Effect of non-mandatory use of an intelligent tutoring system on students’ learning

10Citations
Citations of this article
19Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Numerous controlled studies prove the effectiveness of Intelligent Tutoring Systems (ITSs). But what happens when ITSs are available to students for voluntary practice? EER-Tutor is a mature ITS which was previously found effective in controlled experiments. Students can use EER-Tutor for tutored problem solving, and there is also a special mode allowing students to develop solutions for the course assignment without receiving feedback. In this paper, we report the observations from two classes of university students using EER-Tutor. In 2018, the system was available for completely voluntary practice. We hypothesized that the students’ pre-existing knowledge and the time spent in EER-Tutor, mediated by the number of attempted EER-Tutor problems, contribute to the students’ scores on the assignment. All but one student used EER-Tutor to draw their assignment solutions, and 77% also used it for tutored problem solving. All our hypotheses were confirmed. Given the found benefits of tutored problem solving, we modified the assignment for the 2019 class so that the first part required students to solve three problems in EER-Tutor (without feedback), while the second part was similar to the 2018 assignment. Our hypothesized model fits the data well and shows the positive relationship between the three set problems on the overall system use, and the assignment scores. In 2019, 98% of the class engaged in tutored problem solving. The 2019 class also spent significantly more time in the ITS, solved significantly more problems and achieved higher scores on the assignment.

Cite

CITATION STYLE

APA

Mitrović, A., & Holland, J. (2020). Effect of non-mandatory use of an intelligent tutoring system on students’ learning. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12163 LNAI, pp. 386–397). Springer. https://doi.org/10.1007/978-3-030-52237-7_31

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free