Assessing Students Performance Using Learning Curves

Educational Data Mining is used to find interesting patterns from the data taken from educational settings to improve teaching and learning. Assessing student's ability and performance with EDM methods in e-learning environment for math education in school level in India has not been identified in our literature review. Our method is a novel approach in providing quality math education with assessments indicating the knowledge level of a student in each lesson. This paper illustrates how Learning Curve – an EDM visualization method is used to compare rural and urban students' progress in learning mathematics in an e-learning environment. The experiment is conducted in two different schools in Tamil Nadu, India. After practicing the problems the students attended the test and their interaction data are collected and analyzed their performance in different aspects: Knowledge component level, time taken to solve a problem, error rate. This work studies the student actions for identifying learning progress. The results show that the learning curve method is much helpful to the teachers to visualize the students' performance in granular level which is not possible manually. Also it helps the students in knowing about their skill level when they complete each unit.