• DocumentCode
    1729133
  • Title

    Interactive Exercises To Support Effective Learning of UML Structural Modeling

  • Author

    Frezza, Stephen ; Andersen, Wayne

  • Author_Institution
    Dept. of Comput. & Inf. Sci., Gannon Univ., Erie, PA
  • fYear
    2006
  • Firstpage
    7
  • Lastpage
    12
  • Abstract
    UML structural models involve understanding the semantic relationships of a visual language - specifically the relationships among class and instance diagrams, as well as the abstractions in relating these diagrams to the problem/design being modeled. The project presented in this paper focuses on student learning exercises wherein the students had the ability to navigate and "replay" a portion of a complex model that visually highlights the semantic meaning of various model features. The exercise was interactive, non-scripted, and problem-based, and allowed students to explore the semantics of applied UML and reflect on "mistakes" or extensions to the model. The significance of these findings indicate that non-scripted interactive learning exercises modeling complex visual semantics appears to have a positive impact with students least likely to succeed with the material
  • Keywords
    Unified Modeling Language; computer aided instruction; computer science education; visual languages; UML structural modeling; Web-based learning; class diagrams; instance diagrams; interactive tutorials; semantic relationships; student learning exercises; visual language; visual semantics; Aggregates; Collaboration; Education; Face recognition; Navigation; Object oriented modeling; Physics computing; Programming; Software design; Unified modeling language; Interactive Tutorials; Teaching UML; Web-based learning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Frontiers in Education Conference, 36th Annual
  • Conference_Location
    San Diego, CA
  • ISSN
    0190-5848
  • Print_ISBN
    1-4244-0256-5
  • Electronic_ISBN
    0190-5848
  • Type

    conf

  • DOI
    10.1109/FIE.2006.322717
  • Filename
    4117120