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Mastering model-driven engineering

Published:21 June 2014Publication History

ABSTRACT

The challenge of transforming the understanding of a problem into a validated solution is not a trivial task. Using the conceptual framework of cognitive apprenticeship we show two ways to guide novices towards becoming masters in model-driven engineering.

References

  1. J. S. Brown, A. Collins, and P. Duguid. Situated cognition and the culture of learning. Educational Researcher, 18(1):32--42, Jan-Feb 1989.Google ScholarGoogle ScholarCross RefCross Ref
  2. H. Burden, R. Heldal, and T. Adawi. Pair Lecturing to Model Modelling and Encourage Active Learning. In Proceedings of ALE 2012, 11th Active Learning in Engineering Workshop, Copenhagen, Denmark, June 2012.Google ScholarGoogle Scholar
  3. H. Burden, R. Heldal, and T. Siljamaki. Executable and Translatable UML -- How Difficult Can it Be? In APSEC 2011: 18th Asia-Pacific Software Engineering Conference, Ho Chi Minh City, Vietnam, December 2011. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Mastering model-driven engineering

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    • Published in

      cover image ACM Conferences
      ITiCSE '14: Proceedings of the 2014 conference on Innovation & technology in computer science education
      June 2014
      378 pages
      ISBN:9781450328333
      DOI:10.1145/2591708

      Copyright © 2014 Owner/Author

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 21 June 2014

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      ITiCSE '14 Paper Acceptance Rate36of164submissions,22%Overall Acceptance Rate552of1,613submissions,34%

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      ITiCSE 2024
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