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Sökning: L773:9780769537115

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1.
  • Spikol, Daniel, 1965-, et al. (författare)
  • Integrating Co-design Practices into the Development of Mobile Science Collaboratories
  • 2009
  • Ingår i: ICALT '09: Proceedings of the 2009 Ninth IEEE International Conference on Advanced Learning Technologies. - Riga, Latvia : IEEE Press. - 9780769537115 ; , s. 393-397
  • Konferensbidrag (refereegranskat)abstract
    • Scientific practices increasingly incorporate sensors for data capture, information visualization for data analysis, and low-cost mobile devices for field-based inquiries  incorporating open web standards. While a broad range of design approaches for developing technology-enhanced learning has been used by researchers and practitioners for the last 15 years, significant challenges for educational use remain as new technologies and user experiences continually evolve outside the classroom. We focus on the specific design challenge of how to initiate the co-design process together with teachers, researchers, scientists, designers, and developers in order to devise and develop mobile science collaboratories that support open inquiry-based learning in ecology education. The outcomes presented in this paper point towards the need for additional methods to support co-design that take into consideration future user experiences needed for developing and implementing these types of learning activities.
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2.
  • Svensson, Martin, 1979-, et al. (författare)
  • Pinetree: A Learning Content Repository Based on Semantic Web Technologies
  • 2009
  • Ingår i: Ninth IEEE International Conference on Advanced Learning Technologies. - : IEEE Press. - 9780769537115 ; , s. 522-526
  • Konferensbidrag (refereegranskat)abstract
    • During the last few years, mobile devices such as cellular phones and PDAs have become sophisticated tools for creating digital content. Moreover, their built-in or attachable sensor capabilities make it possible to derive metadata that denote the context of the user. The challenge of annotating digital content with contextual metadata is a central part of our current research efforts and the main rationale for the development of Pinetree. Pinetree is a learning content repository based on Semantic Web technologies. The aim of the article is to explore the utility of using RDF (Resource Description Framework) as a data model in a learning content repository. We describe the different components of Pinetree and illustrate its use in a specific learning scenario. Our initial results indicate that a learning content repository based on RDF can be a flexible solution for digital content storage in terms of metadata expressivity, interoperability and data distribution.
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