What if annotations were reusable: a preliminary discussion

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Paper presented in ICWL09

Manouselis, N., & Vuorikari, R. (2009). What if annotations were reusable: a preliminary discussion. In M. Spaniol et al. (Ed.), Advances in Web-Based Learning - ICWL 2009, Lecture Notes in Computer Science (Vol. 5686, pp. 255–264). Berlin Heidelberg: Springer-Verlag.

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What if annotations were reusable: a preliminary discussion

  1. 1. What if annotations were reusable: a preliminary discussion - ICWL 2009 - Nikos Manouselis, Greek Research & Technology Network Riina Vuorikari, European Schoolnet
  2. 2. Outline • Problem statement • A possible solution: a conceptual model and pilot • Further discussion points
  3. 3. Problem scenario 1 The same learning resource, that’s metadata has been federated, is tagged on different portals: LeMill, LRE, and Koolielu
  4. 4. Problem scenario 2
  5. 5. Problem scenario 2 The same movie is found and rated in three different application contexts: a movie recommender system, an e- commerce site, and an educational portal
  6. 6. Problem description • Implicit and explicit feedback is hard to acquire (e.g. LRE) – Ratio: search-bookmark 5.5:1 – Ration: play-bookmark 3.2:1 – Ratio: play-rate 2.7:1 • This feedback is needed to better guide users (e.g. recommendations, social navigation) • Social information can make users more efficient! (Vuorikari and Koper, 2009)
  7. 7. An idea! A structured way to represent different types of user feedback from different contexts could prove of particular value.
  8. 8. Hypothetical questions? • Can we represent and store user feedback in a structured, interoperable and reusable format? • Is it safe to assume that the user feedback can be used in another application domain, e.g. a new recommender system in a different application context?
  9. 9. Capturing user feedback To be reusable, the user feedback should • be in a structured and interoperable format • reflect the annotation scheme (e.g. tag, rating, multi-rating) • incorporate some information about the context in which it has been collected
  10. 10. model
  11. 11. Capturing user feedback Different frameworks exist: • Contextualized Attention Metadata Framework • Attention Profiling Markup Language (APML) • User Labor Markup Language (ULML) • Microformat, e.g. Google support Vuorikari, R. & Berendt, B. (2009). Study on contexts in tracking usage and attention metadata in multilingual technology enhanced learning.
  12. 12. Capturing user feedback (e.g.CAM)
  13. 13. Capturing user feedback (example of microformats)
  14. 14. Pilot in Organic.Edunet • A registry of annotation schemes for learning resources • To store annotation schemes, ratings and tags from different environments on learning resources • To be used to create better services for users (e.g. recommendation, social navigation)
  15. 15. Pilot in Organic.Edunet
  16. 16. Conceptual work in Aspect • IMS LODE Information for Learning Object Exchange (ILOX) – different facets: • for LOM, • for folksonomies, • annotations • ratings • ...
  17. 17. Lots of issues... • How to identify the same item in many different contexts (no persistent IDs)? • Is it necessary to encode the information about the user who annotated? – Tags are interesting BECAUSE of (user,item,tag) triple • Do users really find an annotation from another context useful? • ...
  18. 18. thanks! for your attention comments? questions? http://aspect-project.org/ http://lreforschools.eun.org www.organic-edunet.eu

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