EDUCATIONAL DATA MINING FOR ENHANCED TEACHING AND LEARNING

There are different classroom teaching techniques for effective teaching and learning like; teaching on black/white board, projectors, etc. Some of the students feel comfortable with one technique while others may be comfortable with some other. This study aims to discover trend of comfort level of students with respect to timetabling and teaching techniques. In this regard, a questionnaire is designed to acquire students’ interest that will show what techniques are mostly liked or preferred by different types of students. Based on the feedback, machine learning algorithms are applied to extract the useful results. The analyses are conducted in WEKA and the proposed scheme is compared with other well-known techniques in the literature.