INTEGRATION OF THE SCIENTIFIC METHOD IN CHESS TEACHING

Authors

DOI:

https://doi.org/10.24234/miopap.v11i2.32

Keywords:

chess teaching, scientific method, pedagogical strategies, educational technology, cognitive skills development, problem-solving in chess, educational videos, lichens platform, analytical competencies, game-based learning

Abstract

The article evaluated the incorporation of the scientific method in educational chess videos on Lichess, identifying the application of fundamental principles such as observation, hypothesis formulation, experimentation, and analysis. The study highlighted the diversity of educational content, addressing various interests and skill levels within the chess community and balancing theory and practice to promote cognitive and strategic development. It analyzed how integrating the scientific method could revolutionize chess learning, improving specific game skills and analytical competencies transferable to other areas. The analysis of educational videos focused on active experimentation and meticulous analysis of games, especially from elite players. The software was used for transcription and data analysis tools to identify effective pedagogical patterns. Applying the scientific method in chess videos promoted significant cognitive development, emphasizing experimentation and critical analysis. The diversity of content reflected a comprehensive and effective educational ecosystem. Future research should explore the deeper integration of the scientific method in chess teaching, evaluate the effectiveness of these approaches, and adapt them to other disciplines. The importance of rigorous and accessible educational methods was emphasized to enhance techniques and strategies in chess, establishing a standard applicable to various fields.

Author Biography

LUIZ PILATTI, UNIVERSIDADE TECNOLOGICA DO PARANÁ

Luiz is a Full Professor at UTFPR, with a PhD in Physical Education, a Master's in Education, and a Bachelor's in Physical Education. He contributes to the Graduate Programs in Production Engineering and Science and Technology Education, focusing on the role of physical education in technological contexts and its societal impacts.

 

References

Botvinnik, M. (1942). Secretos de estrategia magistral en ajedrez. Buenos Aires: Grabo.

Chowdhary, S., Iacopini, I., & Battiston, F. (2023). Quantifying human performance in chess. Nature, 1–8. https://doi.org/10.1038/s41598-023-27735-9 DOI: https://doi.org/10.1038/s41598-023-27735-9

Cowley, M. B., & Byrne, R. M. (2004). Hypothesis testing in chess players' problem-solving. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.317388856

de Bruin, A. B., Kok, E. M., Leppink, J., & Camp, G. (2014). Practice, intelligence, and enjoyment in novice chess players: A prospective study at the earliest stage of a chess career. Intelligence, 10–25. DOI: https://doi.org/10.1016/j.intell.2013.07.004

Dvoretsky, M. (2003). Tactical play: School of chess excellence 2 (Vol. 8). Zurich: Edition OLMS.

Dvoretsky, M. (2013). Analytical manual (2nd ed.). Russell Enterprises.

Gelfand, B. (2015). Positional decision making in chess. Glasgow: Quality Chess.

Gelfand, B. (2016). Dynamic decision making in chess. Glasgow: Quality Chess UK Ltd.

Gigerenzer, G. (2023). Psychological AI: Designing algorithms informed by human psychology. Perspectives on Psychological Science, 18(1), 1–10. https://doi.org/10.1177/17456916231180597 DOI: https://doi.org/10.1177/17456916231180597

Gobet, F., & de Groot, A. (1996). Perception and memory in chess: Heuristics of the professional eye. Van Gorcum.

Gobet, F., & Sala, G. (2023). Cognitive training: A field in search of a phenomenon. Perspectives on Psychological Science, 18(1), 125–141. https://doi.org/10.1177/17456916221091830 DOI: https://doi.org/10.1177/17456916221091830

Gobet, F., & Simon, H. A. (1996a). Recall of rapidly presented random chess positions is a function of skill. Psychonomic Bulletin & Review, 3(2), 159–163. DOI: https://doi.org/10.3758/BF03212414

Gobet, F., & Simon, H. A. (1996b). Templates in chess memory: A mechanism for recalling several boards. Cognitive Psychology, 1–40. DOI: https://doi.org/10.1006/cogp.1996.0011

