Mining Student's Belief based on E-learning System Readiness

learning system implementation in higher education has become ubiquitous to enrich teaching and learning experience. Understanding student's belief based on their readiness for such technology is considered vital. The aim of this study is to investigate the students' willingness for an e-learning system as emerging learning technology, based on the Technology Readiness Index (TRI) dimensions-innovation, optimism, discomfort and insecurity- of Parsuraman, We analyze the most influential factor on students readiness. Using data mining technique as a clustering students beliefs based on TRI dimensions provides a meaningful explanation of their e-learning system readiness. A survey questionnaire was conducted to collect data from 400 participants. To analyze the collected data, Confirmatory Factor Analysis (CFA) and Measurement Model have been deployed. We used Classification approach with two-step cluster technique to validate the research model. Our results show a match of four out of the five TRI segments and despite their optimism the students show their reticence concerning e-earning system readiness.