DIGITAL FEEDBACK IN CYCLIC SPORTS AS A KEY TO QUALITY LEARNING AND TRAINING
DOI:
https://doi.org/10.31110/2616-650X-vol13i7-019Keywords:
digitalization, feedback, mobile technologies, endurance, training, learning, injuries, training load managementAbstract
The rapid development of technology is leading to improvements in the methodology of teaching and training in sports, where digital feedback is a cornerstone, providing objective information to improve the process of training athletes. Despite the widespread introduction of digital tools in the training of athletes in cyclic sports, there is a need for a holistic understanding and systematization of the optimal use of feedback, as the rapid spread of technologies outpaces their comprehension, and athletes and coaches often face data overload and difficulties in interpretation. The aim of the study was to identify key areas of application of digital feedback in the training of athletes in cycling sports. The study was conducted through a bibliometric analysis of publications from the Web of Science database for the period 2015-2025, using an advanced search query. Only peer-reviewed articles and reviews were included. Keyword mapping using VOSviewer (v.1.6.19) allowed clustering the studied field. From the 206 publications found, after screening and filtering according to inclusion/exclusion criteria, 53 relevant sources were selected for further analysis. The clustering results focused on identifying 6 interconnected clusters that reflect different areas of application of digital feedback: physiological monitoring, performance indicators and strength training, biomechanics and technique optimization, injury prevention and risk management, energy efficiency and cardiovascular activity, as well as training load management and recovery. Digital feedback has proven to be a central element in monitoring and optimizing training in endurance sports, plays an important role in the process of fatigue control and improving the effectiveness of strength training, provides objective data for correcting movement technique, helps monitor training load for injury prevention, and ensures the determination of the optimal load-recovery ratio. Overall, digital feedback in cyclic sports is a key factor for both quality learning through the ability to correct movement techniques and for quality training in the context of optimizing adaptation and recovery of athletes. Future research prospects include further integration of different types of digital data, development of intuitive interfaces and improvement of artificial intelligence algorithms for more accurate and individualized recommendations, as well as conducting long-term studies of the impact of digital feedback.
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