Literature review on the role of artificial intelligence in identifying and developing the potential of secondary school students for excellent character building

  • Darda Abdullah Sjam 
    Universitas Pasundan
    Indonesia
  • Cep Miftah Khoerudin
    Universitas Pasundan
    Indonesia

Abstract

The development of artificial intelligence (AI) has changed the direction of modern education towards more adaptive, reflective, and learner-centred learning. This study aims to analyse the role of AI in identifying and developing student potential, as well as its contribution to the formation of excellent character in the digital age. This research is a narrative literature review that examines various relevant scientific publications published between 2018 and 2025, sourced from international databases such as Scopus, ERIC, and ScienceDirect, as well as SINTA-indexed national journals. The literature selection process was carried out using thematic criteria that emphasised the suitability of the context of primary, secondary, and higher education in Indonesia. Data analysis was conducted using a thematic-inductive approach to identify patterns of relationships between AI implementation, learning potential development, and moral character formation. The results showed that AI plays a role in facilitating personalised learning, increasing student engagement and motivation, and fostering empathy and responsibility through adaptive feedback and reflective interaction. On the other hand, challenges arise in terms of ethics, data privacy, and the digital divide. This study emphasises that AI implementation must be oriented towards human values so that technology functions as a pedagogical partner in shaping an intelligent and characterful generation.

