Artificial Intelligence Literacy among Psychology Undergraduate Students

Authors

Zaine Zulkifli

Faculty of Cognitive Sciences and Human Development, Universiti Malaysia Sarawak (Malaysia)

Muhammad Redza Mohd Radzi

Faculty of Resource Science and Technology, Universiti Malaysia Sarawak (Malaysia)

Siti Atiyah Ali

Faculty of Cognitive Sciences and Human Development, Universiti Malaysia Sarawak (Malaysia)

Nurfaizatul Aisyah Ab Aziz

Faculty of Cognitive Sciences and Human Development, Universiti Malaysia Sarawak (Malaysia)

Article Information

DOI: 10.47772/IJRISS.2026.100800127

Subject Category: Psychology

Volume/Issue: 10/8 | Page No: 1842-1846

Publication Timeline

Submitted: 2026-08-13

Accepted: 2026-08-18

Published: 2026-08-27

Abstract

Artificial intelligence (AI) is increasingly embedded in higher education, reshaping how students learn, evaluate information, and prepare for professional practice. Despite this rapid integration, AI literacy remains uneven across disciplines, particularly in non-technical fields such as psychology. This quantitative action research study examined the baseline level of AI literacy among Psychology undergraduate students at Universiti Malaysia Sarawak (UNIMAS) and evaluated the effectiveness of a structured, short-term instructional intervention designed to enhance cognitive and ethical dimensions of AI literacy. Using a pre-test–post-test design, 35 Psychology undergraduates completed the AI Literacy Questionnaire before and after a one-day intervention comprising two instructional sessions. Descriptive and inferential analyses revealed statistically significant improvements in both cognitive and ethical AI literacy following the intervention, with large effect sizes. These findings demonstrate that targeted, discipline-relevant AI literacy instruction can substantially strengthen psychology students’ conceptual understanding of AI and ethical awareness. The study contributes to the scholarship of teaching and learning (SoTL) by providing empirical evidence to support the systematic integration of AI literacy into psychology and social science curricula.

Keywords

AI literacy, psychology students, ethics in AI

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References

1. Bearman, M., Ryan, J., & Ajjawi, R. (2022). Discourses of artificial intelligence in higher education: A critical literature review. Higher Education, 86(2), 369-385. https://doi.org/10.1007/s10734-022-00937-2 [Google Scholar] [Crossref]

2. Butt, F. S., Malik, A., & Mahmood, K. (2025). Assessing AI literacy of university students in Pakistan: a cross-sectional survey. Digital Library Perspectives, 1-18. [Google Scholar] [Crossref]

3. Cantú-Ortiz, F. J., Sánchez, N. G., Garrido, L., Terashima-Marín, H., & Brena, R. F. (2020). An artificial intelligence educational strategy for the digital transformation. International Journal on Interactive Design and Manufacturing (IJIDeM), 14(4), 1195-1209. https://doi.org/10.1007/s12008-020-00702-8 [Google Scholar] [Crossref]

4. Chiu, T. K. F. (2023). The impact of generative AI (GenAI) on practices, policies, and research direction in education: A case of ChatGPT and MidJourney. Interactive Learning Environments, 32(10), 6187-6203. https://doi.org/10.1080/10494820.2023.2253861 [Google Scholar] [Crossref]

5. Eke, D. (2023). ChatGPT and the rise of generative AI: Threat to academic integrity? Journal of Responsible Technology, 13, 100060. https://doi.org/10.1016/j.jrt.2023.100060 [Google Scholar] [Crossref]

6. Fariani, R. I., Junus, K., & Santoso, H. B. (2023). A systematic literature review on personalised learning in the higher education context. Tech Know Learn, 28, 449-476. https://doi.org/10.1007/s10758-022-09628-4 [Google Scholar] [Crossref]

7. Farrokhnia, M., Banihashem, S. K., Noroozi, O., & Wals, A. (2023). A SWOT analysis of ChatGPT: Implications for educational practice and research. Innovations in Education and Teaching International, 61(3), 460-474. https://doi.org/10.1080/14703297.2023.2195846 [Google Scholar] [Crossref]

8. Kostka, I., & Toncelli, R. (2023). Exploring applications of ChatGPT to English language teaching: Opportunities, challenges, and recommendations. TESL-EJ, 27(3). https://doi.org/10.55593/ej.27107int [Google Scholar] [Crossref]

9. Lameras, P., & Arnab, S. (2021). Power to the teachers: An exploratory review on artificial intelligence in education. Information, 13(1), 14. https://doi.org/10.3390/info13010014 [Google Scholar] [Crossref]

10. Lodge, J. M., De Barba, P., & Broadbent, J. (2024). Learning with generative artificial intelligence within a network of co-regulation. Journal of University Teaching and Learning Practice, 20(7). https://doi.org/10.53761/1.20.7.02 [Google Scholar] [Crossref]

11. Long, D., & Magerko, B. (2020). What is AI literacy? Competencies and design considerations. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (pp. 1-14). Association for Computing Machinery. https://doi.org/10.1145/3313831.3376727 [Google Scholar] [Crossref]

12. Mansoor, H. M., Bawazir, A., Alsabri, M. A., Alharbi, A., & Okela, A. H. (2024). Artificial intelligence literacy among university students: A comparative transnational survey. Frontiers in Communication, 9, 1478476. https://doi.org/10.3389/fcomm.2024.1478476 [Google Scholar] [Crossref]

13. Mastam, N. M., Mokhtar, K., & Zaharudin, R. (2024). Bridging the digital divide in Malaysia: Enhancing digital literacy for inclusive students in educational systems. Asia Pacific Journal of Youth Studies, 15(2), 111-131. [Google Scholar] [Crossref]

14. Ng, D. T. K., Leung, J. K. L., Chu, S. K. W., & Qiao, M. S. (2021). Conceptualizing AI literacy: An exploratory review. Computers and Education: Artificial Intelligence, 2, 100041. https://doi.org/10.1016/j.caeai.2021.100041 [Google Scholar] [Crossref]

15. Ng, D. T. K., Wu, W., Leung, J. K. L., Chiu, T. K. F., & Chu, S. K. W. (2024). Design and validation of the AI literacy questionnaire: The affective, behavioural, cognitive and ethical approach. Computers & Education, 203, 104785. https://doi.org/10.1016/j.compedu.2024.104785 [Google Scholar] [Crossref]

16. Su, J., & Yang, W. (2023). AI literacy curriculum and its relation to children’s perceptions of robots and attitudes towards engineering and science: An intervention study. Journal of Computer Assisted Learning, 40(1), 241-253. https://doi.org/10.1111/jcal.12867 [Google Scholar] [Crossref]

17. Tapalova, O., & Zhiyenbayeva, N. (2022). Artificial intelligence in education: AIED for personalised learning pathways. Electronic Journal of E-Learning, 20(5), 639-653. https://doi.org/10.34190/ejel.20.5.2597 [Google Scholar] [Crossref]

18. Yildirim, Y., Camci, F., & Aygar, E. (2023). Advancing self-directed learning through artificial intelligence. In Advancing self-directed learning in higher education (pp. 146-157). IGI Global. https://doi.org/10.4018/978-1-6684-7664-4.ch009 [Google Scholar] [Crossref]

19. Zhai, C., Wibowo, S., & Li, L. D. (2024). The effects of over-reliance on AI dialogue systems on students' cognitive abilities: a systematic review. Smart Learning Environments, 11(1), 28. [Google Scholar] [Crossref]

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