Pre-service teachers' technology acceptance of artificial intelligence (AI) applications in education
We verified a pre-service teachers' Extended Technology Acceptance Model (ETAM) for AI application use in education. Partial least squares structural equation modeling (PLS-SEM) examined data from 400 pre-service teachers in Central Visayas, Philippines. Perceived usefulness and attitudes, usef...
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| Format: | Article |
| Language: | English |
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AIMS Press
2024-10-01
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| Series: | STEM Education |
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| Online Access: | https://www.aimspress.com/article/doi/10.3934/steme.2024024 |
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| author | Isidro Max V. Alejandro Joje Mar P. Sanchez Gino G. Sumalinog Janet A. Mananay Charess E. Goles Chery B. Fernandez |
| author_facet | Isidro Max V. Alejandro Joje Mar P. Sanchez Gino G. Sumalinog Janet A. Mananay Charess E. Goles Chery B. Fernandez |
| author_sort | Isidro Max V. Alejandro |
| collection | DOAJ |
| description | We verified a pre-service teachers' Extended Technology Acceptance Model (ETAM) for AI application use in education. Partial least squares structural equation modeling (PLS-SEM) examined data from 400 pre-service teachers in Central Visayas, Philippines. Perceived usefulness and attitudes, usefulness and attitudes, ease of use and attitudes, and intention to use AI apps were significantly correlated. However, subjective norms, experience, and voluntariness did not affect how valuable AI was viewed or intended to be used. Attitudes toward AI mediated specific correlations use. These findings improve the ETAM model and highlight the significance of user-friendly AI interfaces, educational activities highlighting AI's benefits, and institutional support to enhance pre-service teachers' adoption of AI applications in education. Despite its limitations, this study establishes the foundation for further research on AI adoption in educational settings. |
| format | Article |
| id | doaj-art-94044472354b438db01b7e4593ef9d2f |
| institution | Kabale University |
| issn | 2767-1925 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | AIMS Press |
| record_format | Article |
| series | STEM Education |
| spelling | doaj-art-94044472354b438db01b7e4593ef9d2f2025-01-23T07:54:57ZengAIMS PressSTEM Education2767-19252024-10-014444546510.3934/steme.2024024Pre-service teachers' technology acceptance of artificial intelligence (AI) applications in educationIsidro Max V. Alejandro0Joje Mar P. Sanchez1Gino G. Sumalinog2Janet A. Mananay3Charess E. Goles4Chery B. Fernandez5College of Teacher Education, Cebu Normal University, Cebu City, Philippines; alejandroi@cnu.edu.ph, sanchezj@cnu.edu.ph, sumalinogg@cnu.edu.ph, mananayj@cnu.edu.ph, golesc@cnu.edu.ph, bercedec@cnu.edu.phCollege of Teacher Education, Cebu Normal University, Cebu City, Philippines; alejandroi@cnu.edu.ph, sanchezj@cnu.edu.ph, sumalinogg@cnu.edu.ph, mananayj@cnu.edu.ph, golesc@cnu.edu.ph, bercedec@cnu.edu.phCollege of Teacher Education, Cebu Normal University, Cebu City, Philippines; alejandroi@cnu.edu.ph, sanchezj@cnu.edu.ph, sumalinogg@cnu.edu.ph, mananayj@cnu.edu.ph, golesc@cnu.edu.ph, bercedec@cnu.edu.phCollege of Teacher Education, Cebu Normal University, Cebu City, Philippines; alejandroi@cnu.edu.ph, sanchezj@cnu.edu.ph, sumalinogg@cnu.edu.ph, mananayj@cnu.edu.ph, golesc@cnu.edu.ph, bercedec@cnu.edu.phCollege of Teacher Education, Cebu Normal University, Cebu City, Philippines; alejandroi@cnu.edu.ph, sanchezj@cnu.edu.ph, sumalinogg@cnu.edu.ph, mananayj@cnu.edu.ph, golesc@cnu.edu.ph, bercedec@cnu.edu.phCollege of Teacher Education, Cebu Normal University, Cebu City, Philippines; alejandroi@cnu.edu.ph, sanchezj@cnu.edu.ph, sumalinogg@cnu.edu.ph, mananayj@cnu.edu.ph, golesc@cnu.edu.ph, bercedec@cnu.edu.phWe verified a pre-service teachers' Extended Technology Acceptance Model (ETAM) for AI application use in education. Partial least squares structural equation modeling (PLS-SEM) examined data from 400 pre-service teachers in Central Visayas, Philippines. Perceived usefulness and attitudes, usefulness and attitudes, ease of use and attitudes, and intention to use AI apps were significantly correlated. However, subjective norms, experience, and voluntariness did not affect how valuable AI was viewed or intended to be used. Attitudes toward AI mediated specific correlations use. These findings improve the ETAM model and highlight the significance of user-friendly AI interfaces, educational activities highlighting AI's benefits, and institutional support to enhance pre-service teachers' adoption of AI applications in education. Despite its limitations, this study establishes the foundation for further research on AI adoption in educational settings.https://www.aimspress.com/article/doi/10.3934/steme.2024024artificial intelligenceeducationpartial least squares structural equation modelingpre-service teacherstechnology acceptance |
| spellingShingle | Isidro Max V. Alejandro Joje Mar P. Sanchez Gino G. Sumalinog Janet A. Mananay Charess E. Goles Chery B. Fernandez Pre-service teachers' technology acceptance of artificial intelligence (AI) applications in education STEM Education artificial intelligence education partial least squares structural equation modeling pre-service teachers technology acceptance |
| title | Pre-service teachers' technology acceptance of artificial intelligence (AI) applications in education |
| title_full | Pre-service teachers' technology acceptance of artificial intelligence (AI) applications in education |
| title_fullStr | Pre-service teachers' technology acceptance of artificial intelligence (AI) applications in education |
| title_full_unstemmed | Pre-service teachers' technology acceptance of artificial intelligence (AI) applications in education |
| title_short | Pre-service teachers' technology acceptance of artificial intelligence (AI) applications in education |
| title_sort | pre service teachers technology acceptance of artificial intelligence ai applications in education |
| topic | artificial intelligence education partial least squares structural equation modeling pre-service teachers technology acceptance |
| url | https://www.aimspress.com/article/doi/10.3934/steme.2024024 |
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