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DOI: https://doi.org/10.46502/issn.1856-7576/2025.19.02.18

Eduweb, 2025, abril-junio, v.19, n.2. ISSN: 1856-7576

Cómo citar:

Lutsenko, I., Leshchenko, H., Prots, T., Gvozdetska, S., & Omok, H. (2025). Classification of innovations and challenges in teaching physical education in the digital age. Revista Eduweb, 19(2), 266-279. https://doi.org/10.46502/issn.1856-7576/2025.19.02.18

 

Classification of innovations and challenges in teaching physical education in the digital age

 

Clasificación de innovaciones y desafíos en la enseñanza de la educación física en la era digital

 

Iryna Lutsenko

PhD in Physical Education and Sports, Associate Professor, Head of the Department of Physical Training and Special Training, Faculty of Finance, University of Customs and Finance, Dnipro, Ukraine.

https://orcid.org/0000-0001-9259-8203

irinaucf@gmail.com

Hennadii Leshchenko

Doctor of Pedagogical Sciences, Professor, Associate Professor of the Department of Special Physical and Pre-Medical Training, Faculty of Specialist Training for Criminal Police Units, Donetsk State University of Internal Affairs, Kropyvnytskyi, Ukraine.

https://orcid.org/0000-0001-9780-060X

galelza7@gmail.com

Tetiana Prots

PhD, Teacher, Department of Mental and Physical Health, Faculty 2, Andrei Krupynskyi Lviv Medical Academy, Lviv, Ukraine.

https://orcid.org/0000-0002-0251-5206

t.prots@lma.edu.ua

Svitlana Gvozdetska

Candidate of Sciences in Physical Education and Sports, Associate Professor of the Department of Theory and Methods of Physical Culture, Sumy State Pedagogical University named after A.S. Makarenko, Educational and Scientific Institute of Physical Culture, Department of Theory and Methods of Physical Culture, Sumy, Ukraine.

https://orcid.org/0000-0002-7744-7471

sveta-gvozdecka@ukr.net

Hanna Omok

PhD in Pedagogy, Associate Professor, Department of Physical Culture and Sports Management, National University «Zaporizhzhia Polytechnic», Zaporizhzhia, Ukraine.

https://orcid.org/0009-0001-2428-6002

annaomok1@gmail.com

Recibido: 21/04/25

Aceptado: 27/06/25

 

Abstract

 

Introduction: Digitalization in the field of physical education requires additional assessment. The purpose of the article is to conduct a systematic analysis of new innovative solutions and key problems of their implementation in the process of teaching physical education in the era of digital technologies. Methods: The PRISMA scientific approach was used, which made it possible to identify the most relevant scientific sources (n=40). Time range: 2017-2025. The content analysis method was used to process the materials. Results: The following types of digital innovations were identified: mobile applications and platforms, gamification, artificial intelligence, intelligent educational ecosystems, wearable technologies, inclusive digital tools, flipped learning, and virtual and augmented reality technologies. There are serious challenges to their application: insufficiently developed digital infrastructure in educational institutions, low level of digital literacy of physical education teachers, pedagogical inconsistency, technological challenges, and psychophysiological limitations. For the further use of digital technologies, a classification of innovative solutions is proposed. It is proposed to distinguish such solutions by functional direction, degree of interactivity, format of use, and general purpose. Conclusions: The conclusions emphasize the importance of continuing research, since digitalization in the educational dimension is constantly developing.

 

Keywords: innovative technologies, physical education, digitalization, classification.

 

Resumen

 

Introducción: La digitalización en el campo de la educación física requiere una evaluación adicional. El propósito del artículo es realizar un análisis sistemático de nuevas soluciones innovadoras y problemas clave de su implementación en el proceso de enseñanza de la educación física en la era de las tecnologías digitales. Métodos: se utilizó el enfoque científico PRISMA, que permitió identificar las fuentes científicas más relevantes (n=40). Rango temporal: 2017–2025. Para el procesamiento de los materiales se utilizó el método de análisis de contenido. Resultados: Se identificaron los siguientes tipos de innovaciones digitales: aplicaciones y plataformas móviles, gamificación, inteligencia artificial, ecosistemas educativos inteligentes, tecnologías wearables, herramientas digitales inclusivas, aprendizaje inverso, tecnologías de realidad virtual y aumentada. Existen serios desafíos para su aplicación: infraestructura digital insuficientemente desarrollada en las instituciones educativas, bajo nivel de alfabetización digital de los profesores de educación física, inconsistencia pedagógica, desafíos tecnológicos y limitaciones psicofisiológicas. Para un mayor uso de las tecnologías digitales, se propone una clasificación de soluciones innovadoras. Se propone distinguir dichas soluciones por dirección funcional, grado de interactividad, formato de uso y objetivo general. Conclusiones: Las conclusiones enfatizan la importancia de continuar la investigación, ya que la digitalización en la dimensión educativa está en constante evolución.

