Integration of artificial intelligence (AI) technology in teaching and learning to build resilient character
-
Published: October 31, 2025
-
Page: 245-257
Abstract
The development of artificial intelligence (AI) in the 21st century has had a transformative impact on the world of education, particularly in higher education. AI offers great potential for improving the effectiveness and personalisation of learning, but at the same time raises ethical and moral challenges in shaping student character. This study aims to analyse how the integration of AI in the learning process contributes to strengthening the resilient character of students—covering moral, ethical, and professional dimensions—in the midst of the digital transformation era. The method used is a qualitative literature review with a systematic approach, analysing 30 scientific articles from reputable national (SINTA 1–2) and international (Scopus/DOAJ) journals published between 2015 and 2025. The analysis was conducted thematically to identify the benefits, challenges, and pedagogical strategies in the application of AI in higher education. The results of the study revealed four main themes: (1) AI increases student learning autonomy, personalisation, and intrinsic motivation; (2) ethical risks arise in the form of plagiarism, algorithmic bias, and a decline in moral reflection; (3) significant challenges lie in infrastructure gaps, technological literacy, and lecturers' pedagogical readiness; and (4) effective strategies require a humanistic approach and ethical education policies that position teachers as facilitators of values. In conclusion, AI has the potential to strengthen students' moral, ethical, and professional resilience when integrated reflectively and based on human values. These findings have significant implications for the development of higher education policies that strike a balance between technological innovation and character education in the digital age.
- Artificial intelligence
- Higher education
- Resilient character
- Digital ethics Humanistic learning

This work is licensed under a Creative Commons Attribution 4.0 International License.
- Abdillah, A. (2024). Integration of Artificial Intelligence in 21st Century Learning to Strengthen Student Character. Journal of Educational Innovation, 19(2), 115–128. https://doi.org/10.21009/jip.v19i2.4521
- Ashari, S. F., & Napitupulu, Z. (2024). Use of artificial intelligence in education in Indonesia: Systematic literature review. Recognition: Journal of Education and Teaching, 9(1), 13–20. https://doi.org/10.31219/osf.io/x97j8
- Astutik, R., Ramli, M., & Fitria, A. (2023). Artificial Intelligence-Based Learning and Academic Integrity in Secondary Education. Journal of Educational Research and Practice, 13(1), 45–59. https://doi.org/10.55942/jerp.v13i1.142
- Bond, M., Bedenlier, S., Marín, V. I., & Händel, M. (2024). A Meta-Systematic Review of Artificial Intelligence in Higher Education: A Call for Increased Ethics, Collaboration, and Rigour. International Journal of Educational Technology in Higher Education, 21(2), 1–26. https://doi.org/10.1186/s41239-023-00436-z
- Booth, A., Sutton, A., & Papaioannou, D. (2021). Systematic Approaches to a Successful Literature Review (3rd ed.). SAGE.
- Braun, V., & Clarke, V. (2021). Thematic analysis: A practical guide. SAGE.
