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Author

A. Mailangkay

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Conference Open access Aug 2026

XAI-AGLearn: Toward Negotiable Personalization in Explainable Adaptive Gamified Learning Systems

Adaptive learning systems, powered by AI, are proficient at personalizing educational material and remain opaque in their judgment; adding gamification increases engagement, but it is mostly implemented in a one-size-fits-all manner; and Explainable AI (XAI) continues to evolve, but has yet to be systematically integra...

Wesley Nathanael Tjindrawan, Sasmoko, A. Mailangkay · 0 citations
Conference Open access Aug 2026

Expectation–Confirmation and Satisfaction in E-Learning Continuance

The study ecplores the main determinants of students’ satisfaction and their willingness to maintain e-learning use in Indonesian higher education institutions. Based on the Expectation–Confirmation Model (ECM), the study extends the framwork by incorporating information quality from the Information Systems Success Mod...

Ivena Milewis, A. Mailangkay · 0 citations
Conference Open access Aug 2026

An Empirical Study of Students’ Intention to Use AI Chatbots for Academic Assistance

AI based technology chatbots are becoming increasingly important at universities and educational institutions because they can assist students with various academic tasks. This technology helps students complete academic assignments more effectively, facilitates the generation of ideas, and provides quick access to inf...

Tashya Putri Bangun, Andi Muhammad Ilham Darajat, A. Mailangkay · 0 citations
Conference Open access Aug 2026

Predicting Quotation Success Based on Historical Project Data in Aluminum SMEs Using Classification Algorithms

Small and medium enterprises (SMEs) in Indonesia's B2B aluminum and glass construction sector convert only 13–15% of their quotations, which means most of the pre-bid work on site assessment, costing, and proposal preparation produces no revenue. Machine learning has performed well at predicting B2B sales outcomes in l...

Brandon Axel Angkasa, A. Mailangkay · 0 citations
Conference Aug 2026

Moral-Technical Relationship: A Structural Analysis of Trust and Academic Integrity as Predictors of Generative AI Adoption in Higher Education

Generative AI has become a powerful tool in higher education, helping students and researchers work more efficiently. However, this rapid adoption raises important questions about how users view AI ethics and trust. This study investigates what actually drives AI adoption among students, researchers, and lecturers in I...

M. Naufal, A. Mailangkay · 0 citations

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