Literacy and Attitudes on Artificial Intelligence Among the Students in a Private School: Input for Institutional AI Policy
Abstract
This study assessed the level of literacy and attitudes toward artificial intelligence (AI) among the students, both overall and by sex, year level, strand, primary device used for schoolwork, and internet access at home. Additionally, it examined the relationship between literacy and attitudes toward AI. It employed a descriptive-correlational research approach. The respondents were 230 randomly stratified students in a private school. Data were collected using two adopted questionnaires: a 15-item AI literacy and a 12-item attitude toward AI. It utilized a five-point Likert scale for both constructs. In data analysis, mean, standard deviation, and Spearman's rank-order correlation were employed. The findings showed the students exhibited a high level of AI literacy across all four areas. Additionally, the students demonstrated a neutral attitude toward the positive aspect and disagreed with the negative aspect. This suggests that students recognize the benefits of artificial intelligence while generally rejecting negative notions about it. Moreover, the results revealed a significant positive correlation between AI literacy and positive attitude, and a non-significant negative correlation between AI literacy and negative attitude. The findings of this study may serve as a benchmark for crafting an artificial intelligence policy in a private school. Similarly, this may inform the AI task force's decision on which sections of the policy must be included to maintain the integrity of the assessment and the students' written work and research.
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Afroogh, S., Akbari, A., Malone, E., Kargar, M., & Alambeigi, H. (2024). Trust in AI: progress, challenges, and future directions. Humanities and Social Sciences Communications, 11(1), 1–30. https://doi.org/10.1057/s41599-024-04044-8
Baroni, I., Calegari, G. R., Scandolari, D., & Celino, I. (2022). AI-TAM: A model to investigate user acceptance and collaborative intention in human-in-the-loop AI applications. Human Computation, 9(1), 1–21. https://doi.org/10.15346/hc.v9i1.134
Bo, D., Ma’rof, A. A., & Zaremohzzabieh, Z. (2025). The influence of negative stereotypes in science fiction and fantasy on public perceptions of artificial intelligence: A systematic review. Studies in Media and Communication, 13(1), 180–190. https://doi.org/10.11114/smc.v13i1.7212
Bochniarz, K. T., Czerwiński, S. K., Sawicki, A., & Atroszko, P. A. (2022). Attitudes to AI among high school students: Understanding distrust towards humans will not help us understand distrust towards AI. Personality and Individual Differences, 185, 111299. https://doi.org/10.1016/j.paid.2021.111299
Cardon, P. W., & Marshall, B. (2024). Can AI be your teammate or friend? Frequent AI users are more likely to grant humanlike roles to AI. Business and Professional Communication Quarterly, 87(4), 654–669. https://doi.org/10.1177/23294906241282764
Cutillas, A. L., Balili, E. E., & Rellin, E. C. (2025). Analyzing alternative academic assessments (AAAs) in universities with cheat-proofing behaviors and instructor-formulated mechanics in an AI-dependent setting. Environment and Social Psychology, 10(5), 3265. https://doi.org/10.59429/esp.v10i5.3265
Digital Education Council. (2024). What students want: Key results from DEC global AI student survey 2024. https://www.digitaleducationcouncil.com/post/what-students-want-key-results-from-dec-global-ai-student-survey-2024
Diloy, M. A., Comparativo, C. P. E., Reyes, J. C. T., Eusebio, B. J. M., & Morona, L. I. C. (2023, December). Exploring the Landscape of AI Tools in Student Learning: An analysis of commonly utilized AI Tools at a university in the Philippines. In Proceedings of the 2023 6th Artificial Intelligence and Cloud Computing Conference (pp. 266–271). https://doi.org/10.1145/3639592.3639629
Doria, J. O. (2024). The double-edged sword: A review of artificial intelligence integration in the Philippine educational system. Southeast Asian Journal of Science and Technology, 9(1), 257–264. file:///C:/Users/USER/Downloads/341-Article%20Text-957-1-10-20250805.pdf
Flores, R. A. R., Reza-Flores, C. M., Galafassi, C., Acosta-Ochoa, A., & Vicari, R. M. (2025). Artificial intelligence and students: An overview from teaching-learning, ethics-morality, emotions, training, cognition-creativity, social construct, recreation-entertainment. Journal of Pedagogy, 16(1), 42–68. https://doi.org/10.2478/jped-2025-0003
Giray, L., De Silos, P. Y., Adornado, A., Buelo, R. J. V., Galas, E., Reyes-Chua, E., ... & Ulanday, M. L. (2024). Use and impact of artificial intelligence in Philippine higher education: Reflections from instructors and administrators. Internet Reference Services Quarterly, 28(3), 315–338. https://doi.org/10.1080/10875301.2024.2352746
Toker Gokce, A., Deveci Topal, A., Kolburan Geçer, A., & Dilek Eren, C. (2025). Investigating the level of artificial intelligence literacy of university students using decision trees. Education and Information Technologies, 30(5), 6765–6784. https://doi.org/10.1007/s10639-024-13081-4
Hollands, F., & Breazeal, C. (2024). Establishing AI literacy before adopting AI. The Science Teacher, 91(2), 35–42. https://doi.org/10.1080/00368555.2024.2308316
Hwang, S., & Nam, Y. (2020). The analysis of the mediating and moderating effects of perceived risks on the relationship between knowledge, feelings and acceptance intention towards AI. Journal of the Korea Contents Association, 20(8), 350–358. https://doi.org/10.5392/JKCA.2020.20.08.350
