August 4, 2025

The Impact of Generative AI on Academic Integrity and Student Engagement in Higher Education: A Mixed-Methods Study

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Mixed-methods research shows how generative AI affects academic integrity and engagement in students, indicating emerging ethical concerns.

Generative AI tools significantly enhanced student engagement, with motivation scores improving by 15-20% based on adaptive use.
82% of students reported using generative AI tools for tasks, raising concerns as 65% feared undetected plagiarism issues.
Qualitative themes revealed ethical dilemmas tied to reduced critical thinking influenced by generative AI reliance.
Institutional policy gaps highlighted, with only 12% of students aware of AI guidelines, stressing the need for AI literacy training.

Zaid Khrisat (2025) studied this question.

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Mixed-methods research shows how generative AI affects academic integrity and engagement in students, indicating emerging ethical concerns.