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Are Variable, Array, and Object Diagrams in Introductory Java Textbooks Explanative?

Published:26 February 2020Publication History

ABSTRACT

Diagrams in textbooks are essential tools in explaining concepts. An effective diagram helps a novice learner build a runnable mental model, increase recall and improve problem-solving skills. Richard Mayer suggests that for a diagram to be effective, it must beexplanative and, thus, document two major features: \textitsystem topology andcomponent behaviour. We surveyed diagrams of variables, arrays and objects in 15 commonly used introductory Java textbooks to investigate if the diagrams are explanative. This abstract presents the analysis of arrays.

References

  1. Marc Berges and Peter Hubwieser. 2013. Concept Specification Maps: Displaying Content Structures. In Proceedings of the 18th ACM Conference on Innovation and Technology in Computer Science Education (ITiCSE '13).Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Richard Mayer and Joan K. Gallini. 1990. When Is an Illustration Worth Ten Thousand Words? Journal of Educational Psychology 82 (12 1990), 715--726. https: //doi.org/10.1037/0022-0663.82.4.715Google ScholarGoogle Scholar
  3. K. McMaster, B. Rague, S. Sambasivam, and S. Wolthuis. 2016. Coverage of CS1 programming concepts in C++ and Java textbooks. In 2016 IEEE Frontiers in Education Conference (FIE).Google ScholarGoogle Scholar
  4. George Papageorgiou, Vasilios Amariotakis, and Vasiliki Spiliotopoulou. 2017. Visual representations of microcosm in textbooks of chemistry: constructing a systemic network for their main conceptual framework. Chem. Educ. Res. Pract. 18 (2017), 559--571. Issue 4. https://doi.org/10.1039/C6RP00253FGoogle ScholarGoogle ScholarCross RefCross Ref

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  1. Are Variable, Array, and Object Diagrams in Introductory Java Textbooks Explanative?

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  • Published in

    cover image ACM Conferences
    SIGCSE '20: Proceedings of the 51st ACM Technical Symposium on Computer Science Education
    February 2020
    1502 pages
    ISBN:9781450367936
    DOI:10.1145/3328778

    Copyright © 2020 Owner/Author

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    Association for Computing Machinery

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    Publication History

    • Published: 26 February 2020

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