Authoring Learning Objects in Context

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Authoring Learning Objects in Context

• Marcus Specht, Milos Kravcik
• Fraunhofer-Gesellschaft
• Institute for Applied Information Technology FIT
• Sankt Augustin, Germany
• kravcik_at_fit.fraunhofer.de

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Learning Objects Context

• Why do we need metadata?Precision of retrieval
  author, learner Personalization adaptivity
• How to support authoring of metadata?Defaults,
  Inheritance, Copying Automatic generation from
  context
• How to identify current context?Sensors
  physical semantic context
• Adaptive Methods for Personalization
• Remotely Accessible Field Trips (RAFT)
• New Qualities of Contextualized Learning
• Personalized Learning in Context
• Context Management

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Adaptive Methods for Personalization
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Integrating Context Data, User Modeling and
Adaptation
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Remotely Accessible Field Trips (RAFT)

• to demonstrate the educational benefits and
  technical feasibility of remote field trips
• to establish extensions on current learning
  material standards and exchange formats for
  contextualization of learning material
• to establish new forms of contextualized
  learners collaboration with real time video
  conferencing and audio communication in authentic
  contexts

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RAFT Workflow Process
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New Qualities of Contextualized Learning

• Cooperative task work
• Distributed work on a task
• Context allows the learners to immerse in the
  learning subject at hand
• Active construction of knowledge and learning
  materials
• Motivation self made learning material get
  integrated in the curriculum
• Field trips are a blended learning process
• Teachers specify preparation materials,
  distribute user roles, and define field and
  classroom tasks
• Collected materials need to be reviewed and
  archived in standardized formats to ensure reuse
  and quality assurance

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Manual Annotation with Subjective Metadata
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Automatic Annotation with Objective Metadata
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Personalized Learning in Context
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Extended Learning Object Architecture

• To realize the support for different metadata
  schemas and the usage in learning scenarios new
  components
• Flexible Metadata Schema Supportframework to
  support different metadata schemas and a web
  based tool that allows authors and creators of
  learning content to choose from different
  metadata schemas available
• Sensor Integration and Sensor Server possibility
  to record sensor measurements and combine them
  with data collections
• Context Metadata based Filtering and Presentation
  of Learning Objects content presentation tools
  that allow filtering of information based on
  contextual metadata

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Context Management System
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Context Sensor Board
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Summary

• Hypothesis 1 Integrating Context Modeling and
  User Modeling will enable new forms of Learning
  Experiences
• Hypothesis 2 Mobile Situated Collaboration
  Support is a key for Integrated Learning Support
  in Nomadic Activities
• Hypothesis 3 Multimodal Interfaces are a key
  issue to ubiquitous Information Access and
  Contextualized Learning Experiences
• UM05 - PROLEARN Workshop on Personalized
  Adaptive Technologies for Professional
  Traininghttp//www.win.tue.nl/laroyo/PROLEARN05-
  Workshop/