Adaptivity in E-Learning Systems

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

doi:10.1109/cisis.2014.12

Cited by 40 publications

(22 citation statements)

References 39 publications

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“…In the AdeLe system, there are two levels of adaptation depending on who started to adapt in this regard whether the system or the user. This term leads to two kinds of adaptations: adaptivity and adaptability [15] [9] . Adaptivity is related to the ability of the system to represent the user characteristics.…”

Section: Discussionmentioning

confidence: 99%

“…For work like that, the adaptive eLearning system has the main components, among others, domain model, user model and adaptation model [7][8] [9], And has the same advantages as in Web Based Instruction that can be accessed anywhere anytime, not limited to a particular platform, easy to access and updated, faster distribution to users and more users who can access. Therefore, it is essential for vocational schools that have implemented eLearning system although it is still conventional to update the system.…”

Section: A the Adaptive Elearning (Adele) Systemmentioning

confidence: 99%

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The Adaptive Elearning System Design : Student Learning Style Trend Analysis

Agustini¹

2017

Proceedings of the 2nd International Conference on Innovative Research Across Disciplines (ICIRAD 2017)

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-This study aimed to analyze the trend of student learning styles that are used as a basis for designing an adaptive eLearning system, as one of the solutions to improve the quality of learning. In the long run, adaptive eLearning system is expected to overcome the problems in conventional eLearning, which assumes all users' characteristics are homogeneous. In the realization of this system required several stages namely (i) analysis, (ii) design, (iii) development, (iv) implementation and (v) evaluation. In addition, at this stage the preparation of learning materials will be incorporated into adaptive eLearning. Results at this stage is identified, analyzed, and designed as a system for the trend of student learning styles through questionnaires. The score of the questionnaire results will be used as a basis for providing different materials according to the students learning style i.e. visual, audio, and kinesthetic (VAK).

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Section: Discussionmentioning

confidence: 99%

Section: A the Adaptive Elearning (Adele) Systemmentioning

confidence: 99%

The Adaptive Elearning System Design : Student Learning Style Trend Analysis

Agustini¹

2017

Proceedings of the 2nd International Conference on Innovative Research Across Disciplines (ICIRAD 2017)

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“…Although a large number of learning style models and frameworks have been introduced [10], the Felder-Silverman model is the most widely used and preferred model in science and engineering education [1,2]. It provides comprehensive details on its components and identifies a teaching style for each component [13].…”

Section: Learning Stylementioning

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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“…Meeting the learner's needs, providing relevant instructional material and supporting the learner's interaction goals are increasingly important concerns in e-learning systems [12]. Learner modelling, domain modelling and adaptation modelling are often considered when developing adaptive e-learning systems [3], [13]. This perspective has shaped the structure of many adaptive systems.…”

Section: Adaptive E-learning Systemsmentioning

confidence: 99%

An E-Learning Investigation into Learning Style Adaptivity

Alshammari

Anane

Hendle

2015

2015 48th Hawaii International Conference on System Sciences

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Traditional e-learning systems are typically designed for generic learners irrespective of individual requirements. In contrast, adaptive e-learning systems take into account learner characteristics such as learning style and level of knowledge in order to provide more personalised learning. The contribution of this paper is threefold. First, a generic adaptive framework aimed at enhancing learning is proposed. Second, a specific approach to adaptivity based on learning style is put forward within the framework. Third, the framework is validated and the approach is evaluated in order to determine their effectiveness in learning provision in an adaptive e-learning system. An experiment conducted with 60 participants produced positive results. They indicate that adapting instructional material according to learning style yields significantly better learning outcome and learner satisfaction than without adaptation.

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Adaptivity in E-Learning Systems

Cited by 40 publications

References 39 publications

The Adaptive Elearning System Design : Student Learning Style Trend Analysis

The Adaptive Elearning System Design : Student Learning Style Trend Analysis

The Impact of Learning Style Adaptivity in Teaching Computer Security

An E-Learning Investigation into Learning Style Adaptivity

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