Search (14 results, page 1 of 1)

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Abstract

Undergraduates were tested to establish how they searched databases, the effectiveness of their searches and their satisfaction with them. The students' cognitive and learning styles were determined by the Lancaster Approaches to Studying Inventory and Riding's Cognitive Styles Analysis tests. There were significant differences in the searching behaviour and the effectiveness of the searches carried out by students with different learning and cognitive styles. Computer-assisted learning (CAL) packages were developed for three departments. The effectiveness of the packages were evaluated. Significant differences were found in the ways students with different learning styles used the packages. Based on the experience gained, guidelines for the teaching of information skills and the production and use of packages were prepared. About 2/3 of the searches had serious weaknesses, indicating a need for effective training. It appears that choice of searching strategies, search effectiveness and use of CAL packages are all affected by the cognitive and learning styles of the searcher. Therefore, students should be made aware of their own styles and, if appropriate, how to adopt more effective strategies

Source

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

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Abstract

The primary aim of the study was to investigate the effect of the absence of postings information on online searches and searching behaviour and these results were reported in Journal of information science 20(1994) no.1. The secondary aim, reported here, was to assess the cognitive styles of the participants to ensure that the population was sufficiently vareid in this respect and to investigate possible correlations between cognitive ability and searching behaviour. Throughout the project, searches were made by postgraduates at the department of information studies, University of Sheffield using the LISA database on CD-ROM. A total of 67 searchers carried out 275 searches, both with and without postings information. Reports significant differences in both searching behaviour and search outcomes obtained by those with different learning styles, with and without postings information. Significant correlations were found between cognitice styles and online searching. Searchers characterized by different learning styles tend to adopt different search strategies and strategies associated with comprehension and operation learning styles result in qualitatively different searching performance. Searching approaches associated with a versatile style are the most effective. Making feedback in the form of postings available enables comprehension and operation learners, and field independent searchers, to change their apporach in qualitatively different ways. Other findings are reported and discussed

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Abstract

In "Part 4. Cognitive Styles in Information Seeking,'' where Ford is the primary author, the results of the application of the Riding's Cognitive Styles Analysis and the Pask's holist/serialist portion of the Ford's Study Process Questionnaire to the 111 U.K. participants. were correlated using Spearman's coefficient with reports of focused thinking, degree of change in the intermediary's perception of the problem and personal knowledge, problem stage, degree of differentiating activity, change in problem perception, engagement in exploring activity, changes in questioning, valuing of serendipitous information, and other variables. The results would indicate that field independent individuals report clearer more focused thinking, see themselves in an earlier problem stage, and report higher levels of change in perception of the problem. Holists value serendipity and report engagement in Kuhlthau's exploring stage. They are seen by intermediaries as exhibiting fewer changes in questioning behavior. A fifth section will appear in a later issue.

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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

How postings information is used for inverted file searching was investigated by comparing searches, made by postgraduate students at the Dept. of Information Studies, of the LISA database on CD-ROM with and without postings information. Performance (the number of relevant references, precision and recall) was not significantly different but searches with postings information took more time, and more sets were viewed, than in searches without postings. Postings information was used to make decisions to narrow or broaden the search; to view or print the references. The same techniques were used to amend searches whether or not postings information was available. Users decided that a search was satisfactory on the basis of the search results, and consequently many searches done without postings were still considered satisfactory. However, searchers thought that the lack of postings information had affected 90% of their searches. Differences in search performance and searching behaviour were found in participants who were shown to have different learning styles using the Witkin's Embedded Figures test and the Lancaster Short Inventory of Approaches to Learning Test. These differences were, in part, explained by the differences in behaviour indicated by their learning styles

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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

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Abstract

Reports results of an investigation, undertaken at Sheffield University, Departmant of Information Studies, UK into the effects of postings information (the display on the screen of the number of references in the retrieved sets) on searching behaviour. Linked online searches were conducted, on the LISA database on CD-ROM, with and without postings information. Performance in terms of the number of relevant references, precision and recall was not significantly different whether postings information was available or not; but searches with postings information took more time and more sets were viewed than in searches without postings. Searchers thought that the lack of postings information had affected 90% of their searches. Proposes that training should place greater emphasis on the value of postings information at different stages of the search and should optimize the searching behaviour of those with different searching styles

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Abstract

This article reports the results of a study of the role of individual differences in Internet searching. The dimensions of individual differences forming the focus of the research consisted of: cognitive styles; levels of prior experience; Internet perceptions; study approaches; age; and gender. Sixty-nine Masters students searched for information on a prescribed topic using the AItaVista search engine. Results were assessed using simple binary relevance judgements. Factor analysis and multiple regression revealed interesting differences, retrieval effectiveness being linked to: male gender; low cognitive complexity; an imager (as opposed to verbalizer) cognitive style; and a number of Internet perceptions and study approaches grouped here as indicating low self-efficacy. The implications of these findings for system development and for future research are discussed.

