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International Journal of Educational Technology and Artificial Intelligence
Published by CV. TOPAZART
ISSN : -     EISSN : 29645387     DOI : -
Core Subject : Science, Education,
Computer Science & IT Languange, Linguistic, Communication & Media Other
The International Journal of Educational Technology and Artificial Intelligence (IJETAI) is an open-access peer-reviewed journal that publishes articles that contribute new results in all educational technology and artificial intelligence areas. This journal aims to bring together researchers and practitioners from academia and industry to focus on understanding recent developments in this area and establishing new collaborations in these areas. It aims to provide an international forum to exchange ideas and findings from researchers across different fields and encourages research on artificial intelligence and educational technology, including theory and practice. It also seeks to promote knowledge transfer between professionals in academia and industry by emphasizing research in which results are of interest or applicable to design practices. Areas Covered: Educational Technology and Artificial Intelligence
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 42 Documents
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Ethical Research Using Artificial Intelligence: Principles, Challenges, and Best Practices Liu Liu; Joy Chen
International Journal of Educational Technology and Artificial Intelligence Vol. 4 No. 2 (2025): Trends in Educational Technology and Artificial Intelligence
Publisher : TOPAZART

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Artificial Intelligence (AI) has transformed the research landscape by enabling large-scale data analysis, process automation, pattern recognition, and predictive modeling across diverse academic disciplines. However, the increasing integration of AI into research introduces significant ethical challenges, including algorithmic bias, lack of transparency, data privacy, accountability, intellectual property, and potential misuse of automated systems. This paper examines the ethical dimensions of AI-driven research by reviewing existing ethical frameworks, empirical studies, and practical case examples concerning the responsible use of AI in academic research. The study identifies key principles required to promote responsible AI adoption, including fairness, transparency, explainability, privacy protection, human oversight, accountability, and inclusivity. Based on these findings, the paper proposes a structured ethical governance model that can guide researchers and institutions in assessing, implementing, and monitoring AI technologies throughout the research process. The proposed model emphasizes human-centered decision-making and continuous ethical evaluation to ensure that technological innovation contributes to scientific advancement without compromising human rights, equity, research integrity, or public trust.
Exploring Instagram as an Educational Tool: Student Insights and Perspectives Angelo Bautista; Sofia Reyes
International Journal of Educational Technology and Artificial Intelligence Vol. 4 No. 2 (2025): Trends in Educational Technology and Artificial Intelligence
Publisher : TOPAZART

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Social media platforms have increasingly become integrated into students’ everyday lives and have created new opportunities for educational communication and learning. Instagram, in particular, provides visual, interactive, and accessible features that can support knowledge sharing, student engagement, and informal learning. This study explores students’ insights and perspectives regarding Instagram as an educational tool. A mixed-method approach combines quantitative questionnaire data with qualitative responses concerning students’ experiences, perceived benefits, challenges, and preferences regarding Instagram-based learning activities. Previous studies indicate that Instagram can support student engagement, communication, motivation, and participation when strategically integrated into educational activities [1]–[4]. However, social-media-based learning also presents challenges related to distraction, privacy, information credibility, digital literacy, and pedagogical appropriateness [5]–[8]. This study focuses on accessibility, visual learning, interaction, motivation, information credibility, and responsible use. The findings provide practical insights for educators seeking to integrate Instagram into formal and informal learning environments while maintaining academic quality and meaningful student engagement.

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