Investigation of Self Determination on Students Academic Performance in the Learning Environment

Educational Data Mining is an emerging research area that applies research, psychological and computational methods on educational data set to understand the students’ behavior, attitude, learning abilities in the learning environment [1]. According to the Bloom’s Taxonomy a student in the learning environment grows in Knowledge (cognitive), Attitude / Behavior (Emotions) and Skills[5]. The impact of self-determination on students’ academic performance is taken for research .Self Determination is an attitude that encapsulates the psychological factors like intrinsic motivation and personality. Self Determination of the student is measured using self-determination scale. Supervised and Unsupervised learning is used to classify the students based on their Self Determination and Performance. The association between the self-determination and the performance is done using predictive and descriptive modeling. The study reveals the positive correlation between the self-determination scale and the performance. This research allows the teaching community to analyze the student’s self-determination level and, help them to grow positively in their knowledge, emotions and skills.