Artificial Intelligence in Educational Technology: A Systematic Review of Pedagogical Opportunities, Implementation Challenges, and Ethical Considerations
DOI:
https://doi.org/10.46328/ijonse.5974Keywords:
artificial intelligence, educational technology, generative AI, ethical standards, systematic reviewAbstract
This systematic review examines the role of artificial intelligence (AI) in educational technology through an analysis of peer-reviewed literature published between 2020 and 2025. Drawing on 65 empirical, theoretical, and review studies retrieved from Web of Science, Scopus, and ERIC, the review explores three core dimensions: the opportunities AI offers for enhancing teaching and learning, the challenges associated with its integration, and the ethical standards required for responsible implementation. The findings reveal that AI has significantly advanced educational practice through personalized and adaptive learning systems, intelligent tutoring, automated assessment, and content generation tools. However, the integration of AI also presents substantial challenges, including data privacy concerns, algorithmic bias, inequitable access, and insufficient faculty preparedness. Ethical considerations, such as transparency, accountability, and fairness, are considered critical for ensuring the trustworthy and sustainable deployment of AI in educational contexts. Overall, the review underscores that while AI has transformative potential to redefine learning and teaching, its benefits can only be fully realized through ethically grounded and pedagogically sound adoption strategies.
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