Academia.edu no longer supports Internet Explorer.
To browse Academia.edu and the wider internet faster and more securely, please take a few seconds to upgrade your browser.
2013, 2013 3rd International Symposium ISKO-Maghreb
Learning style is one of the individual differences that play an important but controversial role in the learning process. On the other hand, previous research suggested that learning styles significantly affect student learning because they refer to how learners process and organize information. To this end, this paper presents an approach to integrate learning styles into adaptive e-learning hypermedia. To achieve the main objectives, a case study was developed. An experimental evaluation was designed to evaluate the new approach of matching learning materials with learning styles and their influence on student's learning achievement.
International Journal of Library and …, 2011
This paper presents an approach to integrate learning styles into adaptive e-learning hypermedia. The main objective was to develop an adaptive e-learning system and assess the effect of adapting educational materials individualized to the student's learning style. ...
… and Adaptive Web-based systems, AH, 2004
In this paper we build on research reported in the areas of Adaptive Educational Hypermedia and learning styles in order to deal with critical issues influencing the design of adaptation based on the learning style information. In more detail we concentrate on: (i) the different learning style categorizations that have been or could be used for modelling learners' learning style in the context of an Adaptive Educational Hypermedia System and the way these could guide the design of adaptation, (ii) the adaptation technologies that could better serve learners with different learning styles, (iii) the dynamic adaptation of the system and the diagnosis process including the identification of specific measures of learners' observable behaviour which are indicative of learners' learning style preferences.
wwwis.win.tue.nl
In this paper a hypermedia system that incorporates global and sequential learning styles is described. Elements of learning styles such as the sequencing of pages and structure have been incorporated in the courseware. Two different presentation style user interface templates were employed. The system provides an alternative to the "one size fits all" approach to development of web-based educational courseware, by creating learning materials to cater for individual learner preferences. The Felder-Solomon Learning Style Questionnaire was used to measure the learning style preferences of students. Information recall tests were created and scores that were obtained after matched [1] and mismatched [2] sessions have been compared. Significantly higher results were obtained for the matched session compared with the mismatched session. The findings are discussed with respect to their implication for further development of adaptive web based courseware.
""Computer-based learning has become a common phenomenon in the modern age. Many distance-learning systems distribute educational resources on the Internet and indeed entire study programmes are now widely available online. Such a large amount of content and information can be intimidating to learners, who may exhibit different individual characteristics, such as variation in goals, interests, motivation and/or learning preferences. This suggests that a uniform approach taken by learning environments to deliver materials and resources to students is not appropriate and that personalisation of such materials/resources should address users’ differences to provide a customised learning experience, thus enhancing its effectiveness, lowering drop-out rates and maintaining high student motivation. This thesis addresses the latter issue of learning preferences, specifically investigating learning styles as an adaptation mechanism for personalised computer-based learning. A number of previous studies indicated the positive effect that this kind of adaptation provides, but under closer examination these were not conducted in a scientifically rigorous manner and thus their findings are somewhat limited. This research utilises a quantitative and highly objective approach to investigate visual/verbal and sequential/global learning styles in different user groups. Three user trials were carried out to discover whether there were any benefits to using these learning styles for studying in an adapted environment. Overall, no statistically significant benefits were found and these findings now shed doubt as to whether learning styles are indeed an effective mechanism for personalised learning.""
International Journal of Distance Education Technologies, 2016
Personalized e-learning implementation is recognized as one of the most interesting research areas in the distance web-based education. Since the learning style of each learner is different one must fit e-learning with the different needs of learners. This paper presents an approach to integrate learning styles into adaptive e-learning hypermedia. The main objective was to develop a new Adaptive Educational Hypermedia System based on Honey and Mumford learning style model (AEHS-H&M) and assess the effect of adapting educational materials individualized to the student's learning style. To achieve the main objectives, a case study was developed. An experiment between two groups of students was conducted to evaluate the impact on learning achievement. Inferential statistics were applied to make inferences from the sample data to more general conditions was designed to evaluate the new approach of matching learning materials with learning styles and their influence on student's ...
2007
Research question 3: Can the adaptation that is required for LS be realized through the AHA! system? This research question boils down to two different issues, because there is a difference between what the AHA! adaptation engine can do and what the AHA! authoring tools support. Research question 3a: Can the AHA! engine perform the adaptation that is required for different LS? The answer to research question 2 will tell us what the adaptation is that is needed to suit different learning styles. To answer research question 3a we need to show the AHA! adaptation rules and other aspects of the presentation generation in order to demonstrate that the adaptation to different LS is possible. This shows the ability to perform the adaptation, but leaves the question whether authors will be able to define that adaptation. Research question 3b: Can the adaptation to LS be created using the existing ("standard") AHA! authoring tools?