 

Palabras clave: tecnologías innovadoras, educación física, digitalización, clasificación.

 

Introduction

 

The active application of digital technologies and new innovative solutions is changing the modern educational environment. However, unlike many other fields of education, physical education has its own unique needs, limitations, and potential in the digital environment, which requires a separate analysis. The current scientific literature indicates that modern physical education plays an important role in the formation of a healthy lifestyle, development of motor skills, physical endurance, and psychosocial well-being of students (Martínez-Rico et al., 2021; van Hilvoorde & Koekoek, 2018). However, its specificity, namely the focus on physical activity, interaction in the real environment, and bodily presence, creates special challenges for the implementation of digital innovations (Goodyear & Armour, 2022). At the same time, modern technologies, such as wearable devices, mobile applications for activity monitoring, and gaming platforms with exercise elements, allow us to unlock the potential for motivation in students and apply a personalized approach to teaching (Otravenko, 2020; Almusawi et al., 2021). In particular, the research by Almusawi et al. (2021) indicated that the use of digital technologies had a positive effect on increasing the level of motivation. Authors pointed out that analytics can improve the personalization of learning. It has been proven that the use of innovative technologies also increases the level of student interest (O’Brien et al., 2020; Ferriz-Valero et al., 2020). However, the scientific literature also emphasizes that the introduction of digital technologies has its limitations (high cost, problems with technical equipment) and specifics in use (the need for digital competencies) (Chiu et al., 2024; Lee & Lee, 2021; Deng et al., 2023). Despite the active implementation of digital solutions and, in some situations, their adaptation process in physical education, the scientific literature still lacks a systematic approach to their classification. There are no generalized typologies of innovations, and the specific difficulties faced by teachers in implementing these technologies have not been sufficiently studied. Accordingly, such nuances make it difficult to formulate effective strategies for integrating digital tools into physical education teaching practice. In addition, the relevance of this study is due to the need for a meaningful and structured approach to the digital transformation of physical education, which is currently lacking in the scientific space. Accordingly, the scientific novelty of the work is an attempt to systematize the existing innovations and challenges based on the analysis of modern scientific literature (from 2017 to 2025). This will help to form an important scientific basis for more effective implementation of technologies in this area.

 

Thus, the purpose of the study is to conduct a detailed systematic analysis of new innovative solutions and key problems of their implementation in the process of teaching physical education in the digital age.

 

Accordingly, the research questions are as follows: 

 

  1. What are the types of digital innovations that are actively used in the physical education system?
  2. What are the main difficulties faced by teachers in implementing these innovations?
  3. What classification can be proposed for innovative solutions to support the systemic integration of digital technologies in physical education practice?

 

Methodology

 

Research design

 

The study was created as a result of a systematic review of the scientific literature. The purpose of using this approach was to analyze and interpret the results in relation to predefined research topics and criteria that demonstrated the existence of potential areas for future research. A systematic review of the scientific literature is a type of research that is important because it systematizes the existing knowledge on the use of AI, which is currently lacking in the scientific literature.

 

Materials

 

The selection of sources was based on a purposive sampling carried out according to established criteria. The research involved the use of various types of sources: scientific articles, chapters of monographs, individual monographs, materials of scientific conferences, etc. An important aspect was the use of materials that were indexed in the scientific and metric databases Scopus, Web of Science, etc. The selection was made taking into account the chronological range from 2017 to 2025. This approach made it possible to use only the most relevant scientific literature and the latest sources in the study. In addition, we emphasized the reliability of scientific literature and certain methodological aspects. Relevant content is another additional criterion. The main language of scientific publications is English. Table 1 summarizes the main criteria used to include and exclude sources.

