The Effects of Prior Knowledge on the Use of Adaptive Hypermedia Learning Systems

Since the learning style of each learner is different. Adaptive hypermedia learning system (AHLS) must fit different learner's needs. A number of AHLS have been developed to support learning styles as a source for adaptation. However, these systems suffer from several problems, namely: less attention was paid to the relationship between learning styles and learning performance. This paper proposes an AHLS model based on learning styles and learning performance. 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 learning style and level of knowledge). On the other hand, it will facilitate the learning content teacher in the creation of appropriate learning objects and their application to suitable pedagogical strategies.

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Gender Differences and Hypermedia Navigation

Online and Distance Learning ◽

10.4018/978-1-59904-935-9.ch026 ◽

2011 ◽

pp. 278-292

Author(s):

Jing Ping Fan ◽

Robert D. Macredie

Keyword(s):

Gender Differences ◽

Learning Style ◽

Empirical Studies ◽

Experimental Studies ◽

Individual Characteristics ◽

Learning System ◽

Adaptive Hypermedia ◽

Adaptive Presentation ◽

Hypermedia Learning ◽

Navigation Support

Adaptive hypermedia learning systems can be developed to adapt to a diversity of individual differences. Many studies have been conducted to design systems to adapt to learners’ individual characteristics, such as learning style and cognitive style to facilitate student learning. However, no research has been done specifically regarding the adaptation of hypermedia learning system to gender differences. This chapter therefore attempts to fill this gap by examining the published findings from experimental studies of interaction between gender differences and hypermedia learning. Analysis of findings of the empirical studies leads to a set of principles being proposed to guide adaptive hypermedia learning system design onthe basis of gender differences in relation to (i) adaptive presentation and (ii) adaptive navigation support.

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Supporting problem-solving performance in a hypermedia learning environment: The role of students’ prior knowledge and metacognitive skills

Computers in Human Behavior ◽

10.1016/j.chb.2012.01.026 ◽

2012 ◽

Vol 28 (4) ◽

pp. 1162-1169 ◽

Cited By ~ 7

Author(s):

Saniye Tugba Bulu ◽

Susan Pedersen

Keyword(s):

Problem Solving ◽

Learning Environment ◽

Prior Knowledge ◽

Metacognitive Skills ◽

Hypermedia Learning

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Learning Styles and Adaptive ICT-Based Learning Environment

Information Communication Technologies ◽

10.4018/978-1-59904-949-6.ch026 ◽

2008 ◽

pp. 413-429 ◽

Cited By ~ 2

Author(s):

Zlatko J. Kovacic

Keyword(s):

Learning Environment ◽

Learning Styles ◽

Intelligent Agents ◽

Intelligent Systems ◽

Economies Of Scale ◽

Adaptive Hypermedia ◽

Technological Infrastructure ◽

Hypermedia Learning ◽

Learning Path ◽

Determining Factor

This chapter has two aims. First, to provide an overview of learning styles research and secondly, to provide an overview of research in adaptive hypermedia learning environment systems, those where different learning styles are considered and used to create a personalized learning environment. For most distance education institutions individualization of the learning environment for each student is not an option because economies of scale are the determining factor of cost reduction. However, the latest advances in database management, artificial intelligent systems and intelligent agents provide a technological infrastructure for individualizing the learning path for every learner at a lower cost. This chapter focuses on learning styles and how we can integrate and use them as a source of adaptation in an adaptive hypermedia learning environment systems.

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Learning Styles and Adaptive ICT-Based Learning Environment

Online and Distance Learning ◽

10.4018/978-1-59904-935-9.ch013 ◽

2011 ◽

pp. 136-152

Author(s):

Zlatko J. Kovacic

Keyword(s):

Learning Environment ◽

Learning Styles ◽

Intelligent Agents ◽

Intelligent Systems ◽

Economies Of Scale ◽

Adaptive Hypermedia ◽

Technological Infrastructure ◽

Hypermedia Learning ◽

Learning Path ◽

Determining Factor

This chapter has two aims. First, to provide an overview of learning styles research and secondly, to provide an overview of research in adaptive hypermedia learning environment systems, those where different learning styles are considered and used to create a personalized learning environment. For most distance education institutions individualization of the learning environment for each student is not an option because economies of scale are the determining factor of cost reduction. However, the latest advances in database management, artificial intelligent systems and intelligent agents provide a technological infrastructure for individualizing the learning path for every learner at a lower cost. This chapter focuses on learning styles and how we can integrate and use them as a source of adaptation in an adaptive hypermedia learning environment systems.

Download Full-text