Keywords
  • Artificial intelligence
  • Student potential
  • Outstanding character
  • Digital education
  • Narrative literature
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References
  1. Astuti, M., Sayuti, M., & Kusumastuti, D. (2023). Integration of Artificial Intelligence in Education: Opportunities, Challenges, and Threats. The Indonesian Journal of Computer Science, 12(4), 210–223.
  2. https://www.ijcs.net/ijcs/index.php/ijcs/article/view/3266
  3. Central Statistics Agency. (2024). Percentage of people aged 5–24 who accessed the internet in the last three months based on access media. Jakarta: Central Statistics Agency. https://www.bps.go.id
  4. Bayly-Castaneda, K., Ramirez-Montoya, M.-S., & Morita-Alexander, A. (2024). Crafting personalised learning paths with AI for lifelong learning: A systematic literature review. Frontiers in Education.
  5. https://doi.org/10.3389/feduc.2024.1424386
  6. Braun, V., & Clarke, V. (2019). Reflecting on reflexive thematic analysis. Qualitative Research in Sport, Exercise and Health, 11(4), 589–597. https://doi.org/10.1080/2159676X.2019.1628806
  7. Cahyono Najwa F. et al. (2023). Ethics of Artificial Intelligence Use in Information Technology. 482-491
  8. CASEL. (2020). SEL framework: What are the core competence areas and where are they promoted? Collaborative for Academic, Social, and Emotional Learning. https://casel.org/sel-framework/
  9. Chaniago, S., Heriyanto, S., Alawiyah, S., & Khairunnisa, S. (2025). Integrating Coding and Artificial Intelligence in Indonesian Schools: A Systematic Literature Review of Needs and Curriculum Frameworks (2015–2024). Journal of Geography Education (JPG), 12(2), 155–166.* https://ppjp.ulm.ac.id/journal/index.php/jpg/article/view/23486
  10. Chichekian, T., & Benteux, B. (2022). The potential of learning with (and not from) artificial intelligence in education. Frontiers in Artificial Intelligence, 5, 903051.
  11. https://doi.org/10.3389/frai.2022.903051
  12. Chu, H.-C., Lin, C.-Y., & Hwang, G.-J. (2023). Effects of an artificial intelligence–supported flipped classroom on students’ learning performance and self-efficacy. Computers & Education, 196, 104708. https://doi.org/10.1016/j.compedu.2023.104708
  13. Deci, E. L., & Ryan, R. M. (2000). The "what" and "why" of goal pursuits: Human needs and the self-determination of behaviour. Psychological Inquiry, 11(4), 227–268. https://doi.org/10.1207/S15327965PLI1104_01
  14. Damar, H. (2021). The use of artificial intelligence in data analysis for personalised learning.
  15. Ennis, R. H., Millman, J., & Tomko, T. N. (2005). Cornell Critical Thinking Tests: Level X and Level Z (5th ed.). Pacific Grove, CA: Midwest Publications.
  16. Fu, Q., Zhang, J., & Yang, X. (2025). Artificial intelligence in education: A meta-review of opportunities, challenges, and future directions. Educational Technology Research and Development, 73(1), 1–25. https://doi.org/10.1007/s11423-025-10100-7
  17. Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate data analysis (8th ed.). Cengage Learning.
  18. Haetami, H. (2025). AI-Driven Educational Transformation in Indonesia: From Learning Personalisation to Institutional Management. Al-Ishlah: Journal of Education, 17(2), 345–359.*
  19. https://journal.staihubbulwathan.id/index.php/alishlah/article/view/7448
  20. Holmes, W., & Tuomi, I. (2022). State of the art and practice in AI in education. European Journal of Education, 57(4), 535–547.*https://doi.org/10.1111/ejed.12533
  21. Hong, Q. N., Fàbregues, S., Bartlett, G., Boardman, F., Cargo, M., Dagenais, P., ... & Pluye, P. (2018). The Mixed Methods Appraisal Tool (MMAT) version 2018 for information professionals and researchers. Education for Information, 34(4), 285–291. https://doi.org/10.3233/EFI-180221
  22. Intang, B., Nuridayanti, Judijanto, L., & Rukimin. (2024). Analysis of the Impact of Artificial Intelligence-Based Adaptive Learning on the Academic Achievement of High School Students in the Digital Age. Journal of Western Science Education, 02(01), 25–31
  23. Jolliffe, D., & Farrington, D. P. (2006). Development and validation of the Basic Empathy Scale. Journal of Adolescence, 29(4), 589–611. https://doi.org/10.1016/j.adolescence.2005.08.010
  24. K. Rukmayuninda Ririh, N. et al. (2020). Comparative Study and SWOT Analysis of Artificial Intelligence Implementation in Indonesia. Industrial Engineering Journal. 15 (2)
  25. Khairani, M. (2023). The role of extracurricular activities in exploring student potential at SDIT Cordova Samarinda. Al-Madrasah: Journal of Madrasah Ibtidaiyah Education, 7(4), 2412–2423. https://doi.org/10.35931/am.v7i4.2412
  26. Lickona, T. (2004). Character Matters: How to Help Our Children Develop Good Judgment, Integrity, and Other Essential Virtues. New York: Touchstone.
  27. Lincoln, Y. S., & Guba, E. G. (1985). Naturalistic inquiry. Beverly Hills, CA: Sage Publications.
