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Intelligent Tutoring System Effects on the Learning Process

Al-Aqbi, Ali Talib Qasim

Abstract Details

2017, Master of Science in Computer Engineering (MSCE), Wright State University, Computer Engineering.
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. An 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, is of interest to educators for improving student learning. To evaluate the effectiveness of ITS, a systematic review of the recent literature was performed using a carefully crafted protocol designed to provide data to support a meta-study of the effectiveness of ITS. The research question guiding this study is: “Does an 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 in learning over traditional instructional methods.
Mateen Rizki, Ph.D. (Advisor)
Michael Raymer, Ph.D. (Committee Co-Chair)
Jack Jean, Ph.D. (Committee Member)
122 p.

Recommended Citations

Citations

  • Al-Aqbi, A. T. Q. (2017). Intelligent Tutoring System Effects on the Learning Process [Master's thesis, Wright State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=wright1502139817641618

    APA Style (7th edition)

  • Al-Aqbi, Ali. Intelligent Tutoring System Effects on the Learning Process. 2017. Wright State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=wright1502139817641618.

    MLA Style (8th edition)

  • Al-Aqbi, Ali. "Intelligent Tutoring System Effects on the Learning Process." Master's thesis, Wright State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=wright1502139817641618

    Chicago Manual of Style (17th edition)