Kim, J., & Kim, J. (2024). Acceptance of artificial intelligence technology and optimism regarding its impact on the job market among high school students. Journal of Higher Education Theory and Practice, 24(10), 181–191. https://doi.org/10.33423/jhetp.v24i10.7373
Kong, S. C., Cheung, W. M. Y., & Zhang, G. (2023). Evaluating an artificial intelligence literacy programme for developing university students’ conceptual understanding, literacy, empowerment and ethical awareness. Educational Technology & Society, 26(1), 16–30. https://www.jstor.org/stable/48707964
Kong, S., Cheung, W., & Tsang, O. (2022). Evaluating an artificial intelligence literacy programme for empowering and developing concepts, literacy, and ethical awareness in senior secondary students. Education and Information Technologies, 28, 4703–4724. https://doi.org/10.1007/s10639-022-11408-7
Kong, S. C., Cheung, M. Y. W., & Tsang, O. (2024). Developing an artificial intelligence literacy framework: Evaluation of a literacy course for senior secondary students using a project-based learning approach. Computers and Education: Artificial Intelligence, 6, 100214. https://doi.org/10.1016/j.caeai.2024.100214
Ma, S., & Chen, Z. (2024). The development and validation of the artificial intelligence literacy scale for Chinese college students (AILS-CCS). IEEE Access. https://doi.org/10.1109/ACCESS.2024.3468378
Marrone, R., Zamecnik, A., Joksimovic, S., Johnson, J., & De Laat, M. (2025). Understanding student perceptions of artificial intelligence as a teammate. Technology, Knowledge and Learning, 30(3), 1847–1869. https://doi.org/10.1007/s10758-024-09780-z
Roe, J., & Perkins, M. (2023). “What they’re not telling you about ChatGPT”: Exploring the discourse of AI in UK news media headlines. Humanities and Social Sciences Communications, 10(1), 1–9. https://doi.org/10.1057/s41599-023-02282-w
Roga, A.L.M., Benito, J.M., Daulayan, K.N., Mariñas, R.M., Fernandez, S.J., Laplano, V.R., DelaPeña, L.V.C., Tolentino, M.J., (2025). The perceived awareness, attitudes, benefits, and threats of AI tools among senior high school students. Psychology and Education: A Multidisciplinary Journal, 35(2), 150–165. https://doi.org/10.70838/pemj.350207
Romaniuk, M. W., & Łukasiewicz-Wieleba, J. (2024). Generative artificial intelligence in the teaching activities of academic teachers and students. International Journal of Electronics and Telecommunications, 70, 1043–1048. https://doi.org/10.24425/ijet.2024.152092
Sajja, R., Sermet, Y., Fodale, B., & Demir, I. (2025). Evaluating AI-powered learning assistants in engineering higher education: Student engagement, ethical challenges, and policy implications. arXiv preprint arXiv:2506.05699. https://doi.org/10.48550/arXiv.2506.05699
Saxena, P., Saxena, V., Pandey, A., Flato, U., & Shukla, K. (2023). Multiple aspects of artificial intelligence. Book Saga Publications. https://doi.org/10.60148/muasartificialintelligence
Stein, J. P., Messingschlager, T., Gnambs, T., Hutmacher, F., & Appel, M. (2024). Attitudes towards AI: measurement and associations with personality. Scientific Reports, 14(1), 2909. https://doi.org/10.1038/s41598-024-53335-2
Su, J., & Yang, W. (2024). Artificial intelligence (AI) literacy in early childhood education: An intervention study in Hong Kong. Interactive Learning Environments, 32(9), 5494–5508. https://doi.org/10.1080/10494820.2023.2217864
Theis, S., Jentzsch, S., Deligiannaki, F., Berro, C., Raulf, A. P., & Bruder, C. (2023, July). Requirements for explainability and acceptance of artificial intelligence in collaborative work. In International conference on human-computer interaction (pp. 355-380). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-35891-3_22
Tomsett, R., Preece, A., Braines, D., Cerutti, F., Chakraborty, S., Srivastava, M., ... & Kaplan, L. (2020). Rapid trust calibration through interpretable and uncertainty-aware AI. Patterns, 1(4), 100049. https://doi.org/10.1016/j.patter.2020.100049
Tsai, C. C., Chung, C. C., Cheng, Y. M., & Lou, S. J. (2022). Deep learning course development and evaluation of artificial intelligence in vocational senior high schools. Frontiers in Psychology, 13, 965926. https://doi.org/10.3389/fpsyg.2022.965926
Villarino, R. T. (2025). Artificial intelligence (AI) integration in rural Philippine higher education: Perspectives, challenges, and ethical considerations. IJERI: International Journal of Educational Research and Innovation, (23), 1–25. https://doi.org/10.46661/ijeri.10909
Vousinas, G., & Meleouni, C. (2024). The application of artificial intelligence in the field of education: Challenges and opportunities. Journal of Politics, Ethics and New Technologies – AI, 3(1), e38477. https://doi.org/10.12681/jpentai.38477
Wu, D., & Zhang, J. (2025). Generative artificial intelligence in secondary education: Applications and effects on students’ innovation skills and digital literacy. PLOS ONE, 20(5), e0323349. https://doi.org/10.1371/journal.pone.0323349
Zhan, E. S., Molina, M. D., Rheu, M., & Peng, W. (2024). What is there to fear? Understanding multi-dimensional fear of AI from a technological affordance perspective. International Journal of Human–Computer Interaction, 40(22), 7127–7144. https://doi.org/10.1080/10447318.2023.2261731
Zhang, S., Ganapathy Prasad, P., & Schroeder, N. L. (2025). Learning About AI: A Systematic Review of Reviews on AI Literacy. Journal of Educational Computing Research, 07356331251342081. https://doi.org/10.1177/07356331251342081















