Recommender System for Student Learning Behaviour Based on Psychometric Data Analytics

Abstract

Student s education facilitates their career and growth.Educational data mining has emerged as a new research field. To begin with, a survey has been conducted to understand the need of a system which could assist the students in enhancing their learning. The positivity of responses leads to the exhaustive review of existing models focusing on present study to analyze learning behaviour of students and to predict their grades. It then studied about various constructs affecting intellectual performance of students. The research considers psychological constructs of students related to their academic performance. To identify the causal constructs, the study undergoes exploratory factor analysis followed by confirmatory factor analysis. Based on the identified constructs, primary data is collected with the help of structured questionnaire targeting final year undergraduate students.To examine the interrelationships between the factors and to study the impact of non-intellectual constructs on student s academic performance structured equation modelling has been implemented. Different models have been constructed and the models fit values showed that students academic performance can be enhanced by revising their psychometric parameters. To test the significance of the constructs, chi square test (goodness of fit measure) is performed and meta-analysis is done using random-effects model. It is implemented to identify the average weighted correlations between academic score of a student and each nonintellectual construct. It also measures heterogeneity in effect sizes, residual deviation and standard deviation measure of effect sizes. Classifying the students, according to their academic scores, as high, average and low will help in identifying the differences in their learning behaviour. In the end the recommendation rules have been generated using decision tree (ID3) algorithm suggesting on how to improve learning behaviour of students in order to enhance their intellectual performance.