Beyond the Hype: Critical Analysis of Student Motivations and Ethical Boundaries in Educational AI Use in Higher Education

The rapid integration of generative artificial intelligence (AI) in higher education since ۲۰۲۳ has outpaced institutional preparedness, creating a persistent gap between student practices and established ethical standards. This paper draws on mixed-method surveys and a focused literature review to examine student motivations, ethical dilemmas, gendered responses, and institutional readiness for AI adoption. We find that ۹۲% of students use AI tools primarily to save time and improve work quality, yet only ۳۶% receive formal guidance, producing a de facto 'shadow pedagogy' of unguided workflows. Notably, ۱۸% of students claimed to integrate AI-constructed material into assignments, which suggests confusion about integrity expectations and compromises the integrity of the assessment. Female students were more worried about abuse and distortion of information than male students, revealing a gendered difference in awareness of risk and AI literacies. Correspondingly, ۷۲% of educators use AI, but just ۱۴% feel at ease doing so, and this signifies restricted training and uneven policy responses. We argue that institutions must adopt comprehensive AI literacy programs that integrate technical skills and ethical reasoning, alongside clear AI-use policies and assessment practices that promote transparency. The paper proposes an Ethical AI Integration Model centered on literacy, gender-inclusive support, and assessment redesign to guide responsible adoption, protect academic integrity, and foster equitable educational outcomes in an AI-driven landscape.

کلیدواژه ها:

Generative AI in Higher Education ، Academic Integrity and AI ، Student AI Motivations ، Gender Disparities in AI Adoption