What are the main considerations when identifying content?

Content Identification:

Identification:

• Learning outcomes and objectives

o 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:

o How many items are there belonging to the collection?

o 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?

o 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?

o Are there additional, related projects?

o Are there links to different digital images?

o Are digital readings available, with links?

o 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?

o Are these aspirations/goals an extension of the learning outcomes, or do they go beyond them?