Intelligent tutoring system: Approaches, researches and e-learning solution

Abstract

Passing the university entrance examination is a crucial step in student's life because it opens the vistas of higher education in professional development. It is very competitive to a certain degree so students try their luck with necessary preparation. Those who not prepared well, they fail it. Kankor is one such university entrance examination in Afghanistan. However, majority of talented students could not pass it, not because they do not deserve higher education; but because they do not have any guideline, training facilities physical or online, and capabilities. In this paper we analyze the research methods, approaches and the result of an intelligent tutoring system called e-Kankor which has been developed to tackle the aforementioned issues. The system offers a variety of practice materials, students' progress reports, teacher assessments, Integrative design, feedbacks including teacher-to-student and peer-assessments. The system rationale are firmly rooted in the learning theories and learner centered design approaches. To measure the success, we have rigorously tested our system on 3-scales: Lab testing, Expert-walk through and Field testing. The research methods are predominantly quantitative-cum-qualitative. Data analysis is performed with the help of SPSS. The outcome of the results indicates positive developments in terms of motivation, pedagogy and usability.