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Open AccessJournal ArticleDOI

Enhancing student learning through hypermedia courseware and incorporation of student learning styles

TLDR
An adaptive hypermedia interface was developed that provided dynamic tailoring of the presentation of course material based on the individual student's learning style, and the authors believe students learned more efficiently and more effectively.
Abstract
This paper outlines attempts to enhance student learning by addressing different learning styles through course hypermedia. Students learn by a variety of different learning styles. Previously, instructors were unable to effectively address these different learning styles outside the classroom. Two approaches were developed to address this problem. The first approach was the development of hypermedia courseware. This provided a wide variety of tools which students could use to prepare for lessons. In this way students retained complete control over how they prepared for a lesson and could choose those hypermedia tools that were most conducive to their learning. An assessment of the multimedia and hypertext documents in the course revealed that the value of a particular multimedia tool to a student varied widely. Each student was traversing the course material according to his/her unique learning style. Unfortunately, the plethora of tools confused some students because they were uncomfortable making active choices of what course material would be most conducive to their learning. As a result, a second approach was adopted. An adaptive hypermedia interface was developed that provided dynamic tailoring of the presentation of course material based on the individual student's learning style. By tailoring the presentation of material to the student's learning style, the authors believe students learned more efficiently and more effectively.

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Journal Article

Contributions to Adaptive Educational Hypermedia Systems via On-Line Learning Style Estimation.

TL;DR: The proposed system makes use of Learning Style theories and associated diagnostic techniques, simultaneously avoiding certain error sources, and the influence of factors, such as reflection of cross-cultural environment differences and/or of slippery or lucky answers' influence on learning style estimation is reduced.
Journal ArticleDOI

A pedagogical framework to integrate learning style into intelligent tutoring systems

TL;DR: A pedagogical framework is presented that makes it possible to integrate learning style into an intelligent tutoring system based on the Felder-Silverman learning style model and has been designed in the context of CIMEL-ITS, which helps students learn object-oriented design using UML.
Proceedings ArticleDOI

Using Cognitive Traits for Improving the Detection of Learning Styles

TL;DR: It is demonstrated how the consideration of cognitive traits such as working memory capacity (WMC) can help in detecting learning styles, leading to higher precision of the results and therefore more accurate identification of learning styles which in turn lead to more accurate adaptivity for students.
Journal ArticleDOI

An Experimental Assessment of the Use of Cognitive and Affective Factors in Adaptive Educational Hypermedia

TL;DR: It is argued that individual differences at this intrinsic level are important and adaptation on these parameters through personalization technologies may have a positive effect on learning performance.
Proceedings ArticleDOI

Addressing learner diversity by promoting flexibility in e-learning environments

TL;DR: In the Global Campus project at Middlesex University, the differences in the learning styles of distance and classroom students were studied and the electronic learning resources and underlying pedagogical approach were examined to establish how effectively they accommodate the diverselearning styles of the students.
References
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Journal ArticleDOI

A Sign That Education is Maturing: Taxonomy of Educational Objectives, the Classification of Educational Goals, Handbook I: Cognitive Domain

TL;DR: Using Bloom's Taxonomy to Write Effective Learning Objectives: The Abcds of Writing Learning ObjectIVES: A Basic Guide.

Learning and Teaching Styles in Engineering Education.

TL;DR: A self-scoring web-based instrument called the Index of Learning Styles that assesses preferences on four scales of the learning style model developed in the paper currently gets about 100,000 hits a year and has been translated into half a dozen languages.
Journal Article

Reaching the Second Tier--Learning and Teaching Styles in College Science Education.

TL;DR: This paper defined two tiers of entering college students, the first consisting of those who go on to earn science degrees and the second those who have the initial intention and the ability to do so but instead switch to nonscientific fields.