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All Journal Jurnal Pendidikan Terapan Journal of Embedded Systems, Security and Intelligent Systems Journal of Vocational, Informatics and Computer Education Jurnal Kemitraan Responsif untuk Aksi Inovatif dan Pengabdian Masyarakat Journal of Digital Technology and Computer Science Innovation and Applied Education Journal Journal of Applied Artificial Intelligence in Education
Aprilianti Nirmala S
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Humanities Computer Science & IT Education Electrical & Electronics Engineering Engineering Environmental Science Social Sciences Other

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Journal : Journal of Vocational, Informatics and Computer Education

 1 
Analisis  Model UTAUT Untuk Mengetahui Tingkat Penerimaan Teknologi Mahasiswa Pada Aplikasi Kahoot Fitri Amaliyah Batubara; Sitti Hajerah Hasyim; Aprilianti Nirmala S; Nurzabrina Anugrani; Ahmad Luthfi; Ibrahim Al khalil
Journal of Vocational, Informatics and Computer Education Vol 2, No 1 (2024): Juni 2024
Publisher : PT. Lontara Digitech Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61220/voice.v2i1.30

Abstract

Teknologi dan internet telah menjadi pendorong utama dalam globalisasi pendidikan, memungkinkan adopsi platform pembelajaran online seperti Kahoot. Penelitian ini menggunakan Model Unified Theory of Acceptance and Use of Technology (UTAUT) sebagai kerangka kerja untuk menganalisis penerimaan dan penggunaan aplikasi Kahoot oleh mahasiswa di Universitas Negeri Makassar. Metode penelitian yang diterapkan adalah pendekatan kuantitatif dengan menggunakan desain cross-sectional, dan data dikumpulkan melalui kuesioner dari 76 responden.Hasil penelitian mengungkapkan bahwa mahasiswa menunjukkan respon positif terhadap manfaat dan kemudahan penggunaan Kahoot. Namun, terdapat variabilitas dalam pandangan terkait dukungan lingkungan, persepsi guru, dan niat pengguna, menggambarkan kompleksitas adopsi teknologi ini di lingkungan pendidikan. Rekomendasi penelitian mencakup pengembangan dukungan lingkungan yang lebih baik, pelatihan bagi dosen dan mahasiswa, serta evaluasi infrastruktur teknologi guna meningkatkan efektivitas pemanfaatan Kahoot dan teknologi pembelajaran di Universitas Negeri Makassar. Temuan ini memberikan wawasan berharga untuk pengembangan pendidikan berbasis teknologi dan inovasi di era digital.
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 Ahmad Luthfi Ahmad Siddiq Mappatunru Amelia Syamsuddin Andi Baso Kaswar Andi Baso Kaswar Andi Dio Nurul Awalia Asmi Ulfiah Della Fadhilatunisa Devi Miftahul Jannah Elma Nurjannah Fitri Amaliyah Batubara Ibrahim Al khalil Jannah, Devi Miftahul Kurnia Wahyu Prima La Ode Lisbar M. Miftach Fakhri Mappaita, Al Haytsam Melda Auliyah Zakina Muarsiyah Waddah Muh Rezky Awal Mushaf Nabilah Auliah Rahman Nur Annafiah Nur Yahya Akhmad Nurrahmah Agusnaya Nurzabrina Anugrani Pramudya Asoka Syukur Riyama Ambarwati Saipul Abbas Shofiyah Rosyadah Sitti Hajerah Hasyim Wahyu Amal Imran