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Assumptions
- Assets in CMS have metadata to support search/narrowing/filtering
- A question = ACI, 1 video = ACI
- Product Building can be done over a period of time and can be iterated on (i.e. need sandbox)
- Build up knowledge about an ACI over time to support selection (social media concept)
- User persona for this workflow is a subject matter expert (no assumed technical expertise)
- SME doesn’t concern themselves with composite asset problem/completeness
- SME doesn’t worry about back-end technical details
- Tuning supports expected performance
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Open Questions
- • Permission check
- • How to accommodate non-CMS stored items (e.g a YouTube video)
- • Where does reporting live? (Usage etc)
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• Is combining CDFs something we want to do? (Splits)
- o What is the smallest reusable unit of CDF
- • Where do instructor course & section level metadata belong?
- • What will help users with selection of relevant assets?
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• What metadata will help users search. How do users want to search/filter, etc? Possibilities include:
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Descriptive
- • Learning objective(s)
- • Concept(s) 1-n (a given problem may cover 1-n concepts)
- • Type (e.g. multiple choice, word problem etc.)
- • Use (e.g. eligible for HW, quiz, exam, etc. )
- • Pre-reqs (e.g. building blocks tied to problem - foundational concepts)
- • Seat time
- • Rule of 4 (algebraic, graph, table, visual)
- • Level of difficulty
- • Pedagogical Approach (ET - Early Transcendental/LT - Late transcendental, AP)
- • Major (e.g. life sciences oriented problems, nursing related, engineering students related etc.)
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Administrative
- • Math palette type (i.e. the set of characters needed for a given problem)
- • Score
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Notes
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Must be ISBN agnostic
- What are the OLR/Cengage Brain Implications?
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User Reporting Reps
- John White
- Amanda Lyons
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Platforms Impacted
- CCMS
- 4LTR
- MT
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Effiacy Data
- From Adelaide's 'Notes from Product Builder Brainstorm'.
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Glossary
- CDF Course Definition FIle
- ACI Atomic Content Instance
- Activity 2:N ACI