文章基本信息

标题：Computer-Automated Approach for Scoring Short Essays in an Introductory Statistics Course
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作者：Whitney Alicia Zimmerman ; Hyun Bin Kang ; Kyung Kim 等
期刊名称：Journal of Statistics Education
电子版ISSN：1069-1898
出版年度：2018
卷号：26
期号：1
页码：40-47
DOI：10.1080/10691898.2018.1443047
出版社：American Statistical Association
摘要：Whitney Alicia Zimmerman a * , Hyun Bin Kang a , Kyung Kim b , Mengzhao Gao a , Glenn Johnson a , Roy Clariana b & Fan Zhang c a Department of Statistics , The Pennsylvania State University , University Park , PA b Department of Learning and Performance Systems, The Pennsylvania State University , University Park , PA c College of Information Sciences and Technology, The Pennsylvania State University , University Park , PA CONTACT Whitney Alicia Zimmerman [email protected] Department of Statistics , The Pennsylvania State University , 323 Thomas Building, University Park , PA 16802 Over two semesters short essay prompts were developed for use with the Graphical Interface for Knowledge Structure (GIKS), an automated essay scoring system. Participants were students in an undergraduate-level online introductory statistics course. The GIKS compares students' writing samples with an expert's to produce keyword occurrence and links in common scores which can be used to construct a visual representation of an individual's knowledge structure. Each semester, students responded to the same two essay prompts during the first and last week of the course. All responses were scored by the GIKS and two instructors. Evidence for the validity of scores obtained using the GIKS was provided through the use of correlations with instructors' scores and final exam scores. Changes in scores from the beginning to end of the course were examined. Suggestions for writing open-ended prompts that work well with computer-automated scoring systems are given as well as suggestions for using the GIKS as a formative learning activity as opposed to summative assessment.