Search (7 results, page 1 of 1)

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Date

22. 1.2017 16:45:48

Imprint

London : Facet Publishing

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Abstract

The evidence based electronic library is defines as one which exploits the potential of electronic technology to enable users to make informed decisions based on the best available evidence

Source

Electronic library and visual information research: Proceedings of the 4th ELVIRA Conference (ELVIRA 4), Electronic Library and Visual Information Research, De Montfort University, Milton Keynes, May 1997. Ed. by C. Davies u. A. Ramsden

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Abstract

Research into information retrieval (IR) cannot yet answer the basic question of how we can design IR systems to help people search for information with optimal levels of effectiveness. In relation to human-system interaction, we have failed to develop any valid and at the same time robust user models capable of driving practical system development. If we strip away assumptions and over-optimism relating to the generalisability of what are essentially sporadic and fragmented research efforts, the great "darkness to light" ratio characterising our knowledge of human aspects of IR becomes apparent. From a more critical and pessimistic (but by no means less realistic) perspective, we are getting nowhere fast. A range of strategies is proposed to improve the situation by supporting relatively "horizontal" as well as "vertical" knowledge integration. These consist of: greater use of pluralistic research approaches; enhanced access to research data; more multidisciplinary and multi-perspective integrative reviews and conceptual mappings; and establishing a greater critical mass of published research findings sufficient to support the generation of a less sparse and fragmented evidence-based knowledge map. The potential of electronic publishing and data access for helping achieve these goals is discussed.

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Abstract

Reports on 4 experiments conducted at Sheffield University, Department of Information Studies, UK, into cognitive models which illuminate how people learn using electronic media. The experiments dealt with: learning strategies in an unconstrained electronic environment, in a hypertext environment, and in database searching, and matching and mismatching learning styles. Discusses the positive or negative implications for the design of electronic learning materials suggested by these experiments

Source

Electronic library and visual information research: Proceedings of the First ELVIRA Conference (ELVIRA 1), Electronic Library and Visual Information Research, De Montfort University, Milton Keynes, May 1994. Ed. by M. Collier u, K. Arnold

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Abstract

Proposes the development of an 'intelligent document' as a key component of the future electronic library; in which the intelligent documents in a library collection may be thought of as the ability of documents or a collection of documents to adapt to differing characteristics of individual information seekers and users. Proposes the sort of intelligent document that could: identify particular learning strategies being used by individual users; classify them in terms of a model of learning capable of making explicit relationships between strategies, individual differences, learning tasks, and learning outcomes; and offer, on the basis of this model, individualized strategic advice (or take individualized strategic action) relating to how the user might most productively go forward. Describes results obtained during the study, conducted at the Department of Information Studies, Sheffield University, UK, involving PRECIS documents, fuzzy data analysis and artificial neural networks

Source

Electronic library and visual information research: Proceedings of the Second ELVIRA Conference (ELVIRA 2), Electronic Library and Visual Information Research, De Montfort University, Milton Keynes, May 1995. Ed. by M. Collier u, K. Arnold

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Date

17. 1.2000 13:16:22

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Source

Journal of information science. 22(1996) no.2, S.79-92