Classroom Assessment Ecosystem: Exam Analytics for Closing Group Performance Gaps

• In Event: TIL- Learning Analytics for Performance Improvement

Short Description

We report an exam analysis for identifying and closing student performance gaps. First, we conducted the difficulty and discrimination level analysis to identify the low-quality questions. Next, we explicitly investigated the performance gaps of the predefined performance groups on each question. Finally, we conducted a text analysis to analyze the differences in knowledge-mastery levels. Our analysis specified the low-quality questions and highlighted the instructional significance in conducting course-level assessments for improving teaching and learning efficiency.

Authors

• Contributor: Bo Pei, University of Notre Dame

• Contributor: G. Alex Ambrose, Faculty

• Contributor: John Behrens, Notre Dame Learning

• Contributor: Ying Cheng, Department of Psychology, Lucy Family Institute For Data and Society