SETSUM: Summarization and Visualization of Student Evaluations of Teaching

被引:0
|
作者
Hu, Yinuo [1 ]
Zhang, Shiyue [1 ]
Sathy, Viji [2 ,3 ]
Panter, A. T. [2 ,3 ]
Bansal, Mohit [1 ]
机构
[1] Univ N Carolina, Dept Comp Sci, Chapel Hill, NC 27599 USA
[2] Univ N Carolina, Dept Psychol & Neurosci, Chapel Hill, NC USA
[3] Univ N Carolina, Off Undergrad Educ, Chapel Hill, NC USA
基金
美国国家科学基金会;
关键词
RATINGS;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Student Evaluations of Teaching (SETs) are widely used in colleges and universities. Typically SET results are summarized for instructors in a static PDF report. The report often includes summary statistics for quantitative ratings and an unsorted list of open-ended student comments. The lack of organization and summarization of the raw comments hinders those interpreting the reports from fully utilizing informative feedback, making accurate inferences, and designing appropriate instructional improvements. In this work, we introduce a novel system, SETSUM, that leverages sentiment analysis, aspect extraction, summarization, and visualization techniques to provide organized illustrations of SET findings to instructors and other reviewers. Ten university professors from diverse departments serve as evaluators of the system and all agree that SETSUM help them interpret SET results more efficiently; and 6 out of 10 instructors prefer our system over the standard static PDF report (while the remaining 4 would like to have both). This demonstrates that our work holds the potential of reforming the SET reporting conventions in the future.
引用
收藏
页码:71 / 89
页数:19
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