USING ARTIFICIAL INTELLIGENCE TO EVALUATE UNIVERSITY STUDENTS’ INDEPENDENT WORK, HOMEWORK, AND ASSESSMENTS
Keywords:
Artificial Intelligence (AI), Student Evaluation, Independent Work, Homework Assessment, Automated Grading, Educational Technology, Machine Learning, Academic Integrity, Personalized Feedback, Data Privacy.Abstract
This article explores the application of artificial intelligence (AI) in evaluating university students’ independent work, homework, and assessments. It highlights the benefits of AI such as improved grading efficiency, consistency, scalability, and personalized feedback. The article also discusses challenges including algorithmic bias, data privacy concerns, and the importance of maintaining human oversight. Current implementations and future prospects of AI in education are examined, emphasizing the potential to transform traditional assessment methods and enhance learning outcomes.
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