Search (4902 results, page 1 of 246)

  1. DeRaedt, L.: Logical settings for concept-learning (1997) 0.19
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    Abstract
    Analyzes 3 different formalisations of concept-learning in logic. Learning from interpretations reduces to learning from entailment, which in turn reduces to learning from satisfiability. Discusses the implications for inductive logic programming and computational learning theory and formulates guidelines for choosing a problem-setting method
    Date
    6. 3.1997 16:22:15
    22. 1.1999 18:56:45
  2. Carroll, J.M.; Mack, R.L.: Metaphor, computing systems and active learning (1985) 0.15
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    Source
    International journal of man-machine studies. 22(1985), S.39-57
  3. Ackermann, E.: Piaget's constructivism, Papert's constructionism : what's the difference? (2001) 0.13
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    Abstract
    What is the difference between Piaget's constructivism and Papert's "constructionism"? Beyond the mere play on the words, I think the distinction holds, and that integrating both views can enrich our understanding of how people learn and grow. Piaget's constructivism offers a window into what children are interested in, and able to achieve, at different stages of their development. The theory describes how children's ways of doing and thinking evolve over time, and under which circumstance children are more likely to let go of-or hold onto- their currently held views. Piaget suggests that children have very good reasons not to abandon their worldviews just because someone else, be it an expert, tells them they're wrong. Papert's constructionism, in contrast, focuses more on the art of learning, or 'learning to learn', and on the significance of making things in learning. Papert is interested in how learners engage in a conversation with [their own or other people's] artifacts, and how these conversations boost self-directed learning, and ultimately facilitate the construction of new knowledge. He stresses the importance of tools, media, and context in human development. Integrating both perspectives illuminates the processes by which individuals come to make sense of their experience, gradually optimizing their interactions with the world.
    Content
    Vgl.: https://www.semanticscholar.org/paper/Piaget-%E2%80%99-s-Constructivism-%2C-Papert-%E2%80%99-s-%3A-What-%E2%80%99-s-Ackermann/89cbcc1e740a4591443ff4765a6ae8df0fdf5554. Darunter weitere Hinweise auf verwandte Beiträge. Auch unter: Learning Group Publication 5(2001) no.3, S.438.
  4. Limberg, L.; Alexandersson, M.: Learning and information seeking (2009) 0.12
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    Abstract
    The purpose of this entry is to present and analyze the relationship between learning and information seeking. The analysis draws on research studies on information seeking set in educational contexts and is framed in theories of learning, mainly constructivism. Themes of the entry are based on five dimensions of the relationship between learning and information seeking: 1) seeking information for learning purposes; 2) learning information seeking; 3) teaching information seeking; 4) learning from information; and 5) reshaping conditions for information seeking and learning through information and communications technologies (ICTs). Conclusions are that the fields of learning and information seeking draw nearer to one another partly due to educational ideas based in constructivism and partly due to the development of digital tools that reshape conditions for learning in postmodern society. This development contributes to the transformation of the professional role of librarians, implying an emphasis on the pedagogical aspects of the profession. Future prospects for information seeking research and practice linked to learning may involve strengthened interests in the cognitive authority and expertise of information as well as information sharing through communicative interaction.
