Design of an Intelligent Tutoring System to Create a Personalized Study Plan Using Expert Systems

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F22%3AA2302GDE" target="_blank" >RIV/61988987:17310/22:A2302GDE - isvavai.cz</a>

Result on the web

<a href="https://www.mdpi.com/2076-3417/12/12/6236" target="_blank" >https://www.mdpi.com/2076-3417/12/12/6236</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/app12126236" target="_blank" >10.3390/app12126236</a>

Result language

angličtina

Original language name

Design of an Intelligent Tutoring System to Create a Personalized Study Plan Using Expert Systems

Original language description

The article is devoted to the issue of the construction of an intelligent tutoring system which was created by our university for implementing distance learning and combined forms of studies. Significantly higher demand for such tools occurred during the COVID-19 pandemic when distance learning was used by students in their full-time studies. Current Learning Management Systems (LMS) do not address students' individuality regarding their various levels of input knowledge and skills or their different learning styles, which, in our case, are based on sensory preferences. Therefore, this article proposes a model of an intelligent tutoring system to control learning by accentuating the individual needs of a student. The foundation stones of this system are an expert system and adaptation mechanisms. The expert system acts as a tool for the identification of students’ needs from the point of view of input knowledge and sensory preferences. Sensory preferences influence the student’s learning style. The implemented adaptation mechanisms control the progress of the student through a study unit. The model was implemented in the LMS Moodle environment. Regarding the focus of the research content, our model is oriented on the study of the English language, where each student receives a unique study plan, which is continuously adapted based on achieved results. We consider the focus on the individuality of the student to be an inno-vative approach that can be achieved automatically on a mass scale. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/EF17_049%2F0008452" target="_blank" >EF17_049/0008452: SMART technologies to improve the quality of life in cities and regions</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2022

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Applied Sciences (Switzerland)

ISSN

20763417

e-ISSN

2076-3417

Volume of the periodical

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Issue of the periodical within the volume

12

Country of publishing house

CH - SWITZERLAND

Number of pages

20

Pages from-to

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UT code for WoS article

000816424700001

EID of the result in the Scopus database

2-s2.0-85132880456