendly interfaces, quality content delivery, and robust support systems. These insights enhance our understanding of AI tool adoption in Indonesian higher education and provide practical strategies for effective AI integration in academic curricula. [ABSTRACT FROM AUTHOR] |
| Copyright of Research & Practice in Technology Enhanced Learning is the property of Asia-Pacific Society for Computers in Education (APSCE) 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: 192754592 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Evaluating AI adoption among university students in Indonesia: A case study at the Department of Office Administration Education at the Universitas Sebelas Maret. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Ninghardjanti%2C+Patni%22">Ninghardjanti, Patni</searchLink><relatesTo>1</relatesTo><i> ning@staff.uns.ac.id</i><br /><searchLink fieldCode="AR" term="%22Subarno%2C+Anton%22">Subarno, Anton</searchLink><relatesTo>1</relatesTo><i> antonsubarno@fkip.uns.ac.id</i><br /><searchLink fieldCode="AR" term="%22Winarno%22">Winarno</searchLink><relatesTo>1</relatesTo><i> winarnoq998@staff.uns.ac.id</i><br /><searchLink fieldCode="AR" term="%22Umam%2C+Muhammad+Choerul%22">Umam, Muhammad Choerul</searchLink><relatesTo>1</relatesTo><i> mc_umam07@staff.uns.ac.id</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Research+%26+Practice+in+Technology+Enhanced+Learning%22">Research & Practice in Technology Enhanced Learning</searchLink>. 2026, Vol. 21, p1-20. 20p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22College+students%22">College students</searchLink><br />*<searchLink fieldCode="DE" term="%22Higher+education%22">Higher education</searchLink><br />*<searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Technology+Acceptance+Model%22">Technology Acceptance Model</searchLink><br /><searchLink fieldCode="DE" term="%22ChatGPT%22">ChatGPT</searchLink><br /><searchLink fieldCode="DE" term="%22Office+management%22">Office management</searchLink><br /><searchLink fieldCode="DE" term="%22Indonesians%22">Indonesians</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Indonesia%22">Indonesia</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The integration of artificial intelligence (AI) in education has gained global attention, yet significant gaps exist in the understanding of how AI adoption varies across academic disciplines and geographical regions. In Indonesia, particularly in office administration education, limited empirical evidence exists regarding the intersection of AI adoption patterns, user preferences, and educational outcomes. This study examines AI tool adoption among office administration students at Universitas Sebelas Maret (UNS), Indonesia, via an integrated framework that combines the technology acceptance model (TAM) and the information system (IS) success model. Structural equation modeling (SEM) analysis of data from 61 undergraduate students revealed that ChatGPT was the predominant AI tool among students. The analysis identified key relationships between information quality, system quality, and user acceptance factors. The findings support experiential learning theory principles and demonstrate that successful AI integration in education depends on user-friendly interfaces, quality content delivery, and robust support systems. These insights enhance our understanding of AI tool adoption in Indonesian higher education and provide practical strategies for effective AI integration in academic curricula. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Research & Practice in Technology Enhanced Learning is the property of Asia-Pacific Society for Computers in Education (APSCE) 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.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.58459/rptel.2026.21014 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 20 StartPage: 1 Subjects: – SubjectFull: College students Type: general – SubjectFull: Higher education Type: general – SubjectFull: Artificial intelligence Type: general – SubjectFull: Technology Acceptance Model Type: general – SubjectFull: ChatGPT Type: general – SubjectFull: Office management Type: general – SubjectFull: Indonesians Type: general – SubjectFull: Indonesia Type: general Titles: – TitleFull: Evaluating AI adoption among university students in Indonesia: A case study at the Department of Office Administration Education at the Universitas Sebelas Maret. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ninghardjanti, Patni – PersonEntity: Name: NameFull: Subarno, Anton – PersonEntity: Name: NameFull: Winarno – PersonEntity: Name: NameFull: Umam, Muhammad Choerul IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: 2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 17932068 Numbering: – Type: volume Value: 21 Titles: – TitleFull: Research & Practice in Technology Enhanced Learning Type: main |
| ResultId | 1 |
