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Artificial Intelligence Perception Acceptance Evaluation Model: Indonesian Students Perspective

  • Jun 17, 2026
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Abstract Book of the 11th International Conference on Advanced Research in Education, Teaching and Learning

Year: 2026

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Artificial Intelligence Perception Acceptance Evaluation Model: Indonesian Students Perspective

Rikardus Feribertus Nikat, Rikardus Feribertus Nikat, Dedi Kuswandi, Marianus Yufrinalis, I Gede Purwana, Wahyu Pratama

ABSTRACT:

This research investigated the acceptance of artificial intelligence among university students in Indonesian higher education, while delineating the primary factors shaping this acceptance. In particular, it scrutinizes the in-fluence of perceived usefulness, perceived ease of use, behavioral intention, and ethical concerns on students’ attitudes toward AI-enabled academic tools. Anchored in the Technology Acceptance Model (TAM), the frame-work is extended through the integration of ethical considerations as a salient contextual moderator for AI adoption in educational contexts. A quantitative cross-sectional survey was administered of students from diverse public and private universities throughout Indonesia. Data was gathered via a validated questionnaire employing a five-point Likert scale, with data subjected to Structural Equation Modeling analysis. In total, 180 valid responses were retained for the final dataset. Results indicate that perceived ease of use substantially predicts perceived usefulness, which robustly forecasts students’ behavioral intention to utilize AI. Behavioral intention, in turn, exerts a positive and significant effect on overall AI acceptance. Ethical concerns emerge as a moderator, whereby elevated ethical awareness engenders more tempered acceptance of AI technologies. This Research con-tributes theoretically by extending the TAM framework within the context of AI in higher education, particularly in a developing country setting. Practically, the findings provide evidence-based insights for university institution and educators to design AI literacy programs, develop ethical guide-lines, and create supportive learning environments that promote responsible and effective use of AI in higher education.

Keywords: Artificial Inteligence; TAM Evaluation; Students Perception; Higher Education