Semantic Technologies in Learning Analytics

1,740 views

Published on

My presentation at the pre-conference workshop of the 1st International Conference on Learning Analytics and Knoweldge

https://tekri.athabascau.ca/analytics/

Published in: Education
0 Comments
1 Like
Statistics
Notes
  • Be the first to comment

No Downloads
Views
Total views
1,740
On SlideShare
0
From Embeds
0
Number of Embeds
7
Actions
Shares
0
Downloads
37
Comments
0
Likes
1
Embeds 0
No embeds

No notes for slide
  • Learning Object Context as is a kind of LO metadata (we also call it context-awareness metadata) that captures all the information that characterizes the specific situations (contexts) in which certain LO has been used. A (specific) learning situation is determined by the learning activity, the learning content, and the learner(s) involved. Aimed at capturing diverse kinds of learning situations typical for modern e-Learning environments In a nutshell, context, as defined here, is about a student (or a group of students) interacting with a learning content by performing certain activity with a particular purpose in mind.
  • implemented as an extension of the well-known open-source Reload Content Packaging Editor this design decision ensured that instructors effectively use the same tool for creating LOs, receiving and viewing automatically generated feedback about their use, and modifying the LOs accordingly. The main goal was to enable easier and wider acceptance of LOCO-Analyst.
  • Semantic Technologies in Learning Analytics

