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  • 标题:Teaching of Computer Science Topics Using Meta-Programming-Based GLOs and LEGO Robots
  • 本地全文:下载
  • 作者:Vytautas STUIKYS ; Renata BURBAITE ; Robertas DAMASEVICIUS
  • 期刊名称:Informatics in Education
  • 印刷版ISSN:1648-5831
  • 出版年度:2013
  • 卷号:12
  • 期号:1
  • 页码:125-142
  • 出版社:Institute of Mathematics and Informatics
  • 摘要:

    The paper's contribution is a methodology that integrates two basic technologies (GLO and LEGO robot) to teach Computer Science (CS) topics at the school level. We present the methodology as a framework of 5 components (pedagogical activities, technology driven processes, tools, knowledge transfer actors, and pedagogical outcomes) and interactions among the components. GLOs are meta-programmed entities to generate LO instances on demand depending on the context of use and learning objectives. A GLO is a black-box entity, which is integrated in the framework through the generating process to source the teaching and learning process via robot-based visualization to demonstrate how programs and algorithms are transformed into real-world tasks and processes. The methodology is tested in the real e-learning setting. The pedagogical outcomes are evaluated by empirical data showing the increase of student engagement level, higher flexibility and reuse enhancement in learning.

  • 关键词:learning object (LO); generative learning object (GLO); LEGO NXT robot; CS teaching; educational visualization
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