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Towards Context-specific Personalised Help in Moodle
Michael O’Mahony - Clarity Centre, UCDMark Melia – Enovation Solutions
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Context – Percolate Project
• e-Learning Industry working with academic researchers
• Industry defined challenging use cases• Challenge is to apply research to use case• Third level use case – helping students with
problemsIndustry Academia
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The Problem
• Students working online needs help• Finding wood from trees difficult on WWW
• I need help with X now!– Understand subject – Pedagogically sound– Personalised to me
photo by London College of Fashion
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The Problem
• NDLR (DSpace) Moodle search
• One size fits all • Celebrate individuality – Prior knowledge– Type of resources– Course context
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Recommender system
• Hooks Moodle into a learning resource repository
• Search understands what peers found useful• Search understands the conceptual structure of
subject• Uses conceptual structure to understand
learners needs• Results organised according to a pedagogical
strategy
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Software Testing
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How does it work?
• Semantic search– Based on conceptual structure of subject area
• Social search – Based on whether “similar” learners found a
resource useful• Composition engine– Compose resources from search into learning
episode
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• 18 DCU 4th year Mechanical Engineering students
• 6 week trial (complete)
• Students used application in the context of the following assignment:
User Trial
“You are a process engineer for a multi-internationalinstitution that wishes to introduce an advanced manufacturing technology for one of their new advanced material based products…”
DCU Trial
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• 527 completed search sessions
• 419 results selected (130 distinct results)
• User feedback:
– 36 results rated or tagged
– 34 post-confidence scores for concepts
User Trial
DCU Trial
“Good system, still in its early stages” [Student A]
“A wider range of information needs to be uploaded in order for it to accomodate
the academic objectives of the materials module” [Student B]
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Next Steps
• Percolate LTC• Better UI• Manual effort • Non-intrusive methods of gaining info
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Questions?
Contact: [email protected]
Acknowledgements:
Dr. Dermot Brabazon – DCUCatherine Bruen – NDLR
We kindly acknowledge Enterprise Ireland for their support for this project.
Contact: [email protected]