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All Journal Mattawang: Jurnal Pengabdian Masyarakat Vokatek : Jurnal Pengabdian Masyarakat Journal of Embedded Systems, Security and Intelligent Systems Journal of Vocational, Informatics and Computer Education Indonesian Technology and Education Journal Jurnal MediaTIK Jurnal MEKOM: Media Komunikasi Pendidikan Kejuruan Journal of Renewable Energy and Smart Device Innovation and Applied Education Journal
Pramudya Asoka Syukur
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Humanities Computer Science & IT Education Electrical & Electronics Engineering Engineering Public Health Social Sciences Other

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The Role of Anthropomorphism in Shaping Students’ Emotional Attachment to AIED: A Triangular Theory of Love Approach and PLS-SEM Analysis in Makassar Universities Asmi Ulfiah; Mappaita, Al Haytsam; Aprilianti Nirmala S; Pramudya Asoka Syukur; Andi Baso Kaswar; Riyama Ambarwati
Journal of Vocational, Informatics and Computer Education Vol 3, No 2 (2025): Desember 2025
Publisher : PT. Lontara Digitech Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61220/pkd1h154

Abstract

In the digital learning era, Artificial Intelligence in Education (AIED) functions not only as an academic support tool but is also becoming an object of emotional attachment among students. While such attachment may enhance learning motivation, it also raises concerns about emotional dependence and its implications for students’ social and emotional well-being. This study investigates the effects of commitment, enthusiasm, emotional closeness, and anthropomorphic perceptions on students’ emotional dependence on AIED. A quantitative cross-sectional survey was conducted with 109 university students in Makassar using a 1–5 Likert-scale questionnaire. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The structural model explained 62.7% of the variance in emotional dependence on AI (R² = 0.627), indicating moderate to strong explanatory power. Emotional closeness (β = 0.324; t = 2.893; p = 0.004) and anthropomorphic perception (β = 0.440; t = 4.871; p < 0.001) significantly increased emotional dependence, whereas commitment to continued AI use (β = 0.092; t = 0.883; p = 0.377) and enthusiasm toward AI (β = 0.081; t = 0.901; p = 0.367) were not significant predictors. These findings suggest that emotional dependence is driven more by affective engagement and the perception of AI as socially human-like than by cognitive motivation or usage intention. AIED interaction therefore extends beyond functional support into a relational experience resembling interpersonal connection. Given the limited geographic scope, future studies should involve broader populations and employ mixed-method approaches to deepen understanding of emotional dynamics in AIED use.
Co-Authors Akis, Dwi Ihza Sari Aminuddin, Amin Andi Baso Kaswar Andi Baso Kaswar Andi Dio Nurul Awalia Annajmi Rauf Aprilianti Nirmala S Arsyanda Asham Bin Jamaluddin Asmi Ulfiah Dahniar Darwis, Muhammad Ridha Devi Miftahul Jannah Elma Nur Jannah Fadhel Akbar Fathur Rahman Izzaturrahman Kurnia Prima Putra Linggi, Cantika Randa M. Miftach Fakhri Mahardika, Ananta Tri Mappaita, Al Haytsam Muh. Rahmat Wahyudi JY Muhalim Muhammad Iqram Nur Amalia Ramadhan Nur Annafiah Nur Fadhylah As Nurmila Nurul Islamia Riyama Ambarwati Sofyan, Vina Annisa SRI RAHAYU Vina Annisa Sofyan Wahyu Hidayat M