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it - Information Technology

Methods and Applications of Informatics and Information Technology

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Volume 60, Issue 2

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Instructional methods in computing education judged by computer science teachers and educational experts

Andreas Zendler
  • Corresponding author
  • Department of Computer Science, University of Education, Reuteallee 46, Ludwigsburg, 71634, Germany
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Published Online: 2018-03-22 | DOI: https://doi.org/10.1515/itit-2017-0015

Abstract

Answers to the questions of which instructional methods are suitable for school, what instructional methods should be applied in teaching individual subjects and how instructional methods support the act of learning represent challenges to general education and education in individual subjects. This article focuses on empirical examinations of instructional methods for computer science education supporting knowledge processes in the act of learning and their integration into the context of significant learning theories. The results of this article show that certain instructional methods are especially predestined for computer science education. They can also be attributed to behavioristic, cognitivist and constructivist learning theories; they are thereby localized and can profit from the empirical findings of the learning theories, especially in practical use on teaching computer science.

Keywords: Computer science education; instructional methods; teaching tools; knowledge processes; act of learning; theory of learning

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About the article

Andreas Zendler

Andreas Zendler studied psychology and computer science at the University of Regensburg and the University of Potsdam. 1988 Dr phil. in experimental psychology. 1997 Dr rer. nat. in computer science. 2000 habilitation in computer science. From 1988 until 2004 consultant for software engineering with Softlab. Since 2005 professor for computer science education at the University of Education Ludwigsburg. Research areas: Empirical computer science education, experimental designs in educational studies, data science.


Received: 2017-08-09

Revised: 2018-01-18

Accepted: 2018-02-05

Published Online: 2018-03-22

Published in Print: 2018-04-25


Citation Information: it - Information Technology, Volume 60, Issue 2, Pages 79–90, ISSN (Online) 2196-7032, ISSN (Print) 1611-2776, DOI: https://doi.org/10.1515/itit-2017-0015.

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