Automated Long Answer Grading with RiceChem Dataset | allainews.com

April 23, 2024, 4:50 a.m. | Shashank Sonkar, Kangqi Ni, Lesa Tran Lu, Kristi Kincaid, John S. Hutchinson, Richard G. Baraniuk

cs.CL updates on arXiv.org arxiv.org

arXiv:2404.14316v1 Announce Type: new
Abstract: We introduce a new area of study in the field of educational Natural Language Processing: Automated Long Answer Grading (ALAG). Distinguishing itself from Automated Short Answer Grading (ASAG) and Automated Essay Grading (AEG), ALAG presents unique challenges due to the complexity and multifaceted nature of fact-based long answers. To study ALAG, we introduce RiceChem, a dataset derived from a college chemistry course, featuring real student responses to long-answer questions with an average word count notably …

arxiv automated cs.cl dataset type

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