Evaluating large language models for AI-assisted grading: a framework and case study in higher education
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Researchers are exploring the use of large language models for ai-assisted grading in higher education, with various studies and frameworks being developed and tested. The applications of these models include identifying at-risk students, collaborative marking, and personalized education assessment. Different studies are investigating the benefits and risks of using ai in education, with some focusing on specific fields such as engineering and business education.
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