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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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Book ChapterDOI

ULEARN: Personalised Learner’s Profile Based on Dynamic Learning Style Questionnaire

TL;DR: The algorithm used in ULEARN to reduce dynamically the number of questions in Felder-Silverman learning style questionnaire used to initialize the adaptive learner profile is presented.
Book ChapterDOI

Enhancing Adaptivity in Moodle: Framework and Evaluation Study

TL;DR: A framework that can be used to embed an adaptivity mechanism to Moodle so as to achieve better learning results is presented and results indicated that the extension affected students’ motivation and performance while their feedback about its usability was positive.
Journal ArticleDOI

The Role of Learner Characteristics in the Adaptive Educational Hypermedia Systems: The Case of the MATHEMA

TL;DR: The characteristics of the learners used by the developed adaptive educational hypermedia systems to date are explored to draw conclusions about their relation to the adaptation techniques they use and to be explained the rationale for selecting of the learner’s characteristics for adaptation techniques of the MATHEMA.
Journal ArticleDOI

Technology-Enhanced Learning: An Optimal CPS Learning Application

Yu Hung Chien
- 01 Aug 2019 - 
TL;DR: The results show that the students’ CPS performance in HCA was significantly greater than that in HH, and students with verbal, global, and reflective learning styles performed significantly better on CPS tasks than did students with visual, sequential, and active learning styles.
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.