Using AI for student’s evaluation: Opportunities and Challenges
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Abstract
This study examines the philosophical, psychological, and administrative aspects of integrating artificial intelligence (AI) for student assessment and evaluation in India's higher education system. Through qualitative interviews with educators at an urban university, the research explores AI's potential to enhance fairness and efficiency in grading while also investigating concerns about its limitations in assessing creativity and critical thinking. The psychological impacts on students and teachers are analyzed, including AI's ability to provide rapid feedback but potential lack of emotional engagement. Administrative challenges like the digital divide, costs, and ethical issues around data privacy and algorithmic bias are also evaluated. While AI offers significant opportunities to streamline assessment processes and provide personalized learning, its implementation faces obstacles related to infrastructure, training, and equitable access, particularly in rural areas. The study concludes that thoughtful integration of AI, with clear ethical guidelines, is needed to leverage its benefits while preserving essential human elements of education. This research contributes localized insights on AI adoption in India's diverse educational landscape to inform policy and practice.
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References
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