AI in higher education: Faculty perspective towards artificial intelligence through UTAUT approach
Applications of AI in higher education have been around for several years, and numerous studies have looked at the pedagogical potential that these applications can offer to support the learning processes. However, there are still concerns and misunderstandings about acceptance in higher education,...
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| Format: | Article |
| Language: | English |
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HO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCE
2024-04-01
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| Series: | Ho Chi Minh City Open University Journal of Science - Social Sciences |
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| Online Access: | https://journalofscience.ou.edu.vn/index.php/soci-en/article/view/2851 |
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| author | Ryan Clifford L. Perez |
| author_facet | Ryan Clifford L. Perez |
| author_sort | Ryan Clifford L. Perez |
| collection | DOAJ |
| description | Applications of AI in higher education have been around for several years, and numerous studies have looked at the pedagogical potential that these applications can offer to support the learning processes. However, there are still concerns and misunderstandings about acceptance in higher education, particularly among faculty members, despite the growing number of studies and their opportunities for supporting the educational and learning process. This paper aims to investigate the Behavioral Intention (BI) of Higher Education Institution faculty (HEI-faculty) towards adopting AI from a pedagogical perspective. The hypotheses in this paper were tested using a technology acceptance model with four major constructs: Performance Expectancy (PE), Effort Expectancy (EE), Social Influence (SI), and Facilitating Conditions (FC), as well as the effects of four mediating variables: age, gender, experience, and voluntariness. The result has shown that the Behavioral Intention (BI) of adopting AI among HEI faculty has a strong positive significant correlation with PE, EE, SI, and FC. Interestingly, the social influence of adopting AI from colleagues has a strong influence on the use of AI for education. Thus, one of the proposed hypotheses was disproven. Furthermore, the result of this paper also suggests considerations for the future development of AI applications for HE. |
| format | Article |
| id | doaj-art-8cf394ed56664e2a9eb10e6357ade37b |
| institution | Kabale University |
| issn | 2734-9357 2734-9624 |
| language | English |
| publishDate | 2024-04-01 |
| publisher | HO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCE |
| record_format | Article |
| series | Ho Chi Minh City Open University Journal of Science - Social Sciences |
| spelling | doaj-art-8cf394ed56664e2a9eb10e6357ade37b2024-12-25T05:08:20ZengHO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCEHo Chi Minh City Open University Journal of Science - Social Sciences2734-93572734-96242024-04-01144325010.46223/HCMCOUJS.soci.en.14.4.2851.20242043AI in higher education: Faculty perspective towards artificial intelligence through UTAUT approachRyan Clifford L. Perez0Marinduque State College-Main Campus, MarindqueApplications of AI in higher education have been around for several years, and numerous studies have looked at the pedagogical potential that these applications can offer to support the learning processes. However, there are still concerns and misunderstandings about acceptance in higher education, particularly among faculty members, despite the growing number of studies and their opportunities for supporting the educational and learning process. This paper aims to investigate the Behavioral Intention (BI) of Higher Education Institution faculty (HEI-faculty) towards adopting AI from a pedagogical perspective. The hypotheses in this paper were tested using a technology acceptance model with four major constructs: Performance Expectancy (PE), Effort Expectancy (EE), Social Influence (SI), and Facilitating Conditions (FC), as well as the effects of four mediating variables: age, gender, experience, and voluntariness. The result has shown that the Behavioral Intention (BI) of adopting AI among HEI faculty has a strong positive significant correlation with PE, EE, SI, and FC. Interestingly, the social influence of adopting AI from colleagues has a strong influence on the use of AI for education. Thus, one of the proposed hypotheses was disproven. Furthermore, the result of this paper also suggests considerations for the future development of AI applications for HE.https://journalofscience.ou.edu.vn/index.php/soci-en/article/view/2851artificial intelligencebehavioral intentioneffort expectancyfacilitating conditionhigher educationperformance expectancysocial influence |
| spellingShingle | Ryan Clifford L. Perez AI in higher education: Faculty perspective towards artificial intelligence through UTAUT approach Ho Chi Minh City Open University Journal of Science - Social Sciences artificial intelligence behavioral intention effort expectancy facilitating condition higher education performance expectancy social influence |
| title | AI in higher education: Faculty perspective towards artificial intelligence through UTAUT approach |
| title_full | AI in higher education: Faculty perspective towards artificial intelligence through UTAUT approach |
| title_fullStr | AI in higher education: Faculty perspective towards artificial intelligence through UTAUT approach |
| title_full_unstemmed | AI in higher education: Faculty perspective towards artificial intelligence through UTAUT approach |
| title_short | AI in higher education: Faculty perspective towards artificial intelligence through UTAUT approach |
| title_sort | ai in higher education faculty perspective towards artificial intelligence through utaut approach |
| topic | artificial intelligence behavioral intention effort expectancy facilitating condition higher education performance expectancy social influence |
| url | https://journalofscience.ou.edu.vn/index.php/soci-en/article/view/2851 |
| work_keys_str_mv | AT ryancliffordlperez aiinhighereducationfacultyperspectivetowardsartificialintelligencethroughutautapproach |