- Chassignol, M., Khoroshavin, A., Klimova, A., & Bilyatdinova, A. (2018). Artificial Intelligence Trends in Education: A Narrative Overview. Procedia Computer Science, 136, 16–24. https://doi.org/10.1016/j.procs.2018.08.194
- Crompton, H., & Burke, D. (2023). Artificial Intelligence in Higher Education: The State of the Field. International Journal of Educational Technology in Higher Education, 20(24), 1–20. https://doi.org/10.1186/s41239-023-00392-8
- Deci, E. L., & Ryan, R. M. (2000). Self-Determination Theory and the facilitation of intrinsic motivation. American Psychologist, 55(1), 68–78. https://doi.org/10.1037/0003-066X.55.1.68
- D’Silva, N. (2025). Building resilience and academic success: An integrated framework of multiple intelligences, mentoring, psychological well-being, and AI support in higher education. Journal of Marketing & Social Research, 2(2), 685–689. https://doi.org/10.61336/JMSR/25-02-68
- European Journal of Educational Research (2021). A step-by-step approach to systematic reviews in educational research. https://www.eu-jer.com/a-step-by-step-approach-to-systematic-reviews-in-educational-research
- Fauziyati, N. (2023). The use of artificial intelligence in the learning process at SMAN 25 Bandung. Indonesian Journal of Educational Technology, 10(1), 33–45. https://doi.org/10.21831/jtpi.v10i1.57820
- Fu, W., & Weng, X. (2024). Navigating the ethical terrain of artificial intelligence in education: A systematic review. Computers & Education: AI, 5, 100306. https://doi.org/10.1016/j.caeai.2024.100306
- Gilang, R. (2021). AI-based digital report card application in Islamic schools in Indonesia. Journal of Islamic Education Management, 8(2), 175–189. https://doi.org/10.20414/jmpi.v8i2.3982
- Gumelar, A. (2023). Digital Anxiety among University Students: A Psychological Impact of AI-Assisted Learning. Frontiers in Psychology, 14, 1120107. https://doi.org/10.3389/fpsyg.2023.1120107
- Hadian, D., Yusuf, R., & Kurniawan, A. (2023). AI Ethics and Data Privacy in Education: Challenges and Policy Directions in Indonesia. Journal of Education Policy and Management, 15(1), 65–80. https://doi.org/10.21831/jkmp.v15i1.63325
- Halim, R., & Prasetya, Y. (2018). Computer-Assisted Instruction for Interactive Learning. Journal of Education and Technology, 5(3), 200–213. https://doi.org/10.26858/jpt.v5i3.14218
- Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Boston: Centre for Curriculum Redesign. https://curriculumredesign.org
- Ilfi, N., & Manaf, S. (2024). Integration of AI in Islamic Education and Strengthening Character Values. Journal of Character Education, 14(1), 88–104. https://doi.org/10.21831/jpk.v14i1.68931
- Karyadi, B. (2023). Data Protection Policy for AI-Based Learning Platforms in Indonesian Higher Education. Journal of Digital Transformation in Education, 6(2), 45–61. https://doi.org/10.54321/jtdp.v6i2.551
- Klimova, B., & Pikhart, M. (2025). Exploring the effects of artificial intelligence on student and academic well-being in higher education: A mini-review. Frontiers in Psychology, 16. https://doi.org/10.3389/fpsyg.2025.1498132
- Li, L., & Chen, Q. (2022). AI, Learning Autonomy, and Critical Thinking: A Cross-Context Comparison. Computers in Human Behaviour, 136, 107246. https://doi.org/10.1016/j.chb.2022.107246
- Li, X., & Chen, Y. (2024). Students’ perceptions: Exploring the interplay of ethical and sociotechnical implications of analytics-based AI tools in education. International Journal of Artificial Intelligence in Education. https://doi.org/10.1007/s40593-024-00456-4
- Long, D. Y., Wang, S., & Lu, X. T. (2025). Artificial Intelligence (AI) in higher education (AIHE): A systematic review of their impact on student engagement and the mediating role of teaching methods. Frontiers in Education, 10, 1648661. https://doi.org/10.3389/feduc.2025.1648661
- Lickona, T. (1996). Eleven Principles of Effective Character Education. Journal of Moral Education, 25(1), 93–100. https://doi.org/10.1080/0305724960250110
- MDPI Editorial Team. (2025). Systematic Review of AI in Education: Trends, Tools, and Future Research Directions. Multimodal Technologies and Interaction, 9(8), 84. https://doi.org/10.3390/mti9080084
- Manongga, D. (2022). Strengthening Teachers' Digital Literacy in Facing AI-Based Learning Transformation. Journal of Technology and Education, 20(2), 50–65. https://doi.org/10.21831/jtp.v20i2.51810
- Muttaqin, A., Sari, D., & Harahap, Z. (2023). Digital Divide and AI Access in Indonesia's 3T Regions. Journal of Education and Culture, 8(3), 190–205. https://doi.org/10.24832/jpk.v8i3.3023
- Newman, M., & Gough, D. (2019). Systematic Reviews in Educational Research. Springer. https://doi.org/10.1007/978-3-658-27602-7_1
- Nguyen, K. V. (2025). The Use of Generative AI Tools in Higher Education: Ethical and Pedagogical Principles. AI & Society. https://doi.org/10.1007/s10805-025-09607-1
- Nurlaili, N., & Utami, D. (2023). Students' perceptions of the use of artificial intelligence in learning in the digital age. Journal of Educational Innovation, 8(2), 122–131. (SINTA 2) https://doi.org/10.21009/jip.8.2.122
- Putri, A. S., & Hidayat, R. (2023). Artificial Intelligence in personalised learning: A study of student motivation and learning outcomes in higher education. Journal of Educational Research and Technology, 5(1), 45–56. (Scopus-indexed) https://doi.org/10.1016/j.jert.2023.05.004
- Purwanto, N. (2008). Educational Research Methodology. Bandung: PT Remaja Rosdakarya.
