Abstract
At the end of every semester students have an opportunity to provide their opinions, comments or suggestions about a course, study environment and available resources using the course evaluation. This helps the course professors and other college authorities to make appropriate changes or to continue a particular approach so that students get the best experience in classrooms. These course evaluations are in both quantitative and qualitative forms. In quantitative feedback the evaluation is performed in terms of measurable outcomes and include a Likert-type scale to capture the level of agreement and disagreement. In qualitative feedback the students can convey their feelings, opinions or suggestions about the course, the course instructor, or their overall thoughts/comments towards the course. The qualitative feedbacks provide freedom for the students to express their honest thoughts on a course. The data collected in the qualitative form provides deeper insight into a student’s emotional state. In this work we focus on mining the qualitative student feedbacks and analyzing the student sentiments. We also analyze the efficiency of Light Weight teams and Flipped Classroom approach which are Active Learning methods. Results show that the implementation of these Active Learning methods is linked with increased positivity in student emotions.
Presenters
Angelina TzachevaTeaching Associate Professor, Computer Science, The University of North Carolina, Charlotte, United States
Details
Presentation Type
Paper Presentation in a Themed Session
Theme
KEYWORDS
Active Learning Approach, Emotion Mining, Flipped Classroom, Opinion Mining
Digital Media
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