The usefulness of self-evaluation rubric table as a component of a learning management system for a course in statistics

Abstract

A self-evaluation rubric system was introduced to statistical classes for university students in order to investigate the relationship between students’ satisfaction and their grades. Two items, “understanding” and “computer skill”, were reviewed according to rubric tables. Principal component analysis revealed that most evaluations patterns indicated the same direction and students could be characterized into three groups. Whereas two factors of “teaching skill” and “students’ activity” were extracted from the post-course questionnaire. Finally, multiple regression analysis revealed that final examination results were well correlated with the evaluation rubric. This suggests that an evaluation rubric system is helpful to predict students’ achievement in class.