Grève, S. S. (2023). Intuitive skill. Philosophia, 51, 1677–1700. https://doi.org/10.1007/s11406-023-00627-y DOI: https://doi.org/10.1007/s11406-023-00627-y

Guest, G., Bunce, A., & Johnson, L. (2006). How many interviews are enough? An experiment with data saturation and variability. Field Methods, 18, 59–82. DOI: https://doi.org/10.1177/1525822X05279903

Hélie, S., & Pizlo, Z. (2021). When is psychology research useful in artificial intelligence? A case for reducing computational complexity in problem solving. Topics in Cognitive Science, 14(2), 687–701. https://doi.org/10.1111/tops.12572 DOI: https://doi.org/10.1111/tops.12572

Kasparov, G. (2007). Como la vida imita al ajedrez. Debolsillo.

Krakowski, S., Luger, J., & Raisch, S. (2022). Artificial intelligence and the changing sources of competitive advantage. Strategic Management Journal, 44, 1425–1452. https://doi.org/10.1002/smj.3387 DOI: https://doi.org/10.1002/smj.3387

Lakatos, E. M., & Marconi, M. A. (2003). Fundamentos de metodologia científica (5th ed.). São Paulo: Atlas.

Lichess. (2024, July 25). Chess videos. Retrieved from https://lichess.org/video

Martínez, M., Solis, D., & Valdes, G. (2021). Jogo de xadrez e tomada de decisões em professores de educação básica (Escola Juan Pablo Segundo, região dos Lagos-Chile). Revista Ibero-Americana de Estudos em Educação, 16(4), 2331–2345. DOI: https://doi.org/10.21723/riaee.v16i4.15683

Mefoh, P., & Ugwu, I. (2013). Game of chess enhances critical thinking in school children: New challenge for educators and parents.

Plaat, A., Kosters, W., & Preuss, M. (2021). High-accuracy model-based reinforcement learning: A survey, 1–32.

Postoni, D. I., & Vandenkieboom, K. K. (2019). The effect of chess on standardized test score gains. SAGE Open, 1–22. DOI: https://doi.org/10.1177/2158244019870787

Prodanov, C. C., & Freitas, E. C. (2013). Metodologia do trabalho científico: Métodos e técnicas da pesquisa e do trabalho acadêmico (2nd ed.). Novo Hamburgo: Universidade Feevale.

Sala, G., Foley, J. P., & Gobet, F. (2017). The effects of chess instruction on pupils' cognitive and academic skills: State of the art and theoretical challenges. Frontiers in Psychology, 8(238), 1–4. DOI: https://doi.org/10.3389/fpsyg.2017.00238

Szczepańska, A., & Kaźmierczak, R. (2022). Behavior geospatial analysis using data obtained from the games of chess. International Journal of Environmental Research and Public Health, 19(12353). https://doi.org/10.3390/ijerph191912353 DOI: https://doi.org/10.3390/ijerph191912353

Trinchero, R., & Sala, G. (2016). Chess training and mathematical problem-solving: The role of teaching heuristics in the transfer of learning. EURASIA Journal of Mathematics, Science and Technology Education, 12, 655–668. DOI: https://doi.org/10.12973/eurasia.2016.1255a

van Opheusden, B., Kuperwajs, I., Galbiati, G. B., Bnaya, Z., Yunqi, L., & We, J. M. (2023). Expertise increases planning depth in human gameplay. Nature, 618, 1000–1023. https://doi.org/10.1038/s41586-023-06124-2 DOI: https://doi.org/10.1038/s41586-023-06124-2

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Published

26-11-2024

How to Cite

Tirado, A., & PILATTI, L. (2024). INTEGRATION OF THE SCIENTIFIC METHOD IN CHESS TEACHING. Main Issues Of Pedagogy And Psychology, 11(2), 61–83. https://doi.org/10.24234/miopap.v11i2.32