Automated Students' Short Answers Grading using Language Models
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Abstract
Methods for assessing student answers using language models are currently being studied by various specialists. The results of automated assessment depend on the subject area and characteristics of the academic discipline. This paper analyzes the students’ answers received during the course «Computer Graphics and Design». It is proposed to determine the cosine similarity of document vectors obtained using language models and refine the estimates by checking keywords. The results obtained can be used for preliminary assessment of students' answers and are the basis for further research.
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References
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