The Robocode game in fostering STEM career development and 21st century skills: a national case study

• Gabriel C. Natucci Universidade Estadual de Campinas https://orcid.org/0000-0003-4098-0966
• Jhasmani Tito Cruz Universidade Estadual de Campinas
• Marcos A. F. Borges Universidade Estadual de Campinas https://orcid.org/0000-0003-3580-5178
• Regina L. Moraes Universidade Estadual de Campinas https://orcid.org/0000-0003-0678-4777

DOI: https://doi.org/10.5753/cbie.sbie.2020.362

Abstract

Universities and traditional learning approaches have been challenged in educating future professionals in competencies such as computational thinking, creativity, and other 21st-century skills. This work proposes to analyze a pedagogical approach that enables the learning of these skills by studying an application of the serious game Robocode in a competitive national tournament. It was possible to conclude that this approach fosters computational thinking and other skills like creativity and team collaboration, therefore being a viable option for better preparing students for technology jobs.

Keywords: constructivism, constructionism, serious games, computational thinking, 21st century skills, problem-based learning

References

Alhaddab, T. A. and Alnatheer, S. A. (2015). Future scientists: How women’s and minorities’ math self-efficacy and science perception affect their stem major selection. In IEEE Integrated STEM Education Conference. IEEE.


Ali, M., Talib, C. A., Surif, J., Ibrahim, N. H., and Abdullah, A. H. (2018). Effect of STEM competition on stem career interest. In IEEE 10th International Conference on Engineering Education - ICEED. IEEE.


Almeida, F., Faria, D., and Queirós, A. (2017). Strengths and limitations of qualitative and quantitative research methods.European Journal of Education Studies, 3:369–387.


Amaral, L., Silva, G. B. e., and Pantaleão, E. (2015). Plataforma robocode como ferra-menta l ́udica de ensino de programação de computadores - pesquisa e extensão universitária em escolas públicas de Minas Gerais. 26(1):200.


Boyle, E. A., Hainey, T., Connolly, T. M., Gray, G., Earp, J., Ott, M., Lim, T., Ninaus, M., Ribeiro, C., and Pereira, J. (2016). An update to the systematic literature review of empirical evidence of the impacts and outcomes of computer games and serious games.Computers & Education, 94:178–192


Brennan, K. and Resnick, M. (2012). New frameworks for studying and assessing the development of computational thinking. In The American Educational Research Association - AERA, pages 1–25. AERA.


ComputerWorld (2019). Estas são as 10 linguagens de programação mais utilizadas em 2019. URL: https://computerworld.com.br/2019/11/08/estas-sao-as-10-linguagens-de-programacao-mais-utilizadas-em-2019/ [Last access on July, 2020]


J., K. and Gibson, J. (2006). Robocode problem-based learning: A non-prescriptive approach to teaching programming.ACM SIGCSE Bulletin, 38(3):217–221


Leydens, J. A., Moskal, B. M., and Pavelich, M. J. (2004). Qualitative methods used in the assessment of engineering education.Journal of Engineering Education, 93(1):65–72


LIAG - UNICAMP (2020). Torneio robocode. URL: https://liag.ft.unicamp.br/robocode/[Last access on June, 2020].


Meira, M. C. (2016).Aprendizagem de linguagem de programação com metodologia PBL em competições cientíicas com Robocode = Learning programming languagewith problem based learning methodology in scientific competitions with Robocode. Dissertação (mestrado), Universidade Estadual de Campinas, Faculdade de Tecnologia, Limeira, SP.


Moust, J., Bouhuijs, P., and Schmidt, H. (2016).Introduction to Problem-Based Learning.A guide for students. Routledge, 6th edition.


Seemiller, C. and Grace, M. (2017). Generation z: Educating and engaging the next generation of students. About Campus, 22(3):21–26.


Shatto, B. and Erwin, K. (2016). Moving on from millennials: Preparing for generation Z.The Journal of Continuing Education in Nursing, 47(6):253–254.


Shute, V. J., Sun, C., and Asbell-Clarke, J. (2017). Demystifying computational thinking. Educational Research Review, 22:142–158.


Sousa, C. and Costa, C. (2018). Videogames as a learning tool: Is game-based learning more effective?Revista Lusófona de Educação, 40:199–240.


Starman, A. B. (2013). The case study as a type of qualitative research.Journal of Contemporary Educational Studies, 64(1):28–43.


Weintrop, D. and Wilensky, U. (2012). Robobuilder: A program-to-play constructionist video game. InProceedings of the Constructionism Conference.


Wing, J. M. (2006). Computational thinking.Communications of the ACM, 49(3):33–158.


Wing, J. M. (2008). Computational thinking and thinking about computing.Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 366(1881):3717–3725.


World Economic Forum (2018). The future of jobs report - insight report.URL:https://www.voced.edu.au/content/ngv:80780 [Last access on June, 2020].


Yew, E. H. J. and Goh, K. (2016). Problem-based learning: An overview of its process and impact on learning.Health Professions Education, 2(2):75–79.