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SCO Control Net for the Process-Driven SCORM Content Aggregation Model

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3483))

Abstract

In this paper, we propose a new learning process (or experience) model, which is called SCO Control Net, to be possibly applicable to the SCORM content aggregation model for e-Learning management systems. In terms of the representation of the learning process model, the current SCORM content aggregation model supports a rule-based model for defining a set of rules that describe the intended sequence and ordering of learning activities in a tree-structured content organization. On the other hand, the SCO Control Net aims to support a process-based model for explicitly defining the rules. That is, it is intended to realize the concept of process-driven content organization by separating the learning process from the SCORM’s content organization. We would call that the former is content-driven aggregation model, and the later is process-driven aggregation model. This paper formalizes a theoretical basis of the process-driven aggregation model by representing the sequence of learning activities through the SCO control net. We strongly believe that the process-driven aggregation model delivers a way of much more convenient content aggregating work and system, in terms of not only defining the intended sequence and ordering of learning activities, but also building the runtime environment for sequencing and navigation of learning activities and experiences.

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References

  1. SCORM 2004 Overview. Advanced Distributed Learning (2004)

    Google Scholar 

  2. SCORM Content Aggregation Model, Version 1.3. Advanced Distributed Learning (2004)

    Google Scholar 

  3. SCORM Run-Time Environment, Version 1.3. Advanced Distributed Learning (2004)

    Google Scholar 

  4. Ellis, C.A., Nutt, G.J.: Office Information Systems and Computer Science. ACM Computing Surveys 12(1) (1980)

    Google Scholar 

  5. Ellis, C.A., Nutt, G.J.: The Modeling and Analysis of Coordination Systems. University of Colorado/Dept. of Computer Science Technical Report, CU-CS-639-93 (1993)

    Google Scholar 

  6. Ellis, C.A.: Formal and Informal Models of Office Activity. In: Proceedings of the 1983 Would Computer Congress, Paris, France (1983)

    Google Scholar 

  7. Bair, J.H.: Contrasting Workflow Models: Getting to the Roots of Three Vendors. In: Proceedings of International CSCW Conference (1990)

    Google Scholar 

  8. Kim, K.-H.: Practical Experience on Workflow: Hiring Process Automation by FlowMark. IBM Internship Report, IBM/ISSC Boulder Colorado (1996)

    Google Scholar 

  9. Kim, K.-H., Paik, S.-K.: Practical Experiences and Requirements on Workflow. Lecture Notes Asian 1996 Post-Conference Workshop: Coordination Technology for Col-laborative Applications, The 2nd Asian Computer Science Conference, Singapore (1996)

    Google Scholar 

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© 2005 Springer-Verlag Berlin Heidelberg

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Kim, KH., Kim, HA., Kim, CM. (2005). SCO Control Net for the Process-Driven SCORM Content Aggregation Model. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2005. ICCSA 2005. Lecture Notes in Computer Science, vol 3483. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11424925_5

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  • DOI: https://doi.org/10.1007/11424925_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25863-6

  • Online ISBN: 978-3-540-32309-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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