Search (7 results, page 1 of 1)

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Abstract

Virtual environments enable a given information space to be traversed in different ways by different individuals, using different routes and navigation tools. However, we urgently need robust user models to enable us to optimize the deployment of such facilities. Research into individual differences suggests that the notion of cognitive style may be useful in this prcess. Many such styles have been identified. However, it is argued that Pask's work on holist and serialist strategies and associated styles of information processing are particularly promising in terms of the development of adaptive information systems. These constructs are reviewed, and their potential utility in 'real-world' situations assessed. Suggestions are made for ways in which they could be used in the development of virtual environments capable of optimizing the stylistic strengths and complementing the weaknesses of individual users. The role of neural networks in handling the essentially fuzzy nature of user models is discussed. Neural networks may be useful in dynamically mapping users' navigational behavior onto user models to anable them to generate appropriate adaptive responses. However, their learning capacity may also be particularly useful in the process of improving systems performance and in the cumulative development of more robust user models

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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

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Abstract

This article reports on the development of a novel method for the analysis of Web logs. The method uses techniques that look for similarities between queries and identify sequences of query transformation. It allows sequences of query transformations to be represented as graphical networks, thereby giving a richer view of search behavior than is possible with the usual sequential descriptions. We also perform a basic analysis to study the correlations between observed transformation codes, with results that appear to show evidence of behavior habits. The method was developed using transaction logs from the Excite search engine to provide a tool for an ongoing research project that is endeavoring to develop a greater understanding of Web-based searching by the general public.

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Date

17. 1.2000 13:16:22

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Date

22. 1.2017 16:45:48

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Abstract

Purpose - The purpose of this paper is to review recent developments in educational informatics relating to the provision by information systems of pedagogical support to web-based learners, and to propose further investigation of the feasibility and potential value of web-based "conversational" information systems to complement adaptive hypermedia and information retrieval systems. Design/methodology/approach - The potential of Pask's conversation theory is considered as a potentially useful framework for the development of information systems capable of providing pedagogical support for web-based learners, complementary to that provided by existing computer-assisted learning and adaptive hypermedia systems. The potential role and application of entailment meshes are reviewed in relation to other forms of knowledge representation including classifications, semantic networks, ontologies and representations based on knowledge space theory. Findings - Concludes that conversation theory could be a useful framework to support the development of web-based "conversational" information that would complement aspects of computer-assisted learning, adaptive hypermedia and information retrieval systems. The entailment mesh knowledge representation associated with conversation theory provides the potential for providing particularly rich pedagogical support by virtue of its properties of cyclicity, consistency and connectivity, designed to support deep and enduring levels of understanding. Research limitations/implications - Although based on a considerable body of theoretical and empirical work relating to conversation theory, the paper remains speculative in that the gap is still great between, on the one hand, what has so far been achieved and, on the other, the practical realisation of its potential to enhance web-based learning. Much work remains to be done in terms of exploring the extent to which procedures developed and benefits found in relatively small-scale experimental contexts can effectively be scaled to yield enhanced support for "real world" learning-related information behaviour. Originality/value - The ideas of Pask, discussed in this paper, are capable of guiding the structuring of information according to parameters designed to facilitate deep and enduring understanding via interactive "conversational" engagement between the conceptual structures of information source authors and learners. If one can scale Pask's work to "real world" learning-related information behaviour, one can increase the range of web-based information systems and services capable of providing pedagogical support to web-based learners.

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Source

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