An E-Learning Investigation into Learning Style Adaptivity

Alshammari, Mohammad T.; Anane, Rachid; Hendle, Robert J.

doi:10.1109/hicss.2015.13

Cited by 19 publications

(16 citation statements)

References 27 publications

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“…In Figure 2 we present an abstract view of the adaptive system used in this work. This is based upon the model presented in [5]. It includes three main components: the domain model, the adaptation model and the dyslexic learner model.…”

Section: Adaptation Based On Dyslexia Typementioning

confidence: 99%

The Impact of Adaptation Based on Students' Dyslexia Type: An Empirical Evaluation of Students' Satisfaction

Alghabban

Hendley

2020

Adjunct Publication of the 28th ACM Conference on User Modeling, Adaptation and Personalization

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Where a licence is displayed above, please note the terms and conditions of the licence govern your use of this document. When citing, please reference the published version. Take down policy While the University of Birmingham exercises care and attention in making items available there are rare occasions when an item has been uploaded in error or has been deemed to be commercially or otherwise sensitive.

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Section: Adaptation Based On Dyslexia Typementioning

confidence: 99%

The Impact of Adaptation Based on Students' Dyslexia Type: An Empirical Evaluation of Students' Satisfaction

Alghabban

Hendley

2020

Adjunct Publication of the 28th ACM Conference on User Modeling, Adaptation and Personalization

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“…Personalised learning paths through learning material are generated in an e-learning system [3]. Learning material is represented at two levels.…”

Section: Learning Style Adaptivitymentioning

confidence: 99%

The Impact of Learning Style Adaptivity in Teaching Computer Security

Alshammari

Anane

Hendley

2015

Proceedings of the 2015 ACM Conference on Innovation and Technology in Computer Science Education

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Teaching computer security is one of the most challenging tasks in computer science, because of the need to successfully integrate abstract concepts and practical applications. Several e-learning systems have been developed to address this issue. However, they usually provide the same material in the same sequence irrespective of the characteristics of the students, such as their knowledge level and learning style. In this paper, an approach to learning style adaptivity is proposed for the teaching of computer security. An e-learning system was developed to provide more personalised and adaptive learning, based on the information perception style of the Felder-Silverman model. This is the dimension of learning style, which has received the least attention in published research. In the approach, a personalised sequence of learning material is generated based on an individual learning style. The approach is evaluated in order to determine its effectiveness in learning provision. An experiment conducted with sixty subjects produced significant results. They indicate that matching computer security learning material, according to the learning style of the students, yields significantly better learning gain and student satisfaction than without matching.

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“…learners which greatly supports and enhances learning practices online. It's difficult for learners to find their activity according to their criteria due to numerous kind of activities [2]. Due to these types of problems, an e-learning recommendation as to develop personalized e-learning systems.…”

Section: Introductionmentioning

confidence: 99%

Untitled

2019

IJCSE

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The recommender systems are the technique of processing and evaluation of user behavioral data in order to suggest the resources according to user needs. In e-learning system, it is actually used to suggest resources and relevant contents to learners. Thus e-Learning recommender system is a technique to identify requirements of learner to provide relevant learning content. In this paper current state-of-art for the e-learning recommendation system is reviewed. In addition of that recent research work in the direction of enhancing the user's experience in online learning is also reported.

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An E-Learning Investigation into Learning Style Adaptivity

Cited by 19 publications

References 27 publications

The Impact of Adaptation Based on Students' Dyslexia Type: An Empirical Evaluation of Students' Satisfaction

The Impact of Adaptation Based on Students' Dyslexia Type: An Empirical Evaluation of Students' Satisfaction

The Impact of Learning Style Adaptivity in Teaching Computer Security

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