Learning styles assessment and theoretical origin in an E-learning scenario: a survey

Deborah, L. Jegatha; Baskaran, R.; Kannan, A.

doi:10.1007/s10462-012-9344-0

Cited by 53 publications

(16 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In this context, our goal is to present the state of the art and current trends in the field of automatic detection of learning styles. Although other surveys have addressed the use of learning styles (they have done it from another perspective such as the adaptation of learning material (Akbulut and Cardak 2012) or the analysis of learning style models (Deborah et al 2012)), a review of the automatic detection of learning styles has not been conducted in the current literature. Hence, in this work, we analyzed several approaches for automatically detecting learning styles from different perspectives according to the components shown in Fig.…”

Section: Introductionmentioning

confidence: 99%

Automatic detection of learning styles: state of the art

2014

View full text Add to dashboard Cite

A learning style describes the attitudes and behaviors, which determine an individual's preferred way of learning. Learning styles are particularly important in educational settings since they may help students and tutors become more self-aware of their strengths and weaknesses as learners. The traditional way to identify learning styles is using a test or questionnaire. Despite being reliable, these instruments present some problems that hinder the learning style identification. Some of these problems include students' lack of motivation to fill out a questionnaire and lack of self-awareness of their learning preferences. Thus, over the last years, several approaches have been proposed for automatically detecting learning styles, which aim to solve these problems. In this work, we review and analyze current trends in the field of automatic detection of learning styles. We present the results of our analysis and discuss some limitations, implications and research gaps that can be helpful to researchers working in the field of learning styles.

show abstract

Section: Introductionmentioning

confidence: 99%

Automatic detection of learning styles: state of the art

2014

View full text Add to dashboard Cite

show abstract

“…For example, game developers can tailor resources to gamers who learn in a certain way, which increases their level of satisfaction and learning outcomes while cutting down on the amount of time it takes to learn. Kolb's model, Dunn and Dunn's VAK model, the Big Five model, the Honey and Mumford models, the Felder and Silverman models, the Gregorian model, the Carl index model, and Brick Meyers, Howard Gardner, and Chris Jackson's style are all examples of common learning styles (Khenissi et al, 2016;Deborah et al, 2014). Among the several learning styles, many researchers prefer Felder and Silverman's because it provides a more detailed description of the learner's "learning style," including four distinct dimensions of the learner's preferences and psychological components of learning.…”

Section: Learning Stylesmentioning

confidence: 99%

Playing Games to Earn Money: The Conceptual Framework of Interaction between Gender, Learning Styles, Problematic Gaming Behavior and Success-Economic Gain Motivation of Playing Games

Torralba

2023

IJMABER

View full text Add to dashboard Cite

This study identified the constructs of problematic gaming behavior that significantly impact the success-economic gain motivation of gamers. Furthermore, this study explored the role of gender, number of games played, and learning styles in problematic gaming behavior and the success-economic gain motivation of gamers using an online survey (N = 136). This study identified escape from adverse moods and preoccupation as the significant determinants of success-economic gain motivation of gamers. Escape from bad moods and preoccupation mediates the relationship between gamers' gender, number of games played, and success-economic gain motivation. Regression analysis reveals that active-reflective and sequential-global learning styles moderate the relationship between escapism, preoccupation, and success-economic gain motivation of gamers. The results suggest that the combination of active-global learning style and reflective-sequential learning style has the highest impact on the success-economic gain motivation of gamers. The results led to two conceptual frameworks that show how gender, learning styles, problematic gaming behavior, and success-economic gain motivation all play a role in game play.

show abstract

“…This study uses the FSLSM as the reference for learning styles. According to Deborah, Baskaran, and Kannan in 2014, the FSLSM is the most suitable learning-style model for evaluating the learning styles of e-learning users [15]. The FSLSM also can be used to analyze learning object preferences and interaction designs of e-learning systems [7].…”

Section: Learning Stylesmentioning

confidence: 99%

Development and Evaluation of a Mobile-Learning Application Based on the Felder-Silverman Learning Styles Model

Isal

Santoso

Novandi

2021

Int. J. Emerg. Technol. Learn.

View full text Add to dashboard Cite

Every student has a different learning style. Not all of these learning styles can be facilitated through classroom learning. Mobile learning (m-learning) is the use of mobile technology to support learning activities and facilitate a variety of student learning styles. However, no previous studies of the development of m-learning products have tested the possibility of facilitating different learning styles within a single M-learning application. This study describes the development and evaluation of an adaptive m-learning application that can facilitate the needs of different students. The Felder-Silverman Learning Style Model was used as the reference for learning styles. The prototype application was developed using the user-centered design method, which includes user needs analysis, interaction design, application development, and usability testing. The designers followed the best practices laid out in Shneiderman's Eight Golden Rules of Interface Design and Gagné’s Nine Events of Instruction. A usability test of the prototype involving ten participants. Usability testing is carried out by conducting usability testing and filling out the System Usability Scale (SUS) questionnaire by all participants. The result found that it had good usability.

show abstract

Learning styles assessment and theoretical origin in an E-learning scenario: a survey

Cited by 53 publications

References 35 publications

Automatic detection of learning styles: state of the art

Automatic detection of learning styles: state of the art

Playing Games to Earn Money: The Conceptual Framework of Interaction between Gender, Learning Styles, Problematic Gaming Behavior and Success-Economic Gain Motivation of Playing Games

Development and Evaluation of a Mobile-Learning Application Based on the Felder-Silverman Learning Styles Model

Contact Info

Product

Resources

About