  28. Liriwati, Y. (2023). Curriculum Transformation; Artificial Intelligence to Build Relevant Education in the Future. Journal of Islamic Education. 1(2). 62-71
  29. Maihani Syarifah et al. (2023). The Role of Artificial Intelligence (AI) in Marketing Innovation. 17(4). 1651-1661.
  30. Malu Melinda et al. (2024). Artificial Intelligence Development and Challenges Faced by the Younger Generation in the Era of Super Digitalisation. IKRAITHABDIMAS Journal. 8(1). 251-257.
  31. Manongga, D., Rahardja, U., Sembiring, I., Lutfiani, N., & Yadila, A. B. (2022). The Impact of Artificial Intelligence on Education. ADI Interdisciplinary Digital Business Journal, 3(2), 41–55. https://doi.org/10.34306/abdi. v3i2.792
  32. Merino-Campos, C. (2025). The impact of artificial intelligence on personalised learning in higher education: A systematic review. Trends in Higher Education, 4(2), 17–29.*
  33. https://doi.org/10.3390/higheredu4020017
  34. McHugh, M. L. (2012). Interrater reliability: The kappa statistic. Biochemia Medica, 22(3), 276–282. https://doi.org/10.11613/BM.2012.031
  35. Nadila, D., & Septiaji, A. (2023). Implementation of Artificial Intelligence (AI) as a Learning Medium. Indonesian Informatics Education Journal, 7(1), 45–57.*
  36. Nashori, H. F. (2003). Human Potential: An Islamic Psychological Perspective. Yogyakarta: Pustaka Fajar.
  37. Nurdin, A., Rahmawati, D., & Sulaiman, I. (2023). The influence of artificial intelligence technology on character building in students in the era of society 5.0. Proceedings of the Integration of Islamic Studies and Science in the Era of Society 5.0, Datokarama State Islamic University, Palu.
  38. OECD. (2023). Artificial intelligence in education: Opportunities and policy challenges. OECD Publishing. https://doi.org/10.1787/ai-edu-2023
  39. Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., ... & Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, 372, n71. https://doi.org/10.1136/bmj.n71
  40. Permadi, F. (2020). Analysis of Student Interests and Talents Using Artificial Intelligence. Journal of Educational Psychology, 15(1), 34-47. DOI: 10.21009/jpp.v15i1.2020
  41. Permana, P. T. H., & Astawa, N. L. P. N. S. P. (2020). Artificial intelligence in the development of English learning media. JIIP – Journal of Education Science, 3(3), 687–692. http://jiip.stkipyapisdompu.ac.id
  42. Rahma, R., Sayla, R., Putri, D., & Nasution, I. (2023). The Influence of Artificial Intelligence Technology Development on the Role of Teachers. IJM: Indonesian Multidisciplinary Journal, 1(5), 1778–1790.
  43. Rif'at, R., & Official, U. (2025). Trends and Challenges in the Application of Artificial Intelligence in Education in Indonesia. Jurnal Karya Cendekia, 9(1), 67–80.*
  44. https://jurnal.uns.ac.id/jkc/article/view/101311
  45. Rukmayuninda, K. R., Najwa, F., & Ramadhani, R. (2020). Comparative study and SWOT analysis of artificial intelligence implementation in Indonesia. Industrial Engineering Journal, 15(2), 33–42.
  46. Santoso, D. (2021). Supporting collaborative learning with artificial intelligence systems. Journal of Educational Technology, 12(3), 123-137. DOI: 10.21009/jtp.v12i3.2021
  47. Sari, N. K., Suherman, S., & Sutisna, I. (2021). The use of artificial intelligence in the transformation of education curricula in the digital era. Journal of Technology and Computer Systems, 9(1), 1-7.
  48. Schaufeli, W. B., Martínez, I. M., Pinto, A. M., Salanova, M., & Bakker, A. B. (2019). Burnout and engagement in university students: A cross-national study. Journal of Cross-Cultural Psychology, 33(5), 464–481. https://doi.org/10.1177/0022022102033005003
  49. Setiawi, A. P., Patty, E. N. S., & Making, S. R. M. (2024). The impact of artificial intelligence in secondary school learning. Jurnal Intelektual IndoMathEdu, 5(1), 680–684. https://doi.org/10.54373/imeij .v5i1.826
  50. Sihaloho, F. A., & Napitupulu, Z. (2024). Use of Artificial Intelligence in Education in Indonesia: Literature Review. Recognition: Journal of Education and Teaching, 9(1), 13–20.*
  51. https://jurnal.unusu.ac.id/index.php/rekognisi/article/view/167
  52. Snyder, H. (2019). Literature review as a research methodology: An overview and guidelines. Journal of Business Research, 104, 333–339. https://doi.org/10.1016/j.jbusres.2019.07.039
  53. Susanto, A. (2020). Implementation of Adaptive Learning with Artificial Intelligence Technology. Journal of Information Technology Education, 9(1), 78–92. DOI: 10.21009/jpti.v9i1.2020.
  54. Susanto, E. (2023). Analysis of the Application of Artificial Intelligence in Learning. Sindoro Cendikia Pendidikan, 1(8), 101–112.
  55. UNESCO. (2023). AI and education: Guidance for policy-makers. Paris: UNESCO Publishing.
  56. Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Harvard University Press.

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