An Overview of Usage Data Formats for Recommendations in TEL

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Presentation of the paper "An Overview of Usage Data Formats for ecommendations in TEL" held at the RecSysTel WS 2012 in Saarbrücken, Germany - paper available at CEUR-896 (http://ceur-ws.org/Vol-896/)

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An Overview of Usage Data Formats for Recommendations in TEL

  1. 1. An Overview of Usage Data Formats forRecommendations in TELShort paper Katja Niemann Maren Scheffel Martin Wolpers© Fraunhofer-Institut für Angewandte Informationstechnik FIT
  2. 2. Usage Data Focus here on the following domains  Learning analytics  Educational data mining Examples of successful use  Identification of irregularities of learning behaviour of students  Reflection and comparison of learning activities among students of a learning group  Personalized recommender systems© Fraunhofer-Institut für Angewandte Informationstechnik FIT
  3. 3. Comparison of prominent formats Contextualized Attention Metadata Activity Streams Learning Registry Paradata NSDL Paradata  Enhance the interoperability among usage data analysis tools and usage data storage silos© Fraunhofer-Institut für Angewandte Informationstechnik FIT
  4. 4. Contextualized Attention Metadata (CAM) Schmitz, H.-C., Wolpers, M., Kirschenmann, U., Niemann, K. 2012. ‚Contextualized Attention Metadata’. Human Attention in Digital Environments, Eds: Claudia Roda, Cambridge University Press, Cambridge, US, 2012 http://www.cup.es/catalogue/catalogue.asp?isbn=9780521765657 Core features  Event representation links entities without fixed roles  Linked Data approach to entities and events (open definition)© Fraunhofer-Institut für Angewandte Informationstechnik FIT
  5. 5. Activity Streams Snell, J., Atkins, M., Norris, W., Messina, C., Wilkinson, M., Dolin, R. 2012. JSON Activity Streams 1.0, http://activitystrea.ms/specs/json/1.0/ Core features  Activity representation links entities with fixed roles  Sequence of activity objects represent activity stream  Aims to provide usage info about single objects© Fraunhofer-Institut für Angewandte Informationstechnik FIT
  6. 6. Learning Registry Paradata Paradata Specification V1.0. https://docs.google.com/document/d/1IrOYXd3S0FUwNozaEG5tM7Ki4_AZPrBn-pbyVUz-Bh0/edit?hl=en_US&pli=1# Core features  Modified Activity Streams format  Used for aggregate representations© Fraunhofer-Institut für Angewandte Informationstechnik FIT
  7. 7. NSDL Paradata NSDL Paradata, 2012. https://wiki.ucar.edu/display/nsdldocs/comm_para+%28paradata+-+usage+data%29 Core features  Object-centric representation of usage of resource  Collection of all usage info in one representation per object© Fraunhofer-Institut für Angewandte Informationstechnik FIT
  8. 8. Conclusion and next stepsAutomatic Mapping: no one-size-fits-all mapping among the formats is possible! Extendable schemas Vocabularies not specified completely Open definition of some elements  metadata schemas that can include unknown schemas Automatic mapping: rules sets based on specific usage scenarios! Then: Generalize over rules sets to create less scenario specific rule sets.© Fraunhofer-Institut für Angewandte Informationstechnik FIT
  9. 9. Thanks a lot!Fraunhofer Institut für Angewandte Informationstechnik FITKatja NiemannMaren ScheffelMartin WolpersFirst.last@fit.fraunhofer.deSchloss Birlinghoven53754 Sankt Augustin© Fraunhofer-Institut für Angewandte Informationstechnik FIT

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