Proceeding of the UiTM International Conference on E-Learning 2007 (UICEL), 2007
This paper presents an empirical evaluation of an adaptive e-learning system (AES). The system was evaluated in an experimental research. During the 9 weeks of experimenta-tion, the students studied the learning material in two randomly allocated groups, an experimental group using the AES and a control group using the non-AES. Research findings are described as follows. Stu¬dents who learned using the AES performed better significantly than those who learned using the non-AES. The implementation of test repetition as a function of knowledge adaptation in the AES increased student achievement significantly. When the effect of test repetition was removed, the implementation of learning style and multimedia mode adaptation in the AES was still found to have significant effect upon student performance. Students whose learning style and multimedia preferences were matched with the system achieved better results
This paper describes the use of adaptation patterns in the task of formulating standards for adaptive educational hypermedia (AEH) systems that is currently under investigation by the EU ADAPT project. Within this project, design dimensions for high granularity patterns have been established. In this paper we focus on detailing lower granularity adaptive patterns based upon learning styles. Several patterns from existing AEH system case studies are identified and classified according to an extended learning style "onion" model. This model forms the basis of a learning style taxonomy, introduced here, whose components determine adaptation patterns for AEH. These patterns are of importance both for authoring, as well as for interfacing between adaptive hypermedia systems. From an authoring point of view, these patterns may be used to establish a fine-grain approach to instructional strategies that can be implemented in AEH systems, as a response to a particular learning style. The implementation of this adaptation pattern taxonomy is discussed, both generally and in detail.
Journal of Information Technology Education: Research
Aim/Purpose: Effective e-learning systems need to incorporate student characteristics such as learning style and knowledge level in order to provide a more personalized and adaptive learning experience. However, there is a need to investigate how and when to provide adaptivity based on student characteristics, and more importantly, to evaluate its value in learning enhancement. This study aims to bridge that gap by examining the effect of different modes of learning material adaptation and their sequences to the learning style and knowledge level of students in e-learning systems. Background: E-learning systems aim to provide acceptability and interactivity between students, instructors, and learning content anytime and anywhere. However, traditional systems are typically designed for generic students irrespective of individual requirements. Successful e-learning systems usually consider student characteristics such as learning style and knowledge level to provide more personalized ...
The notion that learning can be enhanced when a teaching approach matches a learner’s learning style has been widely accepted in classroom settings since the latter represents a predictor of student’s attitude and preferences. As such, the traditional approach of ‘one-size-fits-all’ as may be applied to teaching delivery in Educational Hypermedia Systems (EHSs) has to be changed with an approach that responds to users’ needs by exploiting their individual differences. However, establishing and implementing reliable approaches for matching the teaching delivery and modalities to learning styles still represents an innovation challenge which has to be tackled. In this paper, seventy six studies are objectively analysed for several goals. In order to reveal the value of integrating learning styles in EHSs, different perspectives in this context are discussed. Identifying the most effective learning style models as incorporated within AEHSs. Investigating the effectiveness of different approaches for modelling students’ individual learning traits is another goal of this study. Thus, the paper highlights a number of theoretical and technical issues of LS-BAEHSs to serve as a comprehensive guidance for researchers who interest in this area.
Proceedings of" Information …, 2004
In education, instructors adopt different instructional modes that correspond to their preferred teaching style: some focus on principles and others on applications; some present the material in a logical progression of small incremental steps, others proceed from the big picture to the detail and so on. On the other side, students are characterized by different learning styles: preferences or predispositions to behave in a particular way when engaged in a learning process. In the elearning area, adaptive educational hypermedia applications are designed in order to offer personalised learning experience based on the personal learning style. It has been proven that the good match between learning style and instructional design drives to effective learning. This paper proposes a systematic approach for designing leaning tasks for educational hypermedia applications that suit the individual learning style. In particular, we show how the design patterns approach can be used as a design model tool.
Computers & Education, 2012
Implementing instructional interventions to accommodate learner differences has received considerable attention. Among these individual difference variables, the empirical evidence regarding the pedagogical value of learning styles has been questioned, but the research on the issue continues. Recent developments in Web-based implementations have led scholars to reconsider the learning style research in adaptive systems. The current study involved a content analysis of recent studies on adaptive educational hypermedia (AEH) which addressed learning styles. After an extensive search on electronic databases, seventy studies were selected and exposed to a document analysis. Study features were classified under several themes such as the research purposes, methodology, features of adaptive interventions and student modeling, and findings. The analysis revealed that the majority of studies proposed a framework or model for adaptivity whereas few studies addressed the effectiveness of learning style-based AEH. Scales were used for learning style identification more than automatic student modeling. One third of the studies provided a framework without empirical evaluation with students. Findings on concrete learning outcomes were not strong enough; however, several studies revealed that suggested models influenced student satisfaction and success. Current trends, potential research gaps and implications were discussed.
