Masters Thesis Defense “Intelligent Tutoring System Effects on the Learning Process” By Ali Talib Qasim Al-Aqbi

Committee:  Drs. Mateen Rizki, Advisor, Michael Raymer Co-Advisor, and Jack Jean

ABSTRACT:

The traditional education systems that have been used for several centuries have evolved very slowly and might be ineffective for addressing diverse learning styles and levels of preparation. This system is characterized by many students interacting with a single teacher, who is unable to address the individual needs of every student. Therefore, some students can become frustrated and fail to reach their educational potential. Intelligent Tutoring System (ITS), which is a computer application used to provide students with one-to-one supplemental tutoring tailored to the student’s learning style and pace, has been of interest to educators for improving student learning. To evaluate the effectiveness of ITS, a systematic review of guided by a predefined protocol was conducted as a meta-study about ITS. The research question guiding this study is: “Does the intelligent tutoring system improve students’ learning abilities more than traditional learning?” A t-test, one-way ANOVA test, and KNIME program that does Latent Dirichlet allocation were performed. The results support the conclusion that ITS causes a significant improvement over traditional learning methods.