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Session Overview
Open Recognition Networks — OB Challenges (4)
Thursday, 26/Oct/2017:

Location: Breakout Session Room

Key challenge: how to make learners, individuals and citizens the builders of Open Recognition Networks?

Statement: Current recognition systems are structured around the individual. In contrast, Open Recognition Networks are structured around a shared community space and common context of goals and badges, where social understanding can develop and grow. Open Recognition Networks can be a place where badges and endorsements are created and understood. They can serve as an interface between a community and web services that server that community.

Questions: How do people construct their identity in relation to others in a community? How can we build meaningful visual representations from Open Badges, Open Endorsements and other verifiable claims that are more meaningful because they exist in a community? How can these representations enable reflection and action? How do they contribute to one’s identity construction? How do they facilitate the emergence of bottom-up recognition systems?

Use cases:

  • Community of practice: visualising the status of members (expert, apprentice, etc.)

  • Reputation-based recruitment services

  • Recognition of prior learning

Related challenges:

  • Communication

  • Employment connections

  • Mapping

  • History/timeline

  • Statistics: density, rate of endorsements, growth in badges, etc.

  • Events

More details here


No contributions were assigned to this session.

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