Teacher Strategies Promote Student Integrity in Artificial Intelligence-Supported Learning

Teacher Strategies Promote Student Integrity in Artificial Intelligence-Supported Learning

Authors

  • Musbaing Musbaing Universitas Islam Makassar Al-Gazali
  • Mufidah Islamiyah Universitas Islam Makassar Al-Gazali

DOI:

https://doi.org/10.58230/josse.v3i2.891

Keywords:

Artificial Intelligence, Student Integrity, Teacher Strategies

Abstract

The study investigates teacher strategies for promoting student integrity in artificial intelligence (AI)-supported learning in an Indonesian primary school. It addresses three questions: what strategies teachers use to cultivate character during AI use, what challenges they encounter, and how AI contributes to students’ character development. A qualitative case study was conducted at SDIT Al-Furqan Wahdah Islamiyah Bajeng, involving nine purposively selected informants comprising four classroom teachers, one principal, and four students. Data were collected through in-depth interviews, participant observation, and documentation, then reduced, categorized, and analyzed inductively using an interactive qualitative analysis model. The findings show that teachers promote integrity through process-oriented assessment, integrity checklists, oral verification requiring students to explain AI-generated answers in their own words, time restrictions, and cross-checking AI outputs with textbooks. These strategies reinforce honesty, responsibility, discipline, independence, and critical thinking. Key supporting factors include balanced school policies and classroom facilities, while major challenges involve students’ attraction to instant answers and limited parental supervision at home. The findings indicate that AI does not automatically strengthen or weaken student character; rather, its educational effects depend on deliberate teacher guidance. The study therefore positions teachers as facilitators of integrity and highlights guided, ethical AI use as a promising approach to character education in primary schools.

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References

Adams, C., Pente, P., Lemermeyer, G., & Rockwell, G. (2023). “Ethical principles for artificial intelligence in K–12 education.” Computers and Education: Artificial Intelligence, 4, 100131. https://doi.org/10.1016/j.caeai.2023.100131

Brandão, A., Pedro, L., & Zagalo, N. (2024). “Teacher professional development for a future with generative artificial intelligence An integrative literature review.” Digital Education Review, 45, 151–157. https://doi.org/10.1344/der.2024.45.151-157

Bronfenbrenner, U. (1994). Ecological models of human development. In International encyclopedia of education (2nd ed., Vol. 3, pp. 1643–1647). Elsevier.

Cotton, D. R. E., Cotton, P. A., & Shipway, J. R. (2024). “Chatting and cheating: Ensuring academic integrity in the era of ChatGPT.” Innovations in Education and Teaching International, 61 (2), 228–239. https://doi.org/10.1080/14703297.2023.2190148

Lickona, T. (1991). Educating for character: How our schools can teach respect and responsibility. Bantam Books.

Liu, X., & Zhong, B. (2024). “A systematic review on how educators teach AI in K–12 education”. Educational Research Review, 45, 100642. https://doi.org/10.1016/j.edurev.2024.100642

Miao, F., & Cukurova, M. (2024). AI competency framework for teachers. UNESCO. https://doi.org/10.54675/ZJTE2084

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.” British Journal of Educational Technology, 55 (3), 1082–1104. https://doi.org/10.1111/bjet.13411

Tang, L., & Su, Y.-S. (2024). “Ethical implications and principles of using artificial intelligence models in the classroom: A systematic literature review.” International Journal of Interactive Multimedia and Artificial Intelligence, 8 (5), 25–36. https://doi.org/10.9781/ijimai.2024.02.010

UNESCO. (2021). AI and education: Guidance for policy-makers. UNESCO.

Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Harvard University Press.

Waltzer, T., Cox, R. L., & Heyman, G. D. (2023). “Testing the ability of teachers and students to differentiate between essays generated by ChatGPT and high school students.” Human Behavior and Emerging Technologies, 2023, Article 1923981. https://doi.org/10.1155/2023/1923981

Wang, N., Wang, X., & Su, Y. S. (2024). Critical analysis of the technological affordances, challenges and future directions of Generative AI in education: a systematic review. Asia Pacific Journal of Education, 44(1), 139–155. https://doi.org/10.1080/02188791.2024.2305156

Yim, I. H. Y. (2024). “A critical review of teaching and learning artificial intelligence (AI) literacy: Developing an intelligence-based AI literacy framework for primary school education.” Computers and Education: Artificial Intelligence, 7, 100319. https://doi.org/10.1016/j.caeai.2024.100319

Yusuf, A., Pervin, N., Román-González, M., & Noor, N. M. (2024). “Generative AI in education and research: A systematic mapping review.” Review of Education, 12 (2), e3489. https://doi.org/10.1002/rev3.3489

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Published

2026-09-28

How to Cite

Musbaing, M., & Islamiyah, M. (2026). Teacher Strategies Promote Student Integrity in Artificial Intelligence-Supported Learning: Teacher Strategies Promote Student Integrity in Artificial Intelligence-Supported Learning. Journal of Social and Scientific Education, 3(2), 569-586. https://doi.org/10.58230/josse.v3i2.891

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