Journal of Technology and Information Education 2021, 13(2):205-223 | DOI: 10.5507/jtie.2022.002

SELECTED EDUCATIONAL ROBOTICS TOOLS FROM THE PERSPECTIVE OF PRIMARY SCHOOL STUDENTS

Milan KLEMENT, Lucie BRYNDOVÁ, Tomáš DRAGON, Petr ŠALOUN, Radek KUBÍČEK
Univerzita Palackého v Olomouci, Česká republika

The development of the concept of computational thinking in the curriculum of computer science subjects is one of the great challenges at present, and one of the important tools for the development of this way of thinking is educational robotics. The main goal of our work was to map the issue of educational robotics as one of the important tools for promoting the concept of development of computational thinking, based on pedagogical research methods. Therefore, a questionnaire research survey was carried out among pupils of selected primary schools, the course and results of which are described in the present paper.

Keywords: teaching informatics, computational thinking, educational robotics.

Received: April 20, 2021; Revised: January 3, 2022; Accepted: April 20, 2021; Prepublished online: February 4, 2022; Published: February 22, 2022  Show citation

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KLEMENT, M., BRYNDOVÁ, L., DRAGON, T., ŠALOUN, P., & KUBÍČEK, R. (2021). SELECTED EDUCATIONAL ROBOTICS TOOLS FROM THE PERSPECTIVE OF PRIMARY SCHOOL STUDENTS. Journal of Technology and Information Education13(2), 205-223. doi: 10.5507/jtie.2022.002
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References

  1. Angeli, Ch., & Valanides, N. (2020). Developing young children's computational thinking with educational robotics: An interaction effect between gender and scaffolding strategy. Computers in Human Behavior. DOI: 10.1016/j.chb.2019.03.018. Go to original source...
  2. Angeli, C., Voogt, J., Fluck, A., Webb, M., Cox, M., Malyn-Smith, J. & Zagami, J. A. (2016). Computational Thinking Curriculum Framework: Implications for Teacher Knowledge. Educational Technology & Society, 19(3). ISSN 1532-4516.
  3. Balanskat, A., Engelhardt, K. & Ferrari, A. (2017). 'The integration of Computational Thinking (CT) across school curricula in Europe', European Schoolnet Perspective, Eds. 2. ISBN 8719642334.
  4. Balanskat, A., Engelhardt, K. & Licht, A. H. (2018). Strategies to include computational thinking in school curricula in Norway and Sweden- European Schoolnet's 2018 Study Visit. European Schoolnet, Brussels. ISBN 1489745347.
  5. Bocconi, S., Chioccariello, A., Dettori, G., Ferrari, A. & Engelhardt, K. (2016). Developing computational thinking in compulsory education - Implications for policy and practice. European Schoolnet's 2018 Study Visit. European Schoolnet, Brussels. ISBN 148252697.
  6. Brennan, K. & Resnick, M. (2012). New frameworks for studying and assessing the development of computational thinking. In Proceedings of the 2012 Annual Meeting of the American Educational Research Association, Vancouver, Canada. ISBN 79584563741.
  7. Chráska, M. (2016). Metody pedagogického výzkumu: základy kvantitativního výzkumu. 2., aktualizované vydání. Praha: Grada. ISBN 9788024753263.
  8. CSTA & ISTE. (2011). Operational Definition of Computational Thinking for K-12 Education.
  9. Klement, M. (2018). Traditional topics for the framework educational programme focused on ICT area, and the perception of these topics by the primary school ninth grade pupils. Journal of Technology and Information Education, 10(1), s. 43-62. ISSN 1803-537X. Go to original source...
  10. Klement, M., Dragon, T. & Bryndová, L. (2021). Computational Thinking and How to Develop it in the Educational Process. 1. vyd., Olomouc, Vydavatelství UP, 216 s. ISBN 978-80-244-5796-3. DOI: 10.5507/pdf.20.24457963. Go to original source...
  11. MŠMT. (2017). Rámcový vzdělávací program pro základní vzdělávání. Praha. Dostupné z: http://www.msmt.cz/file/43792_1_1/ RVP ZV_2017_červen.pdf
  12. MŠMT. (2020). Strategie vzdělávací politiky ČR do roku 2030+. Praha. Dostupné z: https://www.msmt.cz/vzdelavani/skolstvi-v-cr/strategie-2030
  13. Román-Gonzáles, M., Pérez-González, J.-C. & Jiménez-Fernández, C (2017). Which cognitive abilities underlie computational thinking? Criterion validity of the Computational Thinking Test. Computers in Human Behavior, 72(1), s. 678-691. ISSN 2374-1463. Go to original source...
  14. Rubio, M. A., Romero-Zaliz, R., Mañoso, C. & De Madrid, A. P. (2015). Closing the gender gap in an introductory programming course. Computers & Education, 82(2), s. 409-420. ISSN 4578-3217. Go to original source...
  15. Sengupta, P., Kinnebrew, J. S., Basu, S., Biswas, G. & Clark, D. (2013). Integrating computational thinking with K-12 science education using agent-based computation: A theoretical framework. Education and Information Technologies. 18(2), s. 351-380. DOI: 10.1007/s10639-012-9240-x. Go to original source...
  16. So, H., Jong, M. S. & Liu, C. (2020). Computational Thinking Education in the Asian Pacific Region. Asia-Pacific Edu Res 29(1-8). DOI: 10.1007/s40299-019-00494-w Go to original source...
  17. Tang, X., Yin, Y., Lin, Q., Hadad, R. & Zhai, X. (2020). Assessing computational thinking: A systematic review of empirical studies. Computers & Education, 14(8). s. 152-167. ISSN 4578-3217. Go to original source...
  18. Tran, Y. (2017). Computational Thinking Equity in Elementary Classrooms: What Third-Grade Students Know and Can Do. Journal of Educational Computing Research. 2017, 57(1), s. 3-31. ISSN 2571-4597. Go to original source...
  19. Wing, J. M. (2014). Computational thinking benefit society. Social Issues in Computing blog.
  20. Wing, J. M. (2006). Computational thinking. Communications of the ACM, 49(3), s. 33-35. Go to original source...