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Students’ perceptions and responsible adoption of artificial intelligence in education: Ethical considerations, impacts, and academic performance

2026·0 Zitationen·International Journal of Applied Resilience and SustainabilityOpen Access
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Abstract

The adoption of Artificial Intelligence in Education, specifically Generative AI in Education, has generated considerable opportunities to enhance the results of learning and at the same time has raised the issue of AI Ethics in Education, Academic Integrity, and the responsible use of intelligent technologies. This research paper is a Systematic Literature Review seeks to determine the perceptions of artificial intelligence by students, the effects that ethical issues have on the use of AI, and the impact that AI has on the learning experience in various academic settings. According to the PRISMA protocol, the major academic databases were searched with the help of the keywords related to AI Literacy, Educational Technology, Human-AI Collaboration, Technology Acceptance Model, and Personalized Learning. The identified articles were added to the selected studies after passing the eligibility test to discover tendencies in Smart Learning Environments, AI Governance, Educational Data Privacy, and AI-Supported Learning. The analysis has shown that students, on the whole, express positive attitude to AI because of increased efficiency, adaptive feedback and increased engagement, but also indicate issues with over-reliance, bias, transparency and ambiguous institutional policies. It is also evidenced that the responsible use of AI with the help of ethical guidelines and Explainable AI is closely linked to better academic outcomes and increased confidence in learners. The review concludes that the sustainable introduction of AI into the educational process necessitates the enhancement of AI Policy in Education and ethical awareness as well as the establishment of sound AI Literacy patterns.

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Artificial Intelligence in Healthcare and EducationOnline Learning and AnalyticsEthics and Social Impacts of AI
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