Evaluation Of The Use Of Semantic Web Technology

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    Evaluation Of The Use Of Semantic Web Technology - Presentation Transcript

    1. Andrew Lumpe
      David Wicks
      Seattle Pacific University
      Evaluation of the Use of Semantic Web Technology in a Collaborative Learning Environment
    2. OBJECTIVES
      Describe the application of a semantic web application in a collaborative learning environment.
      Report the results on student learning.
      Provide recommendations for future research and applications of semantic web technologies in educational environments.
    3. Overall Goal of Education
      The overall goal of education is to develop expertise
      Expert learners vs. Novice learners
      Have greater access to content
      Are more skilled at retrieving content
      Are better at adapting, changing, and recognizing when to apply knowledge
      Semantic technologies MAY be one way to help develop expertise
      (Bransford et al, 1999)
    4. dullhunk
    5. Collaborative Learning Research
      (Dillonbourg et al, 1996)
    6. Personal Learning Networks
      Holotescu&Grosseck, 2009
    7. TWINE
    8. How is [Twine] different than other social bookmarking tools like Delicious?
      “The difference between {the system} and most bookmarking services is that {the system} attempts to identify the resource the page is describing, rather than just recording the location of the page itself. “ (Clarke & Greig, 2009)
    9. Context
      Online graduate education course with weekly, interactive modules –Blackboard 9
      N=60
      Module 1
      General overview of course topics
      Data used as preTest
      TWINE not used
      Modules 2-6
      Specific Topics = Advance Organizers, Collaborative Learning, Inquiry/Induction, Conceptual Understanding, Multiple Intelligences
      TWINE used throughout
      Data used at postTest
    10. Methods
      Quasi Experimental Design
      Experimental group used TWINE
      Data sources = All text posts - discussion posts, blog entries, research papers, TWINE comments
      WordStat 5.1 – “a text mining tool for fast extraction of themes and trends”
      Build Dictionaries
      Related Words and Phrases
      Word exclusion list
      Key Word in Context (KWIC)
      MANCOVA
      IV = group assignment
      DV = module posts by five categories
      Covariate = pretest posts
    11. Results
      Incoming GPAs not different (F = .22, p = .64)
      Students posted many resources and comments in their twines
      These resources were regularly used in students’ posts
      Others outside the course joined and contributed to the twines
      356,322 total words used in posts
      8,612 related words/phrases included in analyses
      Equal variances on all DVs (Levene's Test)
    12. COLLABORATION
    13. a. R Squared = .331 (Adjusted R Squared = .060)
      b. R Squared = .461 (Adjusted R Squared = .243)
      c. R Squared = .461 (Adjusted R Squared = .243)
      d. R Squared = .390 (Adjusted R Squared = .143)
      e. R Squared = .718 (Adjusted R Squared = .604)
    14. Conclusions
      Use of a Personal Learning Network (TWINE) helped students develop richer, more coherent expertise in 3 out of 5 content categories.
      TWINE served as a collaborative repository of resources, ideas, and connections.
      The impact of the semantic nature of TWINE was not apparent.
    15. Next Steps
      • Further explore the qualitative differences in the students’ postings (latent semantic analysis)
      • Extended use may be needed in order for semantic technologies to learn interests and provide recommendations
      Continue to explore the use of collaborative, semantic technologies to enhance learning
      Twine T2?
      http://www.opencalais.com/
      http://www.puffinwarellc.com/ (iMetaSearch)
      http://www.stumpedia.com/
      http://imindi.com/
    16. Questions?

    + David WicksDavid Wicks, 1 month ago

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