    Date
    27. 8.2011 14:22:22
  5. Limberg, L.: Information seeking and learning outcomes : a study of the interaction between two phenomena (1998) 0.11
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    Abstract
    Presents and discusses some findings from a dissertation research project aimed at investigating the interaction between students' information seeking and use and the learning outcomes of an assignment
    Date
    22. 5.1999 18:43:51
  6. Zhou, Q.; Lee, C.S.; Sin, S.-C.J.; Lin, S.; Hu, H.; Ismail, M.F.F. Bin: Understanding the use of YouTube as a learning resource : a social cognitive perspective (2020) 0.11
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    Abstract
    Drawing from social cognitive theory, the purpose of this study is to examine how personal, environmental and behavioral factors can interplay to influence people's use of YouTube as a learning resource. Design/methodology/approach This study proposed a conceptual model, which was then tested with data collected from a survey with 150 participants who had the experience of using YouTube for learning. The bootstrap method was employed to test the direct and mediation hypotheses in the model. Findings The results revealed that personal factors, i.e. learning outcome expectations and attitude, had direct effects on using YouTube as a learning resource (person ? behavior). The environmental factor, i.e. the sociability of YouTube, influenced the attitude (environment ? person), while the behavioral factor, i.e. prior experience of learning on YouTube, affected learning outcome expectations (behavior ? person). Moreover, the two personal factors fully mediated the influences of sociability and prior experience on YouTube usage for learning. Practical implications The factors and their relationships identified in this study provide important implications for individual learners, platform designers, educators and other stakeholders who encourage the use of YouTube as a learning resource. Originality/value This study draws on a comprehensive theoretical perspective (i.e. social cognitive theory) to investigate the interplay of critical components (i.e. individual, environment and behavior) in YouTube's learning ecosystem. Personal factors not only directly influenced the extent to which people use YouTube as a learning resource but also mediated the effects of environmental and behavioral factors on the usage behavior.
    Date
    20. 1.2015 18:30:22
  7. Wood, F.; Ford, N.; Miller, D.; Sobczyk, G.; Duffin, R.: Information skills, searching behaviour and cognitive styles for student-centred learning : a computer-assisted learning approach (1996) 0.11
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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
  8. Zhang, L.; Pan, Y.; Zhang, T.: Focused named entity recognition using machine learning (2004) 0.11
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    Date
    15.10.2005 19:57:22
  9. Buchel, O.; Coleman, A.: How can classificatory structures be used to improve science education? (2003) 0.11
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    Abstract
    There is increasing evidence that libraries, traditional and digital, must support learning, especially the acquisition and enhancement of scientific reasoning skills. This paper discusses how classificatory structures, such as a faceted thesaurus, can be enhanced for novice science learning. Physical geography is used as the domain discipline, and the Alexandria Digital Earth Prototype project provides the test bed for instructional materials and user analyses. The use of concept maps and topic maps for developing digital learning spaces is briefly discussed.
    Date
    10. 9.2000 17:38:22
  10. McCormick, A.; Sutton, A.: Open learning and the Internet in public libraries (1998) 0.10
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    Abstract
    Presents the findings of the South Ayrshire Libraries OPen Learning and the Internet project, Sep 1997 to Oct 1998. The objective was to demonstrate how open learning materials available on the Internet could be integrated with the provision of local open learning resources to provide an enhanced learning environment in public libraries. The main areas of concentration within the project were information skills support to public library users and the provision of WWW based independent materials to learners. The organisation and retrieval of Web based resources for local use was a major issue throughout the project. Recommends the adoption of Dublin Core metadata standards, the connection of databases of resources with searchable wen pages, and the development of thesauri of terms used to index the Web based resources locally. Sstaff training, and the new skills which will need to be developed, were identified as issues. Cost was also identified as a related issue, extending to issues such as access to open learning material and the Internet
    Date
    22. 5.1999 18:55:19
  11. Parker, S.; Jackson, M.: ¬The importance of the subject librarian in resource based learning : some findings of the IMPEL2 Project (1998) 0.10
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    Abstract
    The IMPEL2 Project, a JISC-funded Electronic Libraries Programme project based at the University of Northumbria, Newcastle, UK, is focusing on the human and organizational aspects of electronic library development. The project has 5 individual but linked strands, one of which is looking at the implementation of resource based learning in higher education institutions and the impact upon Information Services staff. Reports the findings of the IMPEL2 Project on resource based learning which indicate that the role of the subject librarian in academic libraries is changing, that subject librarians are taking on new duties and responsibilities and have an important part to play in the mplementation of resource based learning
    Date
    22. 5.1999 18:39:43
  12. Hotho, A.; Bloehdorn, S.: Data Mining 2004 : Text classification by boosting weak learners based on terms and concepts (2004) 0.10
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    Content
    Vgl.: http://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&ved=0CEAQFjAA&url=http%3A%2F%2Fciteseerx.ist.psu.edu%2Fviewdoc%2Fdownload%3Fdoi%3D10.1.1.91.4940%26rep%3Drep1%26type%3Dpdf&ei=dOXrUMeIDYHDtQahsIGACg&usg=AFQjCNHFWVh6gNPvnOrOS9R3rkrXCNVD-A&sig2=5I2F5evRfMnsttSgFF9g7Q&bvm=bv.1357316858,d.Yms.
