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Multiple Intelligence’s and Computational Thinking

Year 2022, , 1 - 17, 23.04.2022
https://doi.org/10.18009/jcer.1027934

Abstract

Stakeholders from education are determined to introduce computational thinking (CT) and programming much earlier into the educational process. Thus, according to international trends, programming has grown progressively, reaching a significant focus within the EU and other countries. Since future research needs to be undertaken to investigate the interrelationship between CT skills and competencies, we designed a project to be carried out during one year with 9-year-old students attending a primary school of Basic Education. This article presents the results achieved until we had the chance since the COVID pandemic disturbed the investigation's final part.

Supporting Institution

CI&DEI-ESECD-IPG

Project Number

CI&DEI - Project Refª UIDB/05507/2020

Thanks

This work is funded by National Funds through the FCT - Foundation for Science and Technology, I.P., within the scope of the project Refª UIDB/05507/2020. Furthermore, we would like to thank the Centre for Studies in Education and Innovation (CI&DEI) and the Polytechnic of Guarda for their support.

References

  • Angeli, C. & Giannakos, M. (2020). Computational thinking education: Issues and challenges, Computers in Human Behavior, 105, 106185, pp3, doi.org/10.1016/j.chb.2019.106185
  • Bakala, E., Gerosa, A., Hourcade, J., & Tejera, G. (2021). Preschool children, robots, and computational thinking: A systematic review. International Journal of Child-Computer Interaction, 29, 100337, https://doi.org/10.1016/j.ijcci.2021.100337.
  • Bers, M. U. (2018). Coding and computational thinking in early childhood: The Impact of scratchJr in Europe. European Journal of STEM Education, 3(3), 08.
  • Fajrina, S., Lufri, L. & Ahda, Y. (2020). Science, technology, engineering, and mathematics (stem) as a learning approach to improve 21st century skills: A review. International Journal of Online & Biomedical Engineering, 16(7), 95-104.
  • Furber, S. (2012). Shut down or restart? The way forward for computing in UK schools. Technical report, London: The Royal Society.
  • Gerosa, A., Koleszar, V., Tejera, G., & Gómez-Sena, L. (2021). Cognitive abilities and computational thinking at age 5: Evidence for associations to sequencing and symbolic number comparison. Computers and Education Open, 2, 100043.
  • Grover, S., Pea, R., & Cooper, S. (2015). Designing for deeper learning in a blended computer science course for middle school students. Computer Science Education, 25(2), 199-237.
  • Gardner, H. (1995) Inteligencias múltiples. la teoría en la práctica. Barcelona: ediciones Paidós.
  • Özbey, S. & Köyceğiz, M. (2020). A study on the effect of the social skill education on the academic self respect and problem-solving skills of the pre-school children. International e-Journal of Educational Studies, 4(8), 176-189. https://doi/10.31458/iejes.727590
  • Papadakis, S. (2020). Robots and robotics kits for early childhood and first school age. International Association of Online Engineering. https://www.learntechlib.org/p/218338/ Partnership for 21st Century Skills (2009). P21's framework for 21st century learning, retrieved 16/10/2019 from https://files.eric.ed.gov/fulltext/ED519462.pdf
  • Pears, A., Barendsen, E., Dagienė, V., Dolgopolovas, V., & Jasutė, E. (2019). Holistic STEAM education through computational thinking: A perspective on training future teachers. In: Pozdniakov S., Dagienė V. (eds) Informatics in Schools. New Ideas in School Informatics. ISSEP 2019. Lecture Notes in Computer Science, vol 11913. Springer, Cham. https://doi.org/10.1007/978-3-030-33759-9_4
  • Polya G. (1945). How to solve it. Princeton: Princeton University Press.
  • Rogozhkina, I, & Kushnirenko, A. (2011). PiktoMir: teaching programming concepts to preschoolers with a new tutorial environment, WCETR 2011 in Procedia - Social and Behavioral Sciences 28 (2011), 601-605, https://doi.10.1016/j.sbspro.2011.11.114
  • Sisman, B., Kucuk, S. & Yaman, Y. (2020) The effects of robotics training on children’s spatial ability and attitude toward STEM. Int Journal of Social Robotics, 13, 379-389. https://doi.org/10.1007/s12369-020-00646-9 Wakil, K., Khdir, S., Sabir, L. & Nawzad, L. (2019). Student ability for learning computer programming languages in primary schools. International e-Journal of Educational Studies, 3 (6), 109-115. https://doi/10.31458/iejes.591938
  • Wing, J. (2017). Computational thinking’s influence on research and education for all, Italian Journal of Educational Technology, 25(2), 7-14. doi:10.17471/2499-4324/922
  • Wing, J. (2006). Computational thinking, Communications of the ACM, 49(3), 33-35.
  • Yadav, A., Mayfield, C., Zhou, N., Hambrusch, S., & Korb, J. T. (2014). Computational thinking in elementary and secondary teacher education. ACM Transactions on Computing Education (TOCE), 14(1), 1-16.

