What are the main considerations when identifying content?

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Content Identification:


  • Learning outcomes and objectives
    • How does the AR-version of the course fit with the already-established learning outcomes?
  • This is particularly important, given that projects like SCARLET insisted that it would be content-driven, not technology-driven; therefore, the content needs to work in conjunction with the overall rationale for the original course’s development.
  • Narrowing/Expanding:
    • How many items are there belonging to the collection?
    • How can the number be limited or expanded, while still retaining the integrity of the original idea of the course, based on the material object(s)?
  • Are the records/objects digitised already?
    • What is the availability of the objects?
  • Special Collections, e.g., specialised handling and conditions?
  • Completely digital and freely available?
  • Completely digital with conditional use?
  • What are other areas available for research?
    • Are there additional, related projects?
    • Are there links to different digital images?
    • Are digital readings available, with links?
    • Can links to library-stored reading lists available (from related courses)?
  • Are there connections and links to the general university curriculum?
  • How does the AR-version of the course connect to wider discussions of the material objects(s)?
  • How does the AR-version of the course connect to wider discussions of the technologies in place?
  • What are the larger aspirations/goals of the project?
    • Are these aspirations/goals an extension of the learning outcomes, or do they go beyond them?
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