Development Tendencies in Sports Theory

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

Questions will be looked at:

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

Literature:

1. Bompa, T.O., Buzzichelli C., (2018). Periodization : theory and methodology of training (Sixth edition). Human Kinetics
2. Sinicki, A., (2021). Functional Training and Beyond: Building the Ultimate Superfunctional Body and Mind. Mango
3. 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, analysis of training methodology and athlete preparedness, 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 academic performance and what factors hinder innovation in theoretical models in the analysis of training methodology and athlete fitness?

Lirerature:

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

The lecture will analyse innovations in neuroscience in sport on the development of cognitive functions and mobility skills, innovations in biomechanics and physiology on the latest approaches to analysing athlete fitness, as well as innovations in psychological preparation and the role of innovation in developing sports practice and new research strategies.

Questions will be looked at:

1. why do athletes often get innovative ideas during the transition period between waking and sleep?
2. How do I evaluate the effectiveness of neurofeedback training in sport and how do I evaluate the effectiveness of such training in a given sport?
3. What are the differences between biofeedback and neurofeedback, how can they be used to develop new research strategies?

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 sports training modelling and performance prediction, the integration of simulations and interactive learning training techniques into sports environments, 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 theory.

Questions will be addressed:

1. What are the basic conditions for integrating digital technologies and AI-aligned research methodology into a single sports theory?
2. How do I bridge the digital divide and encourage coaches and athletes to apply sports technology to their daily workouts?

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
6. Panch, T., Szolovits, P., & Atun, R. (2018). Artificial intelligence, machine learning, and health systems. Journal of Global Health, 8(2), 020303.

The lecture will analyse sustainability and ecological challenges in sport: the lack of sustainable development of sports equipment and infrastructure, and the organisation of environmentally friendly training and competitions. The introduction of new sports education and innovation strategies as a prerequisite for tackling sustainability challenges.

Questions will be looked at:

1. how to overcome sustainability and ecological challenges in sport?
2. What are the solutions to organising eco-friendly workouts and competitions?

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. Schneider, S., Mücke, HG. (2024). Sport and climate change—how will climate change affect sport?. Ger J Exerc Sport Res 54, 12–20 https://doi.org/10.1007/s12662-021-00786-8

In the lecture, doctoral students will gain an in-depth understanding of doping use and the problems it causes, athletes’ rights and ethics guidelines in research in sport, as well as the implementation of societal approaches to the role of sport and gender equality in sport.

Questions will be looked at:

1. What are the ethical and safety challenges of applying technology to sport?
2. What solutions do sports theory provide in the fight against doping, corruption, manipulation of match results?
3. How does the development of sports theory contribute to social responsibility in sport?

Literature:

1. Agnew, D., Henderson, P., & Woods, C. (2017). Ethics, integrity and well-being in elite sport: A systematic review. The Sport Journal.
2. 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 customization of individual workouts, personalized training planning based on the genetic markers of athletes in sports and physiological, biomechanical parameters, as well as artificial intelligence and personalized teaching in sports and physical activities, integration of sports technologies using high-precision video analysis and the latest knowledge of biomechanics in training.

Questions will be looked at:

1. how to determine an athlete’s individual needs and potential?
2. How do I apply technology and data analytics to creating personalized training programs in an innovative sports environment?

Literature:

1. 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
2. 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
3. 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
4. Ghanvatkar, S., Kankanhalli, A., & Rajan, V. (2019). User Models for Personalized Physical Activity Interventions: Scoping Review. JMIR mHealth and uHealth, 7(1), e11098. https://doi.org/10.2196/11098

Development of a group project in identifying and solving new research problems in sports theory within the framework of research on the topic of dissertation.