Multiple Intelligence’s and Computational Thinking

Year 2022, , 1 - 17, 23.04.2022
https://doi.org/10.18009/jcer.1027934

Abstract

Stakeholders from education are determined to introduce computational thinking (CT) and programming much earlier into the educational process. Thus, according to international trends, programming has grown progressively, reaching a significant focus within the EU and other countries. Since future research needs to be undertaken to investigate the interrelationship between CT skills and competencies, we designed a project to be carried out during one year with 9-year-old students attending a primary school of Basic Education. This article presents the results achieved until we had the chance since the COVID pandemic disturbed the investigation's final part.

Project Number

CI&DEI - Project Refª UIDB/05507/2020

References

  • Angeli, C. & Giannakos, M. (2020). Computational thinking education: Issues and challenges, Computers in Human Behavior, 105, 106185, pp3, doi.org/10.1016/j.chb.2019.106185
  • Bakala, E., Gerosa, A., Hourcade, J., & Tejera, G. (2021). Preschool children, robots, and computational thinking: A systematic review. International Journal of Child-Computer Interaction, 29, 100337, https://doi.org/10.1016/j.ijcci.2021.100337.
  • Bers, M. U. (2018). Coding and computational thinking in early childhood: The Impact of scratchJr in Europe. European Journal of STEM Education, 3(3), 08.
  • Fajrina, S., Lufri, L. & Ahda, Y. (2020). Science, technology, engineering, and mathematics (stem) as a learning approach to improve 21st century skills: A review. International Journal of Online & Biomedical Engineering, 16(7), 95-104.
  • Furber, S. (2012). Shut down or restart? The way forward for computing in UK schools. Technical report, London: The Royal Society.
  • Gerosa, A., Koleszar, V., Tejera, G., & Gómez-Sena, L. (2021). Cognitive abilities and computational thinking at age 5: Evidence for associations to sequencing and symbolic number comparison. Computers and Education Open, 2, 100043.
  • Grover, S., Pea, R., & Cooper, S. (2015). Designing for deeper learning in a blended computer science course for middle school students. Computer Science Education, 25(2), 199-237.
  • Gardner, H. (1995) Inteligencias múltiples. la teoría en la práctica. Barcelona: ediciones Paidós.
  • Özbey, S. & Köyceğiz, M. (2020). A study on the effect of the social skill education on the academic self respect and problem-solving skills of the pre-school children. International e-Journal of Educational Studies, 4(8), 176-189. https://doi/10.31458/iejes.727590
  • Papadakis, S. (2020). Robots and robotics kits for early childhood and first school age. International Association of Online Engineering. https://www.learntechlib.org/p/218338/ Partnership for 21st Century Skills (2009). P21's framework for 21st century learning, retrieved 16/10/2019 from https://files.eric.ed.gov/fulltext/ED519462.pdf
  • Pears, A., Barendsen, E., Dagienė, V., Dolgopolovas, V., & Jasutė, E. (2019). Holistic STEAM education through computational thinking: A perspective on training future teachers. In: Pozdniakov S., Dagienė V. (eds) Informatics in Schools. New Ideas in School Informatics. ISSEP 2019. Lecture Notes in Computer Science, vol 11913. Springer, Cham. https://doi.org/10.1007/978-3-030-33759-9_4
  • Polya G. (1945). How to solve it. Princeton: Princeton University Press.
  • Rogozhkina, I, & Kushnirenko, A. (2011). PiktoMir: teaching programming concepts to preschoolers with a new tutorial environment, WCETR 2011 in Procedia - Social and Behavioral Sciences 28 (2011), 601-605, https://doi.10.1016/j.sbspro.2011.11.114
  • Sisman, B., Kucuk, S. & Yaman, Y. (2020) The effects of robotics training on children’s spatial ability and attitude toward STEM. Int Journal of Social Robotics, 13, 379-389. https://doi.org/10.1007/s12369-020-00646-9 Wakil, K., Khdir, S., Sabir, L. & Nawzad, L. (2019). Student ability for learning computer programming languages in primary schools. International e-Journal of Educational Studies, 3 (6), 109-115. https://doi/10.31458/iejes.591938
  • Wing, J. (2017). Computational thinking’s influence on research and education for all, Italian Journal of Educational Technology, 25(2), 7-14. doi:10.17471/2499-4324/922
  • Wing, J. (2006). Computational thinking, Communications of the ACM, 49(3), 33-35.
  • Yadav, A., Mayfield, C., Zhou, N., Hambrusch, S., & Korb, J. T. (2014). Computational thinking in elementary and secondary teacher education. ACM Transactions on Computing Education (TOCE), 14(1), 1-16.
There are 17 citations in total.

Details

Primary Language English
Subjects Other Fields of Education
Journal Section Case Report
Authors

Pedro Tadeu 0000-0002-0698-400X

Carlos Brigas This is me 0000-0003-2369-9427

Project Number CI&DEI - Project Refª UIDB/05507/2020
Publication Date April 23, 2022
Submission Date November 25, 2021
Acceptance Date December 21, 2021
Published in Issue Year 2022

Cite

APA Tadeu, P., & Brigas, C. (2022). Multiple Intelligence’s and Computational Thinking. Journal of Computer and Education Research, 10(19), 1-17. https://doi.org/10.18009/jcer.1027934

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