The Impact of Knowledge Management on Cognitive Achievement in Sports Science: A Case Study in Boxing Education

Autores/as

  • Fuad Abdul Mahdi Mahmoud Al-Hamdani College of Physical Education and Sports Sciences, University of Basrah, Iraq.
  • Rawaa Abdul Ameer Abbas Department of Student Activities, University of Basrah, Iraq.
  • Saba Qays Ghadhban Department of Administrative and Financial Affairs, University of Baghdad, Iraq.

DOI:

https://doi.org/10.47197/retos.v68.116570

Palabras clave:

Knowledge Management, Cognitive Achievement, Academic Performance, Higher Education, Sports Science, Boxing Education

Resumen

Introduction: Knowledge management plays a crucial role in students’ ability to acquire, organize, retrieve, and apply information, impacting academic performance. In sports sciences, especially in combat sports like boxing, effective knowledge management supports both theoretical understanding and practical skill application. Despite exposure to boxing through training and media, students’ academic performance remains inconsistent.

Objective: This study examines the relationship between knowledge management and cognitive achievement among second-year students in the College of Physical Education and Sport Sciences at the University of Basrah. It evaluates how students manage knowledge and its impact on their retention and application of boxing-related concepts.

Methodology: The study utilized the Knowledge Management Scale (KMS) and Cognitive Achievement Scale (CAS) to assess knowledge management and academic performance. Statistical analysis, including correlation, was used to assess the relationship between these variables. A sample of 120 students participated in the study.

Results: A significant positive correlation (r = 0.564, p < 0.01) was found between knowledge management and cognitive achievement. Most students (42.1%) demonstrated average levels of both knowledge management and academic performance, indicating a need for improved knowledge management techniques.

Discussion: The study highlights the importance of integrating structured knowledge management strategies, such as mental mapping and digital tools, into sports education to enhance cognitive and practical skills.

Conclusion: Enhancing knowledge management strategies in boxing education can bridge the gap between theoretical knowledge and practical application, improving both cognitive and skill-based performance in sports sciences.

Citas

Aulia, P., Puspasari, D., Fajrika, T., & Salfina, Y. F. (2024). Effectiveness of mental training to increase self-efficacy and reduce competition anxiety in athletes. Retos, 58, 511–515. https://doi.org/10.47197/retos.v58.107680

Babbie, E. R. (2021). The practice of social research (15th ed.). Cengage Learning.

Brown, A., & Green, T. (2019). The essentials of instructional design: Connecting fundamental principles with process and practice. Routledge. https://doi.org/10.4324/9780429439698

Clemente, F. M., Moran, J., Ramirez-Campillo, R., Beato, M., & Afonso, J. (2024). Endurance performance adaptations between SSG and HIIT in soccer players: A meta-analysis. International Journal of Sports Medicine, 45(03), 183-210. https://doi.org/10.1055/a-2171-3255

Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). SAGE Publications.

Dabbagh, N., & Kitsantas, A. (2019). Personal learning environments, social media, and self-regulated learning: A natural formula for connecting formal and informal learning. Internet and Higher Education, 15(1), 3-8. https://doi.org/10.1016/j.iheduc.2011.06.002

de Quel, Ó. M., & Bennett, S. J. (2019). Perceptual-cognitive expertise in combat sports: a narrative review and a model of perception-action.[Habilidades perceptivo-cognitivas en deportes de combate: una revisión narrativa y un modelo de percepción-acción]. RICYDE. Revista Internacional de Ciencias del Deporte. https://doi.org/10.5232/ricyde2019.05802

de Winter*, J. C. F., Dodou*, D., & Wieringa, P. A. (2009). Exploratory Factor Analysis With Small Sample Sizes. Multivariate Behavioral Research, 44(2), 147–181. https://doi.org/10.1080/00273170902794206

DeVellis, R. F. (2017). Scale development: Theory and applications (4th ed.). SAGE Publications.

Field, A. (2018). Discovering statistics using IBM SPSS statistics (5th ed.). SAGE Publications.

Fiorella, L., & Mayer, R. E. (2016). Eight ways to promote generative learning. Educational Psychologist, 51(1), 1-19. https://doi.org/10.1007/s10648-015-9348-9

Freeman, S., Eddy, S. L., McDonough, M., Smith, M. K., Okoroafor, N., Jordt, H., & Wenderoth, M. P. (2019). Active learning increases student performance in science, engineering, and mathematics. Proceedings of the National Academy of Sciences, 111(23), 8410-8415. https://doi.org/10.1073/pnas.1319030111

kamil, irfandi husein, Setyawati, H., Pramono, H., & Rumini, R. (2025). Development of a web-based athletic sports learning model in sports talent schools. Retos, 65, 1018–1031. https://doi.org/10.47197/retos.v65.112871

Karpicke, J. D. (2017). Retrieval-Based Learning: A Decade of Progress. Grantee submission. http://dx.doi.org/10.1016/B978-0-12-809324-5.21055-9

Martín-Rodríguez, A., & Madrigal-Cerezo, R. (2025). Technology-Enhanced Pedagogy in Physical Education: Bridging Engagement, Learning, and Lifelong Activity. Education Sciences, 15(4), 409. https://doi.org/10.3390/educsci15040409

Neuman, W. L. (2020). Social research methods: Qualitative and quantitative approaches (8th ed.). Pearson.

Nonaka, I., & Takeuchi, H. (2019). The wise company: How companies create continuous innovation. Oxford University Press.

Novak, J. D., & Cañas, A. J. (2020). The theory underlying concept maps and how to construct them. Technical Report IHMC CmapTools.

Ogundiwin, O. A. (2013). EFFECTS OF PRE-THEORETIC INTUITION QUIZ AND PUZZLE-BASED CRITICAL THINKING MOTIVATION STRATEGIES ON STUDENTS’LEARNING OUTCOMES IN SELECTED ENVIRONMENT-RELATED CONCEPTS IN BIOLOGY (Doctoral dissertation).

Papastergiou, M. (2010). Enhancing physical education and sport science students’ self-efficacy and attitudes regarding information and communication technologies through a computer literacy course. Computers & Education, 54(1), 298-308.

Sweller, J., Van Merriënboer, J. J., & Paas, F. (2019). Cognitive architecture and instructional design: 20 years later. Educational psychology review, 31, 261-292. https://doi.org/10.1007/s10648-019-09465-5

Widyastuti, C., Hidayatullah, F. ., Purnama, S. K., Ekawati, F. F., Hidayat, M. ., Rochmani, K. W., … Yulianto, W. D. . (2024). Developing PETTLEP Imagery Model to Improve Self-Efficacy of Karate Athletes. Retos, 55, 938–945. https://doi.org/10.47197/retos.v55.106128

Xu, J., Ong, J., Tran, T., Kollar, Y., Wu, A., Vujicic, M., & Hsiao, H. (2021). The impact of study and learning strategies on post-secondary student academic achievement: A mixed-methods systematic review.

Descargas

Publicado

2025-06-22

Cómo citar

Al-Hamdani, F. A. M. M., Abbas , R. A. A., & Ghadhban, S. Q. (2025). The Impact of Knowledge Management on Cognitive Achievement in Sports Science: A Case Study in Boxing Education. Retos, 68, 1048–1062. https://doi.org/10.47197/retos.v68.116570

Número

Sección

Artículos de carácter científico: investigaciones básicas y/o aplicadas