论文标题
集合：学生评估的摘要和可视化教学评估
SETSum: Summarization and Visualization of Student Evaluations of Teaching
论文作者
论文摘要
学生对教学的评估（集合）被广泛用于大学。通常，在静态PDF报告中为讲师总结了设置的结果。该报告通常包括用于定量评级的摘要统计数据和未分类的开放式学生评论列表。原始评论的组织缺乏和汇总阻碍了那些完全利用信息反馈，准确推断并设计适当的教学改进的报告的人。在这项工作中，我们介绍了一个新型系统，集合，该系统利用情感分析，提取，摘要和可视化技术，以向讲师和其他审阅者提供有组织的插图。来自不同部门的十个大学教授是该系统的评估者，所有人都同意Setsum可以帮助他们更有效地解释套装结果；十分之六的讲师更喜欢我们的系统，而不是标准的静态PDF报告（而其余4个则希望同时拥有两者）。这表明我们的工作有可能在未来改革设定的报告惯例。我们的代码可从https://github.com/evahuyn/setsum获得
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 helps 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 to reform the SET reporting conventions in the future. Our code is available at https://github.com/evahuyn/SETSum
