mLOCO: An Ontologybased Framework for ContextAware Mobile Learning

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m-LOCO An Ontology-based Framework for
Context-Aware Mobile Learning
SWEL _at_ ITS 08

• Melody Siadaty1, Carlo Torniai1, Dragan Gaevic
  1, 2, Jelena Jovanovic3, Ty Mey Eap1 and Marek
  Hatala1
• 1School of Interactive Arts and Technology, Simon
  Fraser University, Canada
• melody_siadaty, teap, mhatala_at_sfu.ca,
  carlotorniai_at_gmail.com
• 2School of Computing and Information Systems,
  Athabasca University, Canada
• dgasevic_at_acm.org
• 3 FON, School of Business Administration,
  University of Belgrade, Belgrade, Serbia
• jeljov_at_gmail.com

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Outline

• Introduction
• Ubiquitous Learning Context?
• m-LOCO An Ontological Framework
• Delivery Media Mobile Ontology
• Socially enhanced Pedagogy
• Context Capturing in m-LOCO
• Usage Scenarios
• Summary and Future Study

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Introduction

• E-learning environments
• anytime anywhere
• personalization learner-centered
• Rapid growth of usage of mobile technologies in
  everyday life
• ?spontaneous and short study phases?
• E.g. repetition/test preparation/looking up
  details

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Introduction

• ? Context-aware learning systems
• personalization
• learner-centered
• environmental factors (e.g. location, time of the
  day, delivery media)
• Representation Method ? Ontologies
• Goal capturing and usage of contextual info in
  context-aware learning environments

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Outline

• Introduction
• Ubiquitous Learning Context ?
• m-LOCOAn Ontology-Based Framework
• Delivery Media Mobile Ontology
• Socially-enhanced Pedagogy
• Context Capturing in m-LOCO
• Usage Scenarios
• Summary and Future Study

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Ubiquitous Learning Context?

• Context situational information
• any info to characterize the situation of an
  entity relevant to user--application interaction
• Different application domains different needs
  and requirements
• ? different interpretations of context

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Ubiquitous Learning Context ?

• ? mobile learning context
• learning context captured with regards to its
  delivery medium, i.e., the mobile devices.
• ?Learning context
• learners LOs pedagocial approach

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Outline

• Introduction
• Ubiquitous Learning Context Models
• m-LOCOAn Ontological Framework
• Delivery Media Mobile Ontology
• Socially enhanced Pedagogy
• Context Capturing in m-LOCO
• Usage Scenarios
• Summary and Future Study

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m-LOCO

• Our proposed framework built on top of an
  existing ontology-based model, LOCO

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Outline

• Introduction
• Ubiquitous Learning Context Models
• m-LOCO An Ontological Framework
• Delivery Media Mobile Ontology
• Socially-enhanced pedagogy
• Context Capturing in m-LOCO
• Usage Scenarios
• Summary and Future Study

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Delivery Media Mobile Ontology

• New devices new capabilities/features
• ? new vocabularies ?ontologies
• CC/PP (W3C) UAProf (OMA) Specifications

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Outline

• Introduction
• Ubiquitous Learning Context Models
• m-LOCOAn Ontological Framework
• Delivery Media Mobile Ontology
• Socially-enhanced pedagogy
• Context Capturing in m-LOCO
• Usage Scenarios
• Summary and Future Study

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Socially-enhanced SRL

• any time, any place ?self-regulatory skills
• Zimmermans Model
• also socially productive within communities of
  practice

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Socially-enhanced SRL
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Outline

• Introduction
• Ubiquitous Learning Context Models
• m-LOCOAn Ontological Framework
• Delivery Media Mobile Ontology
• Socially-enhanced pedagogy
• Context Capturing in m-LOCO
• Usage Scenarios
• Summary and Future Study

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Context Capturing

• a LO repository a context repository
• ?each LO in LO repository context data in
  m-LOCO based repository of LOC
• How to capture this context-related data?
• LO selection from the LO repository by learners
• System intelligently suggests and delivers LOs to
  learners
• ? gather and store all related contextual data in
  LOC Repository.

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Outline

• Introduction
• Ubiquitous Learning Context Models
• m-LOCOAn Ontological Framework
• Delivery Media Mobile Ontology
• Socially-enhanced pedagogy
• Context Capturing in m-LOCO
• Usage Scenarios
• Summary and Future Study

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Usage Scenarios Q1

• utilize the already available context data in
  m-LOCO repository

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Usage Scenarios Q2

• pair a learner during each activity with peers
  who are directly/indirectly linked to her in her
  social connections and,
• are performing the same activity (e.g.
  performance)
• in the same subject domain

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Usage Scenarios Q2
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Usage Scenarios Q3

• learner is asking for assistance/help for a
  specific topic during an activity
• enhancing social collaboration ?
• refer the learner to those peers in her social
  links
• whose level of skill makes them eligible to
  temporarily play the role of an assistant
• in that subject domain

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Usage Scenarios Q3
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Outline

• Introduction
• Ubiquitous Learning Context Models
• m-LOCOAn Ontological Framework
• Delivery Media Mobile Ontology
• Socially-enhanced pedagogy
• Context Capturing in m-LOCO
• Usage Scenarios
• Summary and Future Study

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Summary and Future Work

• To realize the requirements of ubiquitous
  learning contexts
• ?m-LOCO
• an ontological mobile learning framework
• enhances an already existing ontological
  framework with 2 ontological extensions

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Summary and Future Work

• Further investigating of the implementation of
  this approach and its integration into an
  operational learning environment.
• Evaluating the effectiveness of the proposed
  framework

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Thank You For Your Attention! Questions?