3.8 Proceedings Paper

Can Short Answers to Open Response Questions Be Auto-Graded Without a Grading Rubric?

期刊

ARTIFICIAL INTELLIGENCE IN EDUCATION, AIED 2017
卷 10331, 期 -, 页码 594-597

出版社

SPRINGER INTERNATIONAL PUBLISHING AG
DOI: 10.1007/978-3-319-61425-0_72

关键词

Auto-grading; SVM; LSTM; Short-answer

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Auto-grading short-answers seems to be sufficiently resolved. However, most auto-graders require comprehensive scoring rubrics, which were not always available. This paper used modern machine learning techniques to build auto-graders without expressly defining the rubrics. The result shows that the best auto-grading model is able to achieve a good inter-rater agreement (kappa = 0.625) with expert grading. The agreement can be further improved (kappa = 0.726) if the auto-grading model gave up scoring some of the answers.

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