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Effect of Non-mandatory Use of an Intelligent Tutoring System on Students’ Learning
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 pr...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7334172/ http://dx.doi.org/10.1007/978-3-030-52237-7_31 |
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author | Mitrović, Antonija Holland, Jay |
author_facet | Mitrović, Antonija Holland, Jay |
author_sort | Mitrović, Antonija |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7334172 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
spelling | pubmed-73341722020-07-06 Effect of Non-mandatory Use of an Intelligent Tutoring System on Students’ Learning Mitrović, Antonija Holland, Jay Artificial Intelligence in Education Article 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. 2020-06-09 /pmc/articles/PMC7334172/ http://dx.doi.org/10.1007/978-3-030-52237-7_31 Text en © Springer Nature Switzerland AG 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Mitrović, Antonija Holland, Jay Effect of Non-mandatory Use of an Intelligent Tutoring System on Students’ Learning |
title | Effect of Non-mandatory Use of an Intelligent Tutoring System on Students’ Learning |
title_full | Effect of Non-mandatory Use of an Intelligent Tutoring System on Students’ Learning |
title_fullStr | Effect of Non-mandatory Use of an Intelligent Tutoring System on Students’ Learning |
title_full_unstemmed | Effect of Non-mandatory Use of an Intelligent Tutoring System on Students’ Learning |
title_short | Effect of Non-mandatory Use of an Intelligent Tutoring System on Students’ Learning |
title_sort | effect of non-mandatory use of an intelligent tutoring system on students’ learning |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7334172/ http://dx.doi.org/10.1007/978-3-030-52237-7_31 |
work_keys_str_mv | AT mitrovicantonija effectofnonmandatoryuseofanintelligenttutoringsystemonstudentslearning AT hollandjay effectofnonmandatoryuseofanintelligenttutoringsystemonstudentslearning |