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Abstract

In this issue we begin with the first of four parts of a five part series of papers by Spink, Wilson, Ford, Foster, and Ellis. Spink, et alia, in the first section of this report set forth the design of a project to test whether existing models of the information search process are appropriate for an environment of mediated successive searching which they believe characterizes much information seeking behavior. Their goal is to develop an integrated model of the process. Data were collected from 198 individuals, 87 in Texas and 111 in Sheffield in the U.K., with individuals with real information needs engaged in interaction with operational information retrieval systems by use of transaction logs, recordings of interactions with intermediaries, pre, and post search interviews, questionnaire responses, relevance judgments of retrieved text, and responses to a test of cognitive styles. Questionnaires were based upon the Kuhlthau model, the Saracevic model, the Ellis model, and incorporated a visual analog scale to avoid a consistency bias.

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Content

Inhalt: Learning: Basic Processes - Introduction - Basic Information Processes - Integrating Themes - Where do Integrating Themes come From? - Theory Generation and Testing - Learning: Individual Differences - Styles of Learning - Levels of Learning - References - Education - Educational Philosophies and Learning Design - Autonomy and Mediation - Library and Information Science - Standards for Supporting Resource Discovery - Information Seeking and Autonomous Learning - Information Seeking as Conversations - ICT Developments: Resource Discovery - Tools and Techniques to Support Information Seeking and Resource Discovery - Metadata - Ontologies and the Semantic Web - Educational Metadata and Ontologies - ICT Developments: Learning Design And Teaching - Intelligent and Adaptive Tutoring Systems - Learning Environments and Interoperability - General ICT-Based Developments - Educational Opportunities Afforded by ICT Developments - Educational Informatics Systems: Individual Approaches - Metadata-Enabled Learning Resource Discovery - Adaptive Systems for Personalised Resource Discovery - Open Corpus Resource Discovery - From Supplantation to Metacognition - Educational Informatics Systems: Social Approaches - Alternative Pedagogies - Educational Informatics Systems that Learn - Community-Based Learning - Real World Learning - Theory and Practice - Educational Informatics Support for Critical Thinking and Creativity - Making Sense of Research: Generating Useful Real World Knowledge - Going Forward: Research Issues and the Future - Different Perspectives on Educational Informatics Developments - Types Of Evidence - Contingent Dependencies, and Object and Meta Languages - Reality Checking For Quality Control - Towards the Learning Web

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Abstract

As digital libraries become a major source of information for many people, we need to know more about how people seek and retrieve information in digital environments. Quite commonly, users with a problem-at-hand and associated question-in-mind repeatedly search a literature for answers, and seek information in stages over extended periods from a variety of digital information resources. The process of repeatedly searching over time in relation to a specific, but possibly an evolving information problem (including changes or shifts in a variety of variables), is called the successive search phenomenon. The study outlined in this paper is currently investigating this new and little explored line of inquiry for information retrieval, Web searching, and digital libraries. The purpose of the research project is to investigate the nature, manifestations, and behavior of successive searching by users in digital environments, and to derive criteria for use in the design of information retrieval interfaces and systems supporting successive searching behavior. This study includes two related projects. The first project is based in the School of Library and Information Sciences at the University of North Texas and is funded by a National Science Foundation POWRE Grant <http://www.nsf.gov/cgi-bin/show?award=9753277>. The second project is based at the Department of Information Studies at the University of Sheffield (UK) and is funded by a grant from the British Library <http://www.shef. ac.uk/~is/research/imrg/uncerty.html> Research and Innovation Center. The broad objectives of each project are to examine the nature and extent of successive search episodes in digital environments by real users over time. The specific aim of the current project is twofold: * To characterize progressive changes and shifts that occur in: user situational context; user information problem; uncertainty reduction; user cognitive styles; cognitive and affective states of the user, and consequently in their queries; and * To characterize related changes over time in the type and use of information resources and search strategies particularly related to given capabilities of IR systems, and IR search engines, and examine changes in users' relevance judgments and criteria, and characterize their differences. The study is an observational, longitudinal data collection in the U.S. and U.K. Three questionnaires are used to collect data: reference, client post search and searcher post search questionnaires. Each successive search episode with a search intermediary for textual materials on the DIALOG Information Service is audiotaped and search transaction logs are recorded. Quantitative analysis includes statistical analysis using Likert scale data from the questionnaires and log-linear analysis of sequential data. Qualitative methods include: content analysis, structuring taxonomies; and diagrams to describe shifts and transitions within and between each search episode. Outcomes of the study are the development of appropriate model(s) for IR interactions in successive search episodes and the derivation of a set of design criteria for interfaces and systems supporting successive searching.

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Date

17. 1.2000 13:16:22

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Date

22. 1.2017 16:45:48