METHODS FOR ANALYZING INDEPENDENT WORK PERFORMANCE USING ARTIFICIAL INTELLIGENCE: ON THE EXAMPLE OF THE DIRECTION OF PEDAGOGY
Keywords:
Artificial Intelligence, Independent Work, PedagogyAbstract
This article explores the application of Artificial Intelligence (AI) techniques to analyze and enhance the performance of independent student work in pedagogical settings. We delve into the challenges of traditional assessment methods and propose AI-powered solutions, including automated essay grading, plagiarism detection, personalized learning pathways, and performance prediction. We discuss the potential benefits of AI in improving student learning outcomes, providing timely feedback, and identifying areas for individual improvement. The article concludes by emphasizing the ethical considerations and the importance of human oversight in the implementation of AI-driven assessment systems.
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