Methods of Training of Programming for Future Information Science Teachers via Distance Learning

Abstract
The article describes the main classifications of learning methods from the viewpoint of their application in distance learning of programming. From there, the following classifications are considered: classification by the methods of training material presenting, classification by the main types of didactic problems, and classification by the kinds of cognitive activity of students. Also, the article characterizes the level of skills and ability needed to solve programming training tasks: reproductive, meaningful, probative, and creative programming. The following didactic particularities of approaches to learning of programming are defined: focusing on material covering, algorithms, and on hardware.
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Citation
Sergey Onishchenko, 2013: Methods of Training of Programming for Future Information Science Teachers via Distance Learning, [in] E-learning & Lifelong Learning. Monograph. Sc. Editor Eugenia Smyrnova-Trybulska, Studio Noa for University of Silesia in Katowice, Katowice-Cieszyn, pp. 537-544. ISBN 978-83-60071-66-3
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