Search (5 results, page 1 of 1)

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Abstract

Textbooks are more available in electronic format now than in the past. Because textbooks are typically large, the end user needs effective tools to rapidly access information encapsulated in textbooks stored in digital libraries. Statistical similarity-based links among hypertextbooks are a means to provide those tools. In this paper, the design and the implementation of a tool that generates networks of links within and across hypertextbooks through a completely automatic and unsupervised procedure is described. The design is based an statistical techniques. The overall methodology is presented together with the results of a case study reached through a working prototype that shows that connecting hyper-textbooks is an efficient way to provide an effective retrieval capability.

Source

Journal of the American Society for Information Science and technology. 55(2004) no.5, S.414-430

Type

a

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Abstract

There has been an increased growth in the use of hypermedia to deliver learning and teaching material. However, much remains to be learned about how different learners perceive such systems. Therefore, it is essential to build robust learning models to illustrate how hypermedia features are experienced by different learners. Research into individual differences suggests cognitive styles have a significant effect on student learning in hypermedia systems. In particular, Witkin's Field Dependence has been extensively examined in previous studies. This article reviews the published findings from empirical studies of hypermedia learning. Specifically, the review classifies the research into five themes: nonlinear learning, learner control, navigation in hyperspace, matching and mismatching, and learning effectiveness. A learning model, developed from an analysis of findings of the previous studies, is presented. Finally, implications for the design of hypermedia learning systems are discussed

Source

Journal of the American Society for Information Science and technology. 53(2002) no.1, S.3-15

Type

a

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Abstract

Currently, adaptive educational hypermedia systems (AEHSs) are described using nonuniform methods, depending on the specific view of the system, the application, or other parameters. There is no common language for expressing the functionality of AEHSs, hence these systems are difficult to compare and analyze. In this paper we investigate how a logical description can be employed to characterize adaptive educational hypermedia. We propose a definition of AEHSs based on first-order logic, characterize some AEHSs resulting from this formalism, and discuss the applicability of this approach.

Type

a

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Abstract

The design and development of web-based educational systems for people with special abilities have recently attracted the attention of the research community. However, although a number of systems that claim to meet accessibility needs and preferences are proposed, most of them are typically supported by hypermedia and multimedia educational content that is specially designed for the user targeted group. Such approaches prevent their user groups (both learners and their tutors) from accessing other available resources. Therefore, it is important to be able to built generic e-learning systems that would allow the reuse of existing learning resources in different accessibility demanding applications. To this end, in this article we propose a methodology for defining an accessibility application profile that captures the accessibility properties of learning objects in a standard form and we examine its application to the IEEE Learning Object Metadata (LOM) standard.

Type

a

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Type

a