 

Table 1.

Inclusion and exclusion criteria of publications

 

Image

 

Instruments and Procedure

 

The PRISMA scientific approach was used to search, classify and review the scientific literature. This allowed us to effectively collect new scientific and relevant information. The keywords for the search were the search queries included the following keywords: “physical education”, “digital innovations”, “challenges”, “ICT in PE”, “technology in education”. In total, the search yielded 2292 results. After eliminating all duplicates and materials that lacked scientific novelty, the list was updated (-1103). Those materials that were not relevant to the subject matter of the proposed article were rejected. Such actions were the result of an analysis of keywords and titles (-814). Similarly, other publications that, although relevant to the topic, were published in journals that did not meet the search criteria were eliminated (-231). After that, the remaining 4 exclusion criteria were used. Figure 1 shows all the stages of inclusion of scientific sources.

 

Data analysis

 

Further processing of scientific sources took place in accordance with the use of the method of content analysis. The content analysis process in this study was carried out in stages using a combined approach, which included both manual thematic coding and preliminary organization of sources in the Zotero software environment. Zotero was used to collect, categorize and systematize sources according to basic parameters: year, country, educational context, type of innovation, availability of empirical data, etc. This made it possible to simplify the application of inclusion/exclusion filters and structure the data for further interpretation.

 

The content analysis involved thematic coding with elements of open coding. The first stage involved open coding, during which the researchers manually identified key ideas, terms, types of innovations and challenges mentioned in the texts. These codes were grouped into generalized themes: for example, “automated assessment”, “VR/AR”, “gamification”, “lack of teacher training”, “low physical activity”, etc.

 

The second stage involved coding, which identified logical connections between themes and performed higher-level grouping. This allowed the codes to be summarized into four functional categories, which later formed the basis of the proposed classification of educational innovations:

 

Hence, as a result of content analysis, recurring phenomena, individual themes and innovative approaches were identified, which demonstrate modern practices and individual main challenges:

 

Image

 

Figure 1. The process of searching and identifying scientific materials

 

The information obtained was structured accordingly using induction and deduction methods. Individual innovations were highlighted taking into account their functional purpose (motivational, pedagogical, structural and organizational, etc.), and challenges - according to the source of origin (scientific and pedagogical, technological, social, etc.). The use of this method made it possible to carry out a general understanding of the information and form a systemic idea of the state of physical education in times of total digitalization.

 

Results and Discussion

 

The selected scientific materials (40 references) discuss several types of digital innovations that are actively used in physical education. First, there are the so-called wearable technologies: various smartwatches, fitness trackers, and other sensors that allow students and teachers to track their heart rate, number of steps, calorie consumption, and the duration and intensity of classes. Mobile workout apps, instructional videos, and fitness programs also play an important role in today's digital learning space. Educational platforms and networks are used to provide a variety of assignments and feedback. An important trend that has recently become popular in the academic space is the use of virtual and augmented reality. Such technologies have made it possible to create interactive spaces for classes, while AR technologies can visualize the correct technique for performing exercises in real time. A noticeable trend that has been actively implemented in physical education in recent years is gamification, which increases the level of students' motivation to play sports. Analytical systems and AI technologies represent a separate area in the modern scientific space, as they automate assessment and provide personalized recommendations. Table 2 shows the main innovative technologies, their descriptions, and references to relevant authors.

 

Table 2.

The main innovative technologies

 

Image

 

Overall, content analysis was conducted using a thematic coding approach that combined elements of open and axial coding. The next step in open coding was to identify recurring patterns and key concepts across the 40 selected documents. Each document was read line by line, and initial codes were generated inductively based on the terminology, pedagogical frameworks, and technological elements present in the texts.

 

Axial coding was then used to establish connections between the initial codes and group them into broader categories, such as “Mobile and Online Technologies,” “Gamification,” “Artificial Intelligence,” “Wearable Technologies,” “Inclusive Tools,” “Digital Assessment,” and “VR/AR.” These categories emerged organically during the iterative coding process and were refined based on the frequency of occurrence, conceptual similarity, and educational applicability of each innovation.

 

All analysis was conducted manually, without the use of specialized software. However, to ensure methodological rigor, the process was guided by a pre-defined coding protocol developed during the pilot phase of the study. Coding sheets were