Journal of Molecular Structure-theochem, 2006
It is obvious that we all have different approaches to learning. Psychologists call these individual differences learning styles (LS). Researchers provide recommendations for possible instructional strategies to support some LS in educational settings and, in particular, in web-based environments. The problem with most existing implementations is that the systems are bound to a certain LS model, and the LS representation it involves is defined and implemented by the designers of the system. The purpose of our approach is to separate definition of strategies from the system implementation and to allow authors or psychologists to define their own strategies in a domain-and LS-model independent way. We define a language for specifying instructional strategies and strategies for monitoring a learner's preferences, and a way of applying and visualizing them in the AHA! (Adaptive Hypermedia Architecture) system. This paper presents the results of our approach evaluation from the point of view of LS authoring easiness and satisfaction with the resulting adaptation.
International Journal of Emerging Technologies in Learning (iJET), 2017
This paper investigates the pedagogical basis of Adaptive Educational Hypermedia Systems (AEHS) that incorporate Learning Styles in order to accommodate user's learning style preferences and needs. Therefore, AES adapt the learning content, its presentation and navigation to the user's learning style preferences. We collect thirty three (33) Adaptive and Intelligent Web-based Educational Systems (AIWBES) that incorporate learning styles and discuss twenty of them, namely the AEHS, as the remaining are Intelligent Tutorng Systems. The main achievement of this work is the investigation of AEHS' pedagogical basis in terms of adaptation rules. We conclude that these systems follow similar patterns in their adaptation logic.
J. Univers. Comput. Sci., 2013
A distinct feature of an adaptive e-learning hypermedia system (AEHS) is the learner model it employs, that is, a representation of information about an individual learner. Learner modeling and adaptation are strongly correlated, in the sense that the amount and nature of the information represented in the learner model depend largely on the kind of adaptation effect that the system has to deliver. In fact, we see a problem arising when teachers assume similar learning styles, thinking styles, levels of knowledge and abilities for learners. This is because learners that are less able will feel that it is too difficult for them to follow and those that are more capable will feel as though the learning method is too easy. Teachers can adjust the standards; however, there may be conflicts between learners with varied styles. Thinking style, learning style, level of knowledge, preferences and ability of learner are part of learner's characteristics, which have significant influence ...
Intelligent Decision Technologies, 2013
An Adaptive E-learning Hypermedia System (AEHS) is an approach whose target is to personalize the learner's learning experience. A number of AEHS have been developed to support thinking styles as a source for adaptation. However, these systems suffer from several problems, namely: lack of maintenance adaptation to thinking style and the insertion of specific teaching strategies into learning content. This paper proposes an AEHS model based on thinking styles and knowledge level. On one hand, the developed prototype will assist a learner in accessing and using learning resources which are adapted according to his/her personal characteristics (in this case his/her thinking style and level of knowledge). On the other hand, it will facilitate the learning content teacher in the creation of appropriate learning objects and applying them to a suitable pedagogical strategy.
Most approaches to adaptive hypermedia were based around acquiring and representing learner's knowledge. While this is crucial for user modelling in general adaptive hypermedia, it is very limited for e-learning because it does not address the far more fundamental problem which is "learners learn in different ways, different learning styles and different thinking styles". The design of adaptive e-learning hypermedia system (AEHS) in this work is based on quantitative and qualitative research; the adaptive rules are deduced from the results of a psychological and pedagogical questionnaire. Pedagogical activities are the outcome of a series of deductions; the final activity sets are manifested in AEHS. In order to assess the positive effect and validity of adaptation on the basis of learners' thinking and learning styles, this study presents two subsequent experiments. The first experiment explores the relationship of thinking style and pedagogical activities to validate this specific psychological construct in the context of educational hypermedia. The second experiment presents the effect of a set of human factors (thinking style, learning style) in AEHS.
International Journal of Emerging Technologies in Learning (iJET), 2018
The purpose of this study was to investigate the pedagogical basis of Adaptive Educational Hypermedia Systems (AEHS) that incorporate Learning Styles concerning learning paradigms and learning theories through a meticulous review of the relevant published work. We investigated twenty (20) AEHS and analyze them comparatively to a variety of adaptivity determinants. Two are the pivotal points that are crucial in exploration of pedagogical approaches of these systems: the locus of control and the provided learning material. We conclude that these systems are based mostly on the learning paradigm of Cognitivism and Constructivism. In addition, we assume that the concept of learning theory is not such a narrow term, given that networked world imposes the concept of personal learning.
International Journal of Computer Science and Information Technologies, Vol. 2 (5), 2350-2353, 2011
"Herman Dwi Surjono, (2011), The Design of Adaptive E-Learning System based on Student’s Learning Styles, (IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 2 (5), 2350-2353 This paper discusses the design of adaptive e-learning system based on student’s learning styles. The system adaptivity is based on two learning style models, which are VAK and Felder. The VAK learning styles include visual, auditory, and kinesthetic, while the Felder learning styles include global and sequential. This system will combine these learning styles to alter its course presentation to each student. The system extends the advantages of conventional e-learning which are classroom and platform independence."
Loading Preview
Sorry, preview is currently unavailable. You can download the paper by clicking the button above.