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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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Proceedings ArticleDOI

An experience on e-learning in renewable energy: design and control of photovoltaic plants

TL;DR: The design and implementation of a distance e-learning course on design and control of photovoltaic plants and the obtained academic results are analyzed establishing the benefits and future developments.
Dissertation

Intelligent support for group work in collaborative learning environments

Shuangyan Liu
TL;DR: A multi-agent architecture to unify all the components derived for intelligently managing online collaborative learning, which suggests an overarching framework providing context for other parts of this thesis is explored.
Journal ArticleDOI

Öğrenci̇ kilavuzu: çevri̇mi̇çi̇ teknoloji̇ler öğrenme sti̇lleri̇ne göre nasil kullanilabi̇li̇r

TL;DR: Yapilan arastirmalar, ogrencilerin ogrenci basarilarini artirdigini gostermektedir, Yaparak/Dusunerek, Sirali/Butunsel alt boyutlari kullanilmistir as mentioned in this paper.
Proceedings ArticleDOI

Proposing a Classification Methodology to Reduce Learning Style Combinations for Better Teaching and Learning

TL;DR: This work finds the major classifications of learning styles among students and suggests suitable Teaching Learning Strategies and the reliability of this Learning Style Model is tested.
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.