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All Journal Information Technology Education Journal Journal of Applied Artificial Intelligence in Education
Muh. Akbar
Universitas Negeri Makassar
Computer Science & IT Education

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How AI Personalization and Feedback Shape Student Engagement: The Mediating Role of Technology Engagement Ahmad Abdullah Aswad; Tegar Angbirah Parerungan; Elma Nurjannah; Muh. Akbar
Journal of Applied Artificial Intelligence in Education Vol 1, No 2 (2026): January 2026
Publisher : Academic Bright Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66053/jaaie.v1i2.8

Abstract

Higher education is rapidly adopting AI-supported learning systems, yet the effectiveness of these tools depends on how students engage with them psychologically, not merely on their availability. However, mere access to AI tools does not automatically translate into meaningful student engagement, indicating a psychological “adoption gap” between technology availability and learners’ active involvement. This study aims to test how key AI features AI usage, personalization/adaptivity, and feedback/analytics relate to student engagement, while examining technology engagement as a mediating mechanism that explains how AI features become educationally effective. Using a quantitative, non-experimental cross-sectional survey of 71 undergraduate students in Eastern Indonesia, the proposed model was analyzed using PLS-SEM (SmartPLS 4) to estimate direct and indirect effects. The model demonstrated strong predictive power, explaining 74.4% of the variance in technology engagement (R² = 0.744) and 66.4% in student engagement (R² = 0.664). AI personalization/adaptivity emerged as the strongest driver, significantly predicting technology engagement (β = 0.516, p < 0.001) and also exerting a significant direct effect on student engagement (β = 0.310, p = 0.010), whereas AI usage and feedback did not show significant direct effects on student engagement but exhibited significant indirect effects through full mediation by technology engagement. These findings imply that technology engagement functions as a “gatekeeper”: institutions should prioritize adaptive personalization and deliberately cultivate students’ sense of control, competence, and psychological involvement with AI systems, rather than relying on high usage intensity or automated feedback alone to drive engagement.
The Pengembangan Aplikasi Notes Berbasis Android dengan Model Waterfall Muh. Akbar; Muh Ikhwan Yusrah Yusuf; Andi Sarifa Sa itri Bachmid; Fitra Yusuf; Nurul Fadli; Ahmad Rifaldi
Information Technology Education Journal Vol. 3, No. 3, September (2024)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/intec.v3i3.5926

Abstract

Di era digital, aplikasi notes berbasis Android menjadi solusi praktis untuk menyimpan dan mengatur informasi penting, baik dalam konteks personal maupun profesional. Penelitian ini menggunakan metode pengembangan perangkat lunak model Waterfall yang terdiri dari lima tahap: analisis kebutuhan, desain sistem, implementasi, pengujian, dan pemeliharaan. Aplikasi yang dikembangkan memungkinkan pengguna untuk membuat, mengedit, dan menghapus catatan dengan mudah, serta menambahkan fitur pengingat untuk mengatur tugas dan jadwal. Dengan antarmuka yang intuitif dan fitur yang dirancang untuk kemudahan penggunaan, aplikasi ini memberikan kemudahan akses informasi kapanpun dan dimanapun. Hasil pengujian menunjukkan bahwa aplikasi memenuhi kebutuhan pengguna secara efisien dan efektif. Penelitian ini memberikan kontribusi pada pengembangan aplikasi berbasis Android sebagai alat produktivitas yang relevan dalam masyarakat modern.
Co-Authors Ahmad Abdullah Aswad Ahmad Rifaldi Andi Sarifa Sa itri Bachmid Elma Nurjannah Fitra Yusuf Muh Ikhwan Yusrah Yusuf Nurul Fadli Tegar Angbirah Parerungan