The Effect of Hybrid Ai-Human Cybercounseling on Academic Burnout and Psychological Well-Being Pengaruh Hybrid Ai-Human Cybercounseling Terhadap Academic Burnout Dan Psychological Well-Being
Main Article Content
Abstract
Global students face a mental health crisis driven by academic pressure and uncertainty about the future, increasing their vulnerability to burnout and decreasing their psychological well-being. The service gap in Indonesia, with a counselor-to-student ratio of 1:700, urges the need for innovative solutions such as artificial intelligence (AI)-based cybercounseling. A hybrid AI-human counselor model promises effectiveness and scalability, but its impact on academic burnout and psychological well-being in the Indonesian context has not been thoroughly tested.
This quasi-experimental pretest-posttest study involved 50 students from the Guidance and Counseling Department at Pancasakti University in Tegal. The experimental group received hybrid AI-human cybercounseling intervention (4 sessions/2 weeks), while the control group received conventional cybercounseling. Instruments: Maslach Burnout Inventory–Student Survey (MBI-SS) and Ryff Psychological Well-Being Scale. Data were analyzed using paired-sample t-test and ANCOVA, enriched with qualitative interviews.
The experimental group showed a significant decrease (*p* < 0.01) in burnout scores (MBI-SS) of 27% (Pretest: 68.20 ± 6.1; Posttest: 49.85 ± 5.3) and an increase in psychological well-being scores of 20. 7% (Pretest: 54.10 ± 7.5; Posttest: 65.30 ± 6.2). The control group did not show significant changes. Qualitative analysis revealed the mechanisms of success: (1) flexibility of time and 24/7 access through AI, (2) emotional validation and reflective deepening by human counselors, and (3) increased psychological safety. As many as 88% of participants expressed a desire to continue using the hybrid service.
Hybrid AI-human cybercounseling has proven effective in significantly reducing academic burnout and improving students' psychological well-being, with high acceptance rates. This model addresses service gaps in Indonesia by combining the efficiency of AI with the depth of human intervention, offering a scalable, affordable, and sustainable solution to the student mental health crisis.
Article Details

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
CONS-IEDU memberikan akses terbuka kepada siapa saja sehingga informasi dan temuan dalam artikel ini bermanfaat bagi semua orang. Konten artikel jurnal ini dapat diakses dan diunduh secara gratis, tanpa dipungut biaya, mengikuti creative commons license yang digunakan.
CONS-IEUD: Jurnal Program Studi Bimbingan dan Konseling Islam berlisensi Creative Commons Attribution-ShareAlike 4.0 International License.
References
Graffigna, G., Morse, J., & Albino Claudio, B. (2012). ENGAGING PEOPLE IN HEALTH PROMOTION & WELL BEING New opportunities and challenges for qualitative research Proceedings of the 2 nd Global Congress for Qualitative Health Research.
Hobfoll, S. (1989). Conservation of resources. A new attempt at conceptualizing stress. The American psychologist, 44 3, 513–524. https://doi.org/10.1037/0003-066X.44.3.513
Huang, Y.-C., & Lin, S.-H. (2014). Life stress and academic burnout. Active Learning in Higher Education, 15, 77–90. https://doi.org/10.1177/1469787413514651
Luxton, D. D. (2014). Artificial intelligence in psychological practice: Current and future applications and implications. Professional Psychology: Research and Practice, 45, 332–339. https://api.semanticscholar.org/CorpusID:140118400
Maples, M. F., & Han, S. (2008). Cybercounseling in the United States and South Korea: Implications for counseling college students of the millennial generation and the networked generation. Journal of Counseling and Development, 86(2), 178–183. https://doi.org/10.1002/j.1556-6678.2008.tb00495.x
Morse, S. (2021). The Structure, Function, and Future of Mental Health Law. Perspectives in Biology and Medicine, 64, 56–69. https://doi.org/10.1353/pbm.2021.0005