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Didactic potential of using systems for visualization of algorithms in the process of teaching programming

https://doi.org/10.21686/1818-4243-2019-2-31-41

Abstract

The article is devoted to the didactic potential on the use of the visualizer of algorithms as software, which graphically demonstrates the work of algorithms for processing input data. There are described the difficulties arising during the study of the fundamentals of algorithmization and programming. The author proposed to use the algorithm visualizer, as an auxiliary visual means of teaching algorithmization, for more successful mastering the mechanism of the algorithms at lectures. The article discusses the functional requirements for the visualizer of algorithms, describes its main elements and guidelines for the use of visualizers of algorithms in the educational process. In order to increase the effectiveness of the educational process, it is proposed to use the visualizer of algorithms for teaching algorithms and programming for students of the “Applied Informatics” direction as future specialists in the information technologies.

The purpose of the study is to increase the efficiency of the development of algorithmic thinking among students of the specialty “Computer Science”, due to the support and active use of the algorithm visualizer as an additional visual tool for learning when studying the course “Fundamentals of Programming”.

Materials and research methods include the analysis of scientific and methodological literature on the subject under study, the analysis of the problem of developing algorithmic thinking by students, the practical implementation of the learning process of the basics of algorithmization and programming using the developed algorithms visualizer, the analysis of students’ survey results.

Results. The research conducted by the author allowed the creation of an instrumental environment an algorithm visualizer that supports the formation of problem solving skills, enhancing the effectiveness of the learning process in the fundamentals of algorithmization and programming and the development of algorithmic thinking. Have been implemented visualizers, that allowing online demonstration of the work of algorithms for processing static data structures (arrays), which contributes to the comprehension and consolidation of theoretical material. Visualizers are introduced into the educational process at Balti State University A. Russo and are used in studying the course “Fundamentals of Programming”.

Conclusion. The author comes to the conclusions about the expediency of the visual description of the algorithm, proposes methods for using the algorithms visualizer in the educational process, and highlights positive factors that affect the understanding the mechanism of algorithm execution when organizing training using visualizers.

About the Author

V. D. Moglan
Alecu Russo Balti State University
Moldova, Republic of

Diana V. Moglan – Cand. Sci. (Pedagogy), Associate Professor of the Department of Mathematics and Computer Science, Faculty of Exact Sciences, Economics and the Environment 

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References

1. Cadrul național al calificărilor: Învățământul Superior. Chișinău: Bons Ofices; 2015. 493 p. [Internet] URL: https://mecc.gov.md/sites/default/files/cnc_22_31_32_33_34_38_42_44_55_85.pdf

2. Nefedova V.Yu., Prilepina A.V. On the didactic means of studying the informatics content line “Algorithmization and Programming” [Internet]. Pis’ma v Emissiya. Offlayn = Letters to the issue. Offline. 2018; 4 (April). URL: http://www.emissia.org/offline/2018/2607.htm (In Russ.)

3. Deynego N.V., Kabak V.I., Moglan D.V. Osnovy programmirovaniya: Bazovyy kurs. = Basics of programming: Basic course. Balti: Balti University Press; 2016. 234 p. (In Russ.)

4. Drobushevich L.F., Konakh V.V. The use of visual technology in the process of learning programming.Informatizatsiya obrazovaniya – 2010: pedagogicheskiye aspekty sozdaniya informatsionno-obrazovatel’noy sredy: materialy mezhd. nauch. konf. = Informatization of education – 2010: pedagogical aspects of creating an informational and educational environment: materials of scientific conference. Minsk; 2010: 166-170. (In Russ.)

5. Knut D. Iskusstvo programmirovaniya. Tom 1Osnovnyye algoritmy. = The art of programming. Volume 1. The main algorithms. Moscow: Williams; 2002. 720 p. (In Russ.)

6. Kormen T., Leyzerson Ch., Rives R. Algoritmy. Postroyeniye i analiz = Algorithms. Construction and analysis. Moscow: MTSNMO; 2001. 960 p. (In Russ.)

7. Gazeykina A.I. Thinking styles and programming training for students of a pedagogical university [Internet].Informatsionnyye tekhnologii v obrazovanii = Information technologies in education. 2006. URL: http://ito.edu.ru/2006/Moscow/I/1/I-1-6371.html (In Russ.)

8. Eremin O.F. Metodicheskoye posobiye po programmirovaniyu na yazyke Paskal’ = Methodical manual on programming in Pascal. Moscow: Mozdok; 2009. 49 p. (In Russ.)

9. Smol’yaninov A.V. Features of the visual programming environment BLS for use in the educational process.Komp’yuternyye instrumenty v obrazovanii = Computer tools in education. 1999; 1: 15-21. (In Russ.)

10. Bazhenova I.V. Visual modeling in teaching programming.Vestnik Chelyabinskogo gosudarstvennogo pedagogicheskogo universiteta. Pedagogicheskiye nauki = Bulletin of the Chelyabinsk State Pedagogical University. Pedagogical sciences. 2017; 6: 15-20. (In Russ.)

11. Kalitina V.V. Methodology of mental training in programming students of information areas of training.Vestnik Krasnoyarskogo gosudarstvennogo pedagogicheskogo universiteta im. V.P. Astaf’yeva = V.P. Astafieva Bulletin of the Krasnoyarsk State Pedagogical University. 2015; 1 (31): 45–48. (In Russ.)

12. Kazakov M.A., Shalyto A.A. The use of automaton programming for the implementation of automata. Komp’yuternyye instrumenty v obrazovanii = Computer tools in education. 2004; 2: 19–33. (In Russ.)

13. Katai Z., Juhasz K., Adorjani A.K. On the role of senses in education.Computers & Education. 2008. Vol. 51 (4): 1707–1717. DOI: 10.1016/j. compedu.2008.05.002.

14. Avancena A.T., Nishihara A. Usability and pedagogical assessment of an algorithm learning tool: A case study for an introductory programming course for high school [Internet]. Issues in Informing Science and Information Technology. 2015. Vol. 12: 21-43. DOI: 10.28945/2184. URL: http://iisit.org/Vol12/IISITv12p021-043Avancena1817.pdf

15. Hundhausen C., Douglas S.A., Stasko J.T. A meta-study of algorithm visualization effectiveness [Internet].Journal of Visual Languages and Computing. 2002. Vol. 13: 259-290. DOI: 10.1006/ S1045-926X(02)00028-9. URL: https://www.cc.gatech.edu/~john.stasko/papers/jvlc02.pdf

16. Naps T. L., Roessling G., Almstrum V., Dann W., Fleischer R., Hundhausen C.D. Exploring the role of visualization and engagement in computer science education. SIGCSE Bulletin. 2003. Vol. 35(2): 131-152. DOI: 10.1145/960568.782998.

17. Bloom B.S. Taxonomy of educational objectives: The classification of educational goals: Handbook I: Cognitive domain. New York: Longman; 1994. 207 p.


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For citations:


Moglan V.D. Didactic potential of using systems for visualization of algorithms in the process of teaching programming. Open Education. 2019;23(2):31-41. (In Russ.) https://doi.org/10.21686/1818-4243-2019-2-31-41

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ISSN 1818-4243 (Print)
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