Studying Learner’s Player Learning Style for Generating Adaptive Learning Game

Several studies have been conducted in the field of Technology Enhanced Learning(TEL) have shown that the adaptation to learner’s learning styles is a task that must be taken into account during the design phase of the educational sequences in order to increase the student’s mo...

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Main Authors: Lamyae Bennis, Khalid Kandali, Hamid Bennis
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9893794/
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author Lamyae Bennis
Khalid Kandali
Hamid Bennis
author_facet Lamyae Bennis
Khalid Kandali
Hamid Bennis
author_sort Lamyae Bennis
collection DOAJ
description Several studies have been conducted in the field of Technology Enhanced Learning(TEL) have shown that the adaptation to learner’s learning styles is a task that must be taken into account during the design phase of the educational sequences in order to increase the student’s motivation. Cognitive psychologists have proposed various models of style, which it’s often represented by using multiple dimensions statistically estimated, each model suggests an instrument for measuring an individual’s learning style. Most of them use questionnaires such as (Honey and Mumford (1992), Kolb (1984), Index of Learning Styles (ILS)). This paper shows the results of a study that was addressed to doctoral students. The sample of the population was made up of 300 persons. The purpose of this study is to illustrate the effectiveness of the French version of the Index Learning Styles (ILS) and uses factor analysis for investigation into various dimensions to help students decrease the time spent on this test. The main finding of this paper is: 1) the integration of the French version of the ILS into eAdventure and 2) the generation of an adaptable learning game (LG) and the developement of a new version of the eAdventure authoring tool based on Eadventure Index of Learning Style (E-ILS), capable of fixing learners’ preferences (desires, habits, etc.).
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spelling doaj.art-8f884d6ac8e24e1798d1923bed9eaf272022-12-22T04:08:00ZengIEEEIEEE Access2169-35362022-01-011010388010388710.1109/ACCESS.2022.32071919893794Studying Learner’s Player Learning Style for Generating Adaptive Learning GameLamyae Bennis0https://orcid.org/0000-0001-8426-4676Khalid Kandali1https://orcid.org/0000-0003-4266-6671Hamid Bennis2Faculty of Sciences of Meknes, Moulay Ismail University, Meknes, MoroccoIMAGE Laboratory, SCIAM Team, Graduate School of Technology, Moulay Ismail University, Meknes, MoroccoIMAGE Laboratory, SCIAM Team, Graduate School of Technology, Moulay Ismail University, Meknes, MoroccoSeveral studies have been conducted in the field of Technology Enhanced Learning(TEL) have shown that the adaptation to learner’s learning styles is a task that must be taken into account during the design phase of the educational sequences in order to increase the student’s motivation. Cognitive psychologists have proposed various models of style, which it’s often represented by using multiple dimensions statistically estimated, each model suggests an instrument for measuring an individual’s learning style. Most of them use questionnaires such as (Honey and Mumford (1992), Kolb (1984), Index of Learning Styles (ILS)). This paper shows the results of a study that was addressed to doctoral students. The sample of the population was made up of 300 persons. The purpose of this study is to illustrate the effectiveness of the French version of the Index Learning Styles (ILS) and uses factor analysis for investigation into various dimensions to help students decrease the time spent on this test. The main finding of this paper is: 1) the integration of the French version of the ILS into eAdventure and 2) the generation of an adaptable learning game (LG) and the developement of a new version of the eAdventure authoring tool based on Eadventure Index of Learning Style (E-ILS), capable of fixing learners’ preferences (desires, habits, etc.).https://ieeexplore.ieee.org/document/9893794/Learning game (LG)personalizationinformation and communication technologies (ICTs)index of learning style (ILS)Felder-Silverman learning style model (FSLSM)technology enhanced learning
spellingShingle Lamyae Bennis
Khalid Kandali
Hamid Bennis
Studying Learner’s Player Learning Style for Generating Adaptive Learning Game
IEEE Access
Learning game (LG)
personalization
information and communication technologies (ICTs)
index of learning style (ILS)
Felder-Silverman learning style model (FSLSM)
technology enhanced learning
title Studying Learner’s Player Learning Style for Generating Adaptive Learning Game
title_full Studying Learner’s Player Learning Style for Generating Adaptive Learning Game
title_fullStr Studying Learner’s Player Learning Style for Generating Adaptive Learning Game
title_full_unstemmed Studying Learner’s Player Learning Style for Generating Adaptive Learning Game
title_short Studying Learner’s Player Learning Style for Generating Adaptive Learning Game
title_sort studying learner x2019 s player learning style for generating adaptive learning game
topic Learning game (LG)
personalization
information and communication technologies (ICTs)
index of learning style (ILS)
Felder-Silverman learning style model (FSLSM)
technology enhanced learning
url https://ieeexplore.ieee.org/document/9893794/
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