    Date
    8. 1.2013 10:22:32
  13. Nyseter, T.: Learning centres and knowledge management : based on common ideas? (2005) 0.09
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    Abstract
    New roles for libraries and librarians in the information and knowledge society are discussed worldwide. The purpose of this paper is to present the ideas behind the philosophy of Learning Centres (LC) and Knowledge Management (KM) respectively, and make a comparative study between the two approaches. The paper is based on KM theory and a case-study of the Learning Centres at Oslo University College (OUC), and was originally written as a theme paper in connection to the course "Information in Organizations and Knowledge Management" which is part of the Masters' programme in Library and Information science at OUC.
    Date
    22. 7.2009 11:55:29
  14. Robinson, D.A.; Lester, C.R.; Hamilton, N.M.: Delivering computer assisted learning across the WWW (1998) 0.09
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    Abstract
    Demonstrates a new method of providing networked computer assisted learning to avoid the pitfalls of traditional methods. This was achieved using Web pages enhanced with Java applets, MPEG video clips and Dynamic HTML
    Date
    1. 8.1996 22:08:06
  15. Goeller, K.E.: Web-based collaborative learning : a perspective on the future (1998) 0.09
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    Abstract
    Web technologies may radically alter the way in which we learn and the business model of corporate and professional training. Examines issues relating to the design and delivery of online learning
    Date
    1. 8.1996 22:08:06
  16. Prytherch, R.: Informations landscapes for a learning society : networking and the future of libraries (1998) 0.09
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    Abstract
    Reports on a 3 day conference organized by the UK Office for Library and Information Networking (UKOLN), at the University of Bath. This attempted to demonstrate that the information (super) highway has now become an information landscape, owing to the increasingly pervasive influence of digital and electronic information. Future roles of the information profession within this new landscape were examined, as well as new partnerships; metadata; the learning society; the role od the voluntary sector; and digitization
    Date
    22. 5.1999 19:40:38
  17. Krulwich, B.; Burkey, C.: ¬The InfoFinder agent : learning user interests through heuristic phrase extraction (1997) 0.09
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    Abstract
    Introduces the InfoFinder agent, which uses innovative approaches for learning user information interests from sets of messages or other online documents that users have classified. It learns general profiles from documents by heuristically extracting phrases that are likely to represent the document's topis
    Source
    IEEE expert. 12(1997) no.5, S.22-27
  18. Ng, K.B.; Loewenstern, D.; Basu, C.; Hirsh, H.; Kantor, P.B.: Data fusion of machine-learning methods for the TREC5 routing tak (and other work) (1997) 0.09
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    Date
    27. 2.1999 20:59:22
  19. Relevance (1997) 0.09
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    Content
    A special issue devoted to relevance in learning and reasoning systems. The special issue addresses questions in automating relevance reasoning, focusing on autonomous systems with limited computational and sensory resources, embedded in dynamic environments. Considers definitions of relevance
    Date
    6. 3.1997 16:22:15
  20. HaCohen-Kerner, Y. et al.: Classification using various machine learning methods and combinations of key-phrases and visual features (2016) 0.09
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    Date
    1. 2.2016 18:25:22

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