- Rahman, M. (2021). Academic Integrity in the Age of Artificial Intelligence. Journal of Ethics in Education, 16(2), 201–215. https://doi.org/10.1007/s10805-021-09473-8
- Ridwana, A., Sitompul, P. A., Zalfana, Z. H., & Lubis, M. J. (2025). Implementation of artificial intelligence in Indonesian universities: Level of application, student involvement, and challenges. Indonesian Journal of Education and Development Research, 3(2), 44–56. https://doi.org/10.57235/ijedr.v3i2.5796
- Ridwana, A., et al. (2025). AI Governance and Professional Ethics for Educators. Journal of Educational Technology Ethics, 3(1), 15–30.
- Samsuddin, N., Yusof, N., & Ahmad, S. (2022). AI-Driven Learning Analytics to Enhance Student Motivation. Asian Journal of Education and Training, 8(3), 158–166. https://doi.org/10.20448/journal.522.2022.83.158.166
- Seetsa, M., & Mokala, M. (2025). Reflexivity and Transparency in Qualitative Systematic Reviews: A Practical Guide. Noyam Journal of Social Sciences, 10(1), 10–22. https://doi.org/10.47883/njss.v10i1.983
- Sihaloho, F. A., & Napitupulu, Z. (2024). AI in education: Challenges and opportunities for character-centred pedagogy in Indonesian higher education. REKOGNISI: Journal of Education and Teacher Training, 9(1), 21–33. (SINTA 2) https://doi.org/10.31219/osf.io/zmnq4
- Taruklimbong, L., Hutapea, J., & Tobing, P. (2023). Teacher Readiness in Implementing AI-Based Learning in Indonesia. Journal of Education and Teaching, 56(2), 225–240. https://doi.org/10.23887/jpp.v56i2.61300
- Turing, A. M. (1950). Computing Machinery and Intelligence. Mind, 59(236), 433–460. https://doi.org/10.1093/mind/LIX.236.433
- UNESCO. (2023). AI and Education: Guidance for Policymakers. Paris: UNESCO Publishing. https://unesdoc.unesco.org/ark:/48223/pf0000376702
- Vieriu, A. M., & Petrea, G. (2025). The impact of artificial intelligence (AI) on students’ academic development. Education Sciences, 15(3), 343. https://doi.org/10.3390/educsci15030343
- Wang, Q., Chen, M., & Xu, T. (2024). Artificial intelligence in education: Systematic literature review (2015–2023). Expert Systems with Applications, 235, 121149. https://doi.org/10.1016/j.eswa.2024.121149
- Wulandari, P., Savitri, H. R., Rahmawati, S., & Zakaria, M. (2024). Artificial intelligence in higher education: Bridging the digital divide among Indonesian students. Proceedings of ICOERESS 2024, 239–248. https://icoeress.pascasarjana.uinjambi.ac.id/ojs/index.php/icoeress/article/view/16
- Zahara, D., Kusuma, H., & Pratama, R. (2023). AI Applications and Lifelong Learning Opportunities for Students. Journal of Educational Technology, 40(4), 505–522. https://doi.org/10.1080/02680513.2023.2231542
- Zulfikar, T., & Arifin, M. (2022). Resilience and moral character education in the age of digital disruption: A framework for Indonesian higher education. Studies in Higher Education, 47(12), 2520–2534. https://doi.org/10.1080/03075079.2022.2112027