    1. 1. Semantic Technologies and Learning Analytics Dragan Ga šević Athabasca University Email: dgasevic@acm.org
    2. 3. <ul><li>The Social Web is here! </li></ul><ul><li>What now? </li></ul>
    3. 4. Topics to discuss – morning <ul><li>Semantics as a big promise </li></ul><ul><li>Learning ecosystems </li></ul><ul><li>Semantics and learning analytics </li></ul><ul><li>Open (research ) challenges </li></ul>
    4. 5. <ul><li>Part I </li></ul><ul><li>Semantics as a Big Promise </li></ul>
    5. 6. Semantic Web <ul><li>To create a universal medium for the exchange of data. </li></ul><ul><li>… to smoothly interconnect personal information management, enterprise application integration and the global sharing of commercial, scientific and cultural data. </li></ul><ul><li> Semantic Web Activity Statement http://www.w3.org/2001/sw/Activity </li></ul>
    6. 7. Semantic Web <ul><li>Key characteristics </li></ul><ul><ul><li>Anyone can say anything about anything </li></ul></ul><ul><ul><li>Explicit definition of the meaning </li></ul></ul>
    7. 8. What is an ontology? <ul><li>Definition (Swartout and Tate, 1999) </li></ul><ul><ul><li>the basic structure or armature around which a knowledge base can be built </li></ul></ul>
    8. 9. RDF
    9. 10. <ul><li>The Semantic Web is NOT opposite to the Social Web! </li></ul>
    10. 11. Semantic Web <ul><li>Ontologies: Interconnecting applications </li></ul><ul><ul><li>Shared domain conceptualizations </li></ul></ul>
    11. 12. Linked Data http://richard.cyganiak.de/2007/10/lod/
    12. 13. Linked Data http://richard.cyganiak.de/2007/10/lod/
    13. 14. Linked Data SPARLQ end points They enable data mash-ups http://richard.cyganiak.de/2007/10/lod/
    14. 15. Luxembourg, 22 Nov 2010 http://www.slideshare.net/rjw/bbc-linked-data-journey
    15. 16. Luxembourg, 22 Nov 2010 http://www.slideshare.net/rjw/bbc-linked-data-journey
    16. 17. http://www.slideshare.net/rjw/bbc-linked-data-journey
    17. 18. Luxembourg, 22 Nov 2010 http://www.slideshare.net/rjw/bbc-linked-data-journey
    18. 19. <ul><li>Part III </li></ul><ul><li>Learning Ecosystems </li></ul>
    19. 20. Today’s idea of “learning”
    20. 21. Learning Paths http://www.w3.org/2006/Talks/1023-sb-W3CTechSemWeb/DataServicesWebAppMetro2.jpg
    21. 22. Educational Ecosystems Authoring Reusability Packaging Educators Reusability Adaptivity Evolution Collaboration with educators and students
    22. 23. Educational Ecosystems Authoring Reusability Packaging Educators Feedback Learning and Collaborating Personalization Adaptivity Context-awareness Social interaction … Learners
    23. 24. Educational Ecosystems Educators Learners Authoring Reusability Packaging Learning and Collaborating Community Peer-Review Presenting Administration Mobile
    24. 25. Learning (Life) not in a box! A small part of a software engineer’s life
    25. 26. Learning ecosystem … … … … … A small part of a software engineer’s life
    26. 27. Learning Ecosystem <ul><li>Connect presently isolated islands - not ecological! </li></ul>Students/Educators <ul><li>Content </li></ul><ul><li>LORs </li></ul><ul><li>Libraries </li></ul><ul><li>Multimedia </li></ul><ul><li>Reuse </li></ul><ul><li>Pedagogy </li></ul><ul><li>User models </li></ul><ul><li>Adaptivity </li></ul><ul><li>Educational models </li></ul><ul><li>Collaboration </li></ul><ul><li>Chat </li></ul><ul><li>Discussion </li></ul><ul><li>Services </li></ul><ul><li>Community </li></ul><ul><li>Course, University, … </li></ul><ul><li>Portfolio </li></ul><ul><li>Evidence </li></ul><ul><li>Competencies </li></ul><ul><li>Peer-review </li></ul><ul><li>Courses </li></ul><ul><li>Publishing </li></ul><ul><li>Platforms </li></ul><ul><li>Mobile </li></ul><ul><li>Desktop </li></ul><ul><li>Domain tools </li></ul><ul><li>Mashed up with education tools </li></ul><ul><li>Desktop </li></ul><ul><li>Email </li></ul><ul><li>Firefox… </li></ul><ul><li>Authoring </li></ul><ul><li>Word </li></ul><ul><li>Frontpage </li></ul><ul><li>Reload… </li></ul><ul><li>Privacy </li></ul><ul><li>Policy </li></ul><ul><li>Identity </li></ul>
    27. 28. <ul><li>Part III </li></ul><ul><li>Semantics and Learning Analytics </li></ul>
    28. 29. <ul><li>“ A crazy problem requires a crazy solution!” </li></ul><ul><li>(Griff Richards, 2005) </li></ul>
    29. 30. Learning Context Ontology: LOCO Jovanović, J., Knight, C., Gašević, D., Richards, G., &quot;Learning Object Context on the Semantic Web,&quot; 6th IEEE International Conference on Advanced Learning Technologies , Kerkrade, The Netherlands, 2006 pp. 669-673 ( Best paper award ).
    30. 31. Education Social Semantic Web <ul><li>Combining Social and Semantic Web aspects </li></ul><ul><ul><li>OAST and LOCO-Analyst </li></ul></ul>
    31. 32. LOCO-Analyst LOCO-Analyst
    32. 33. Evaluation of LOCO-Analyst <ul><li>Predictors of the perceived utility </li></ul><ul><ul><li>information about interactions of students </li></ul></ul><ul><ul><ul><li>social networking </li></ul></ul></ul><ul><ul><li>students’ comprehension of content </li></ul></ul><ul><ul><ul><li>collaborative tagging </li></ul></ul></ul><ul><ul><li>intuitiveness & ease-to-understand of the presentation of the above two </li></ul></ul>
    33. 34. Evaluation of LOCO-Analyst <ul><li>Predictors of user interface perceived value </li></ul><ul><ul><li>students’ interaction with individual lessons </li></ul></ul><ul><ul><ul><li>individual learning – granularity level </li></ul></ul></ul><ul><ul><li>students’ activities in discussion forums and chat rooms </li></ul></ul><ul><ul><ul><li>social activities </li></ul></ul></ul><ul><ul><li>students’ comprehension of studied topics </li></ul></ul><ul><ul><ul><li>collaborative tagging </li></ul></ul></ul>
    34. 35. Harmonization of personal & organizational goals Jelena’s goal: Learn Catia http://intelleo.eu
    35. 36. Harmonization of personal & organizational goals Jelena’s goal: Learn Catia CATIA - Wikipedia, the free encyclopedia http://intelleo.eu
    36. 37. Harmonization of personal & organizational goals Jelena’s goal: Learn Catia Jelena’s profile http://intelleo.eu
    37. 38. http://intelleo.eu
    38. 39. http://intelleo.eu
    39. 40. <ul><li>Part IV </li></ul><ul><li>Open Challenges </li></ul>
    40. 41. Challenges <ul><li>Ontology development </li></ul><ul><ul><li>Similar to databases – someone needs to develop </li></ul></ul><ul><ul><li>Many are already available </li></ul></ul>
    41. 42. Challenges <ul><li>Some promising clues </li></ul><ul><ul><li>“ Little semantics goes a long way” </li></ul></ul><ul><ul><li>DPpedia as a big promise (remember BBC) </li></ul></ul><ul><ul><li>Ontologies and folksonomies </li></ul></ul>
    42. 43. Challenges <ul><li>Learning analytics for students </li></ul><ul><ul><li>Personal planning – social organizational </li></ul></ul><ul><ul><li>Experience sharing </li></ul></ul><ul><li>Learning analytics for organizations </li></ul><ul><ul><li>Learning organization & organizational learning </li></ul></ul><ul><li>Discourse analysis </li></ul><ul><ul><li>E.g., analyze based on the CoI model </li></ul></ul>
    43. 44. Challenges <ul><li>Ubiquitous learning analytics </li></ul><ul><ul><li>Tool and format independent </li></ul></ul><ul><ul><li>Aggregates and integrates </li></ul></ul><ul><li>Visual learning analytics </li></ul><ul><ul><li>Ubiquitous impossible w/o visual </li></ul></ul><ul><ul><ul><li>Information overload </li></ul></ul></ul>
    44. 45. http://projects.kmi.open.ac.uk/meducator/linkedlearning/ Heraklion, Greece, May 29-June 2, 2011 Submission: March 11, 2011
    45. 46. Submission: August 10, 2011
    46. 47. <ul><li>Learning analytics </li></ul><ul><li>more </li></ul><ul><li>meaningful & ubiquitous </li></ul><ul><li>with semantic technologies </li></ul>
    47. 48. Thank you!

    ×