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Student Perceptions of Generative AI in Personalized Distance Learning: The Moderating Effects of Usage Frequency and Faculty Encouragement

2025·0 Zitationen·Journal of interdisciplinary perspectivesOpen Access
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2025

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Abstract

As generative artificial intelligence (GAI) tools such as ChatGPT, Grammarly, and Quillbot become increasingly embedded in digital education, understanding how students perceive their role in personalized distance learning, across both asynchronous and synchronous modes, remains crucial. Anchored in Sustainable Development Goal 4 (SDG 4), which promotes inclusive and equitable quality education and lifelong learning opportunities for all, this study investigates how GAI utilization relates to students’ perceptions of usefulness, motivational impact, and ethical implications. It also examines whether usage frequency and faculty encouragement moderate these relationships. Using a descriptive-correlational design with moderation analysis, data were collected from 327 undergraduate students at Tagoloan Community College through a validated questionnaire (CVI = 0.94). Overall, findings revealed that students perceived GAI as highly beneficial for learning and self-motivation, reflecting growing confidence in using AI responsibly. Results from General Linear Modeling indicated that GAI utilization was a significant predictor of students’ perceptions (F = 169.32, p < .001, η²ₚ = .345), suggesting that direct engagement with AI tools strongly shapes educational value and learning experiences. However, neither usage frequency (F = 0.99, p = .396) nor faculty encouragement (F = 0.75, p = .475) significantly moderated this relationship. Interestingly, despite limited faculty support (11.3%) and the predominant use of ChatGPT (96.9%), students demonstrated ethical awareness through responses that emphasized citation practices, verification of AI-generated outputs, and the avoidance of plagiarism, indicating reflective and responsible learning behaviors. These findings highlight the primacy of student agency over institutional influence in fostering meaningful AI engagement. The study recommends that educators and institutions implement structured, ethical, and student-centered integration of AI tools into curricula through digital literacy workshops, academic integrity guidelines, and scaffolded AI-supported learning tasks to enhance autonomy, critical engagement, and responsible technology use, aligned with the objectives of SDG 4.

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Artificial Intelligence in Healthcare and EducationAI in Service InteractionsEthics and Social Impacts of AI
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