Difference between revisions of "Content Narrative"

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|name=Content Narrative
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It is necessary to follow the theory of [[partially-ordered set]]<ref>{{:Book/Theory of Lattice and Order}}</ref> to help construct narrative in an exchangeable way.
=References=
<references/>
=Related Pages=


[[Category:Pedagogy]]
[[Category:Pedagogy]]
[[Category:Poset]]

Revision as of 02:54, 22 February 2022

Content Narrative or Content Trajectory, is a term defined in PKC to help organize the sequence of presentation of intellectual content. The goal is to assign a name to the data type, which should cover the same logical content with different ordering possibilities.

Content Trajectories as Partially Ordered Set

All Content Narratives will be recorded in a recursive data type, which is composed of the universal data type, Poset, to be shown in the following multi-leveled template, Logic Model.


Logic Model (Content Narrative) Template:LogicModel 02 22, 2022
Abstract Specification
Context Different persons would acquire content with different sequential orientations. Some might need a different set of preparatory material. Some might require an overall picture in the beginning. Therefore, organizing content in different narrative structures would be necessary.
Goal Provide a consistent input/output boundaries for every content module.
Success Criteria Content Narrative/Criteria
Concrete Implementation
Given Inputs When Process is executed... Then, we get Outputs
  1. PKC software tool
  2. MU Constitution
  3. Inter-organizational Workflow templates
Content Narrative/Process Content Narrative/Output
Boundary/Safety Conditions of Content Narrative
Content Narrative/Boundary

It is necessary to follow the theory of partially-ordered set[1] to help construct narrative in an exchangeable way.

References

Related Pages