Student learning styles and emotional tendencies detection based on Twitter

Abstract

The students' learning styles affect the understanding of the materials provided in university. In the learning process, emotional factors strongly affect students' motivation and learning style. Students post their activities, experiences, feelings in Twitter. Tweets sentiment analysis results represent the students' emotional tendency. The knowledge about learning styles and emotional tendency are employed to find suitable teaching techniques and approaches. The study employs learning style that involves visual, aural, reading/writing, kinaesthetic (VARK) to identify the students learning styles. The results are that students' learning styles are classified in 13.33% visual, 36.67% aural, 20% read/write and 30% kinaesthetic. The emotional tendencies of the students are 33.33% positive, 53.33% neutral, 13.33% negative. The mapping concept based on the learning styles and emotional tendencies finds that positive emotional tendency is related to all learning styles. The neutral emotional tendency is related with aural, read/write, kinaesthetic. The negative emotional tendency is related to visual.