Trends in Interdisciplinary Development of Sports Training Theory

In the lecture, doctoral students will gain an in-depth understanding of the historical development of sports training theory and the factors affecting it, the future development trends of sports theory and their impact on the sports industry and society.

Questions will be looked at:

1. what key factors influence the evolution of sports coaching theory?
2. How will the evolution of sports coaching theory affect the sports industry and society in the future?

Literature:

1. Bompa, T.O., Buzzichelli C., (2019). Periodization : theory and methodology of training (Sixth edition). Human Kinetics
2. Martín-Rodríguez, A., Gostian-Ropotin, L. A., Beltrán-Velasco, A. I., Belando-Pedreño, N., Simón, J. A., López-Mora, C., Navarro-Jiménez, E., Tornero-Aguilera, J. F., & Clemente-Suárez, V. J. (2024). Sporting Mind: The Interplay of Physical Activity and Psychological Health. Sports (Basel, Switzerland), 12(1), 37. https://doi.org/10.3390/sports12010037
3. Sinicki, A., (2021). Functional Training and Beyond: Building the Ultimate Superfunctional Body and Mind. Mango
4. Woods, C.T., McKeown, I., O’Sullivan, M. et al. (2020). Theory to Practice: Performance Preparation Models in Contemporary High-Level Sport Guided by an Ecological Dynamics Framework. Sports Med - Open 6, 36 https://doi.org/10.1186/s40798-020-00268-5

In the lecture, doctoral students will gain an understanding of the theoretical models used in achievement and performance sports, the analysis of training methodology and physical, psychological, technical and tactical fitness of athletes and their development trends.

Questions will be looked at:

1. why is the analysis of achievement and performance in sport dominated by multidimensional models?
2. What factors contribute to and what factors hinder innovation in theoretical models in the analysis of training methodology and physical, psychological, technical and tactical fitness of athletes?

Literature:

1. Dukes, L., (Edit.) (2015).  Exercise Training: Types and Methods, Role in Disease Prevention and Health Benefits (Sports and Athletics Preparation, Performance, and Psychology). Nova Science Pub 
2. Gonçalves, B., Bravo, J., & Folgado, H. (Eds.). (2022). Training Methods to Improve Sports Performance and Health. Basel, Switzerland: MDPI.
3. Joyce D., Lewindon D. (Eds.) (2022). High-Performance Training for Sports, 2nd Edition. Human Kinetics
4. Stone, M. H., Hornsby, W. G., Haff, G. G., Fry, A. C., Suarez, D. G., Liu, J., Gonzalez-Rave, J. M., & Pierce, K. C. (2021). Periodization and Block Periodization in Sports: Emphasis on Strength-Power Training-A Provocative and Challenging Narrative. Journal of strength and conditioning research, 35(8), 2351–2371. https://doi.org/10.1519/JSC.0000000000004050

The lecture will analyse innovations in neuroscience in the sports training process on the development of cognitive functions and mobility skills, innovations in biomechanics and physiology on the latest approaches to analysing the preparation of athletes as a prerequisite for improving the quality of sports practice, as well as developing and implementing innovative training strategies ensuring sustainable development in today’s sports system.

Questions will be looked at:

1. what cognitive functions are most relevant to the successful development of an athlete’s performance across different sports?
2. How can the latest technologies in physiology and biomechanics be integrated into the training process to accommodate individual loads for athletes?
3. How can innovation in sports training methodology contribute to sustainable sports development at both individual and systemic levels?
4. What innovative approaches to the coaching process will become standard in the preparation of high-level athletes in the near future?

Literature:

1. Carlstedt, R., (Edit.) (2019). Handbook of Sport Neuroscience and Psychophysiology. 1st Edition. Routledge
2. Rydzik, Ł., Wąsacz, W., Ambroży, T., Javdaneh, N., Brydak, K., & Kopańska, M. (2023). The Use of Neurofeedback in Sports Training: Systematic Review. Brain sciences, 13(4), 660. https://doi.org/10.3390/brainsci13040660
3. Piggott, B., Müller, S., Chivers, P., Cripps, A., & Hoyne, G. (2020). Interdisciplinary Sport Research Can Better Predict Competition Performance, Identify Individual Differences, and Quantify Task Representation. Frontiers in sports and active living, 2, 14. https://doi.org/10.3389/fspor.2020.00014
4. Veliks, V., Talents, D., Fernate, A., Evelis, K., & Kolesovs, A. (2024). Neural activation patterns in open-skilled and closed-skilled athletes during motor response tasks: insights from ERP analysis. Frontiers in sports and active living, 6, 1476210. https://doi.org/10.3389/fspor.2024.1476210

The lecture will describe the use of artificial intelligence and data analysis in modelling and performance prediction of the sports training process, the integration of simulations and interactive training practices into the sports environment, and the inclusion of sensors and smart devices in athlete performance analysis. The competence of technology and automated data processing and sports coaches to apply them in the optimisation of the training process will be assessed as a challenge in the future development of sports training theory.

Questions will be looked at:

1. What are the main benefits of digital technology and artificial intelligence in planning, monitoring and research the sports training process?
2. What are the potential limitations or risks of integrating AI into the sportswear process? How could they be mitigated?
3. Can AI replace a coach in certain aspects of the sport’s coaching process? Why yes or no?

Literature:

1. Chen, J. (2024). The Application and Development of Artificial Intelligence and High Technology in Sports Event. Highlights in Business, Economics and Management, 30, 247–255. https://doi.org/10.54097/n7dhp396
2. Chmait, N., & Westerbeek, H. (2021). Artificial Intelligence and Machine Learning in Sport Research: An Introduction for Non-data Scientists. Frontiers in Sports and Active Living, 3. Scopus. https://doi.org/10.3389/fspor.2021.682287
3. Cust, E. E., Sweeting, A. J., Ball, K., & Robertson, S. (2019). Machine and deep learning for sportspecific movement recognition: A systematic review of model development and performance. Journal of Sports Sciences, 37(5), 568–600. https://doi.org/10.1080/02640414.2018.1521769
4. David, S., Bačić, B., Richter, C., Mundt M., (2023). Editorial: Artificial intelligence to enhance biomechanical modelling. Front. Sports Act. Living 5:1188035. doi: 10.3389/fspor.2023.1188035
5. International Journal of Artificial Intelligence in Education. Springer US. ISSN 15604292, 15604306

The lecture will analyze sustainability as a balance between an athlete’s physical load, health, emotional well-being and the development of a long-term athlete in a biopsychosocial view of athlete preparation in the exercise process. Integration of sustainability principles into sports training theory (adaptation, balance, long-term development), load periodisation as part of sustainable practice, data analysis and monitoring in the sustainability control of the training process.

There will be a look at the inquests:

1. which factors pose athletes the biggest challenges in securing a sustainable sporting career?
2. What training principles contribute to sustainable long-term athlete development?
3. How can data monitoring help athletes maintain a sustainable exercise process?

Literature:

1. Cerezo-Esteve, S., Inglés, E., Segui-Urbaneja, J., & Solanellas, F. (2022). The Environmental Impact of Major Sport Events (Giga, Mega and Major): A Systematic Review from 2000 to 2021. Sustainability, 14(20), 13581. https://doi.org/10.3390/su142013581
2. Dingle, G., Mallen, Ch., (2020). Sport and Environmental Sustainability Research and Strategic Management. (1st Edition). Routledge
3. McClean, Z. J., Pasanen, K., Lun, V., Charest, J., Herzog, W., Werthner, P., Black, A., Vleuten, R. V., Lacoste, E., & Jordan, M. J. (2024). A Biopsychosocial Model for Understanding Training Load, Fatigue, and Musculoskeletal Sport Injury in University Athletes: A Scoping Review. Journal of strength and conditioning research, 38(6), 1177–1188. https://doi.org/10.1519/JSC.0000000000004789
4. Schliep, E., Schafer, T. & Hawkey, M. (2021). Distributed lag models to identify the cumulative effects of training and recovery in athletes using multivariate ordinal wellness data. Journal of Quantitative Analysis in Sports, 17(3), 241-254. https://doi.org/10.1515/jqas-2020-0051
5. Schneider, S., Mücke, HG. (2024). Sport and climate change - how will climate change affect sport?. Ger J Exerc Sport Res 54, 12–20

In the lecture, doctoral students will gain an in-depth understanding of the conceptual integration of ethics and social responsibility into sports coaching theory, overcoming new challenges in professional practice related to doping problems, overload, gender equity, inclusive models in sport and the use of technology.

Questions will be covered:

1. What are the ethical and safety challenges of doping, implementing inclusive models and applying technology to sport?
2. What solutions to ethical dilemmas do sports coaching theory provide in different countries?
3. How can expressions of social responsibility in sports practice be assessed?
4. What value conflicts are most commonly seen between athletes’ interests and the pressures of achieving results?

Literature:

1. Agnew, D., Henderson, P., & Woods, C. (2017). Ethics, integrity and well-being in elite sport: A systematic review. The Sport Journal.
2. McNamee, M. (Ed.). (2018). Sport, Ethics and Philosophy (1st ed.). Routledge. https://doi.org/10.4324/9781315100289
3. Sport, Ethics and Philosophy.(Journal). https://www.tandfonline.com/journals/rsep20/about-this-journal#aims-and-scope Taylor& Francis

In the lecture, doctoral students will gain an in-depth understanding of the theoretical development of the personalised and individualised training approach and the possibilities for its application in today’s innovative sports environment, taking into account the different biological, psychological and social characteristics of athletes, it is considered how individualisation in the training process contributes to performance improvement, injury prevention and long-term development, changes in sports pedagogy caused by integration of sports technologies and the need for sustainable, athlete-specific solutions in the sports training process.

Questions will be addressed:

1. what factors should be considered when designing a personalised multi-year training plan?
2. What ethical and practical challenges can come with the practice process of applying personalized solutions to team sports?
3. How can digital technologies contribute to individualisation in the exercise process?

Literature:

1. Eichberg, H. (2016). Questioning Play: What play can tell us about social life (1st ed.). Routledge. https://doi.org/10.4324/9781315545141
2. Pickering, C., & Kiely, J. (2019). The Development of a Personalised Training Framework: Implementation of Emerging Technologies for Performance. Journal of Functional Morphology and Kinesiology, 4(2), 25. https://doi.org/10.3390/jfmk4020025
3. Yu, H., & Mi, Y. (2023). Application Model for Innovative Sports Practice Teaching in Colleges Using Internet of Things and Artificial Intelligence. Electronics, 12(4), 874. https://doi.org/10.3390/electronics12040874
4. Sullivan, M. O., Vaughan, J., Rumbold, J. L., & Davids, K. (2021). The Learning in Development Research Framework for sports organizations. Sport, Education and Society, 27(9), 1100–1114. https://doi.org/10.1080/13573322.2021.1966618
5. Ghanvatkar, S., Kankanhalli, A., & Rajan, V. (2019). User Models for Personalized Physical Activity Interventions: Scoping Review. JMIR mHealth and uHealth, 7(1), e11098.

Development of a group project in identifying and solving new research problems in sports training theory within the scope of research on the topic of the doctoral thesis.

Literature:

all the aforesaid sources of literature. Work in scientific databases based on the individually selected topic of the dissertation and the report:

Pro Quest, EBSCO host (SPORTDiscus with full text), Scopus, Web of Science, Science Direct, SAGE Journals, PubMed