Intelligent learning environment for better student’s academic performance

Intelligent learning environment for better student’s academic performance

In this paper, the authors aim to develop an intelligent learning environment model designed to improve students’ academic performance. Methodology: Referring to the litarature, the authors identified and analyzed a number of relevant issues that influence the specific components of an intelligent l...

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Main Authors: Vişan Anca–Elena, Zerbes Mihai–Victor, Kifor Ştefania
Format: Article
Language:English
Published: EDP Sciences 2021-01-01
Series:MATEC Web of Conferences
Online Access:https://www.matec-conferences.org/articles/matecconf/pdf/2021/12/matecconf_mse21_11010.pdf
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spelling doaj-8cb50efd019c4011914f8e2dbf9793a42021-08-05T12:53:54ZengEDP SciencesMATEC Web of Conferences2261-236X2021-01-013431101010.1051/matecconf/202134311010matecconf_mse21_11010Intelligent learning environment for better student’s academic performanceVişan Anca–Elena0Zerbes Mihai–Victor1Kifor Ştefania2Lucian Blaga University of Sibiu, Engineering Faculty, Industrial Engineering and Management DepartmentLucian Blaga University of Sibiu, Engineering Faculty, Industrial Engineering and Management DepartmentTeacher Education Department, Social and Human Science FacultyIn this paper, the authors aim to develop an intelligent learning environment model designed to improve students’ academic performance. Methodology: Referring to the litarature, the authors identified and analyzed a number of relevant issues that influence the specific components of an intelligent learning environment. These aspects were quantified using performance indicators defined on the basis of the specific objectives of each aspect chosen. Results: Following the analysis, the authors developed a model of intelligent learning space, and for its representation, we used conceptual modeling. Conclusions: Finally, the authors propose the prevalidation of the model using the dynamic modeling process and then the model will be piloted for final validation in both physical and virtual environment. These aspects are proposed because in the present study, the model was validated only based on the results from studies in scientific literature.https://www.matec-conferences.org/articles/matecconf/pdf/2021/12/matecconf_mse21_11010.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Vişan Anca–Elena
Zerbes Mihai–Victor
Kifor Ştefania
spellingShingle Vişan Anca–Elena
Zerbes Mihai–Victor
Kifor Ştefania
Intelligent learning environment for better student’s academic performance
MATEC Web of Conferences
author_facet Vişan Anca–Elena
Zerbes Mihai–Victor
Kifor Ştefania
author_sort Vişan Anca–Elena
title Intelligent learning environment for better student’s academic performance
title_short Intelligent learning environment for better student’s academic performance
title_full Intelligent learning environment for better student’s academic performance
title_fullStr Intelligent learning environment for better student’s academic performance
title_full_unstemmed Intelligent learning environment for better student’s academic performance
title_sort intelligent learning environment for better student’s academic performance
publisher EDP Sciences
series MATEC Web of Conferences
issn 2261-236X
publishDate 2021-01-01
description In this paper, the authors aim to develop an intelligent learning environment model designed to improve students’ academic performance. Methodology: Referring to the litarature, the authors identified and analyzed a number of relevant issues that influence the specific components of an intelligent learning environment. These aspects were quantified using performance indicators defined on the basis of the specific objectives of each aspect chosen. Results: Following the analysis, the authors developed a model of intelligent learning space, and for its representation, we used conceptual modeling. Conclusions: Finally, the authors propose the prevalidation of the model using the dynamic modeling process and then the model will be piloted for final validation in both physical and virtual environment. These aspects are proposed because in the present study, the model was validated only based on the results from studies in scientific literature.
url https://www.matec-conferences.org/articles/matecconf/pdf/2021/12/matecconf_mse21_11010.pdf
work_keys_str_mv AT visanancaelena intelligentlearningenvironmentforbetterstudentsacademicperformance
AT zerbesmihaivictor intelligentlearningenvironmentforbetterstudentsacademicperformance
AT kiforstefania intelligentlearningenvironmentforbetterstudentsacademicperformance
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