Andreas Zendler Dieter Klaudt Zendler The Booklet I

The Booklet I

von Andreas Zendler Dieter Klaudt

Instructional Methods to Computer Science Education

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Beschreibung

The booklet contains 20 instructional methods for computer science education; each instructional method is described according to a uniform scheme.
There are so many teaching methods that it is difficult to keep up with them all. While there is an extensive range of standard reference works for most educational subjects containing overviews of the related methods, there is as yet no such work for com-puter science education in either the German-language or English-language literature addressing the application of teaching methods for school. The few published articles on computer science education teaching methods concen-trate partly on examples of teaching with methodological references to aspects such as direct instruction, inductive approaches to discovery learning and to experiment. The other focus of such articles assumes empirical standpoints related to computer science education in addressing widely varying topics of learning and teaching, e.g. constructivist teaching activities, “eXtreme teaching” and the effectiveness of two-person team programming. The booklet contains 20 instructional methods for computer science education; each instructional method is described according to a uniform scheme.

Autor*in

Andreas Zendler
Prof. Dr. 1978–1983 Studium der Psychologie in Regensburg. 1983–1988 Studium der Informa¬tik in München. 1988 Promotion in Experimentalpsychologie (Dr. phil.). 1997 Promotion in Prak¬tische Informatik (Dr. rer. nat.). 2000 Habilitation in Praktische Informatik (Dr. rer. nat. habil.). Von 1983–1987 Wissenschaftlicher Assistent. Von 1988–2004 Berater für Software Engineering. Ab 2005 Professor für Informatik und ihre Didak¬tik an der Pädagogischen Hochschule Ludwigsburg. Forschungs-schwerpunkte: Empirische Informatikdidaktik, Experimentelle Versuchsplanung in der pädagogisch-psychologischen Forschung, Large Scale Software Engineering, Data Science.

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Details

ISBN: 9783741813795
Verlag: epubli
Erscheinung: 24.05.2016

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