scispace - formally typeset
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.

read more

Citations
More filters
Journal ArticleDOI

Thinking styles in an intelligent and adaptive e-learning hypermedia tool

TL;DR: This paper proposes an AEHS model based on thinking styles and knowledge level that 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.
Book ChapterDOI

Development of Adaptive Social Network Based on Learners' Thinking and Learning Styles

TL;DR: In this article, a new approach is proposed to automatically detect learners' thinking and learning styles, and takes into account that learners' learning styles may change during the learning process in unexpected and unpredictable ways.
Proceedings ArticleDOI

History education through creative computing: Multi-dimensional views and interactive navigation of the historical development of a town

TL;DR: An emerging (research-in-progress) creative computing prototype is introduced, refined iteratively through user feedback, to retrieve and display information regarding a historical timeline composition of a town, in particular a Canadian prairie town.

On an adjustable three-layer fuzzy cognitive map

TL;DR: A three-layers Fuzzy Cognitive Map (FCM) in conjunction with a dynamic Hebbian rule for learning styles recognition is proposed, which improves the accuracy of recognition obtained using Bayesian Networks that uses quantitative measurements of learning style taken from statistical samples.
Book ChapterDOI

Intra-domain User Model for Content Adaptation

TL;DR: Results show that personalization of contents in a discipline-wise manner is more effective during the learning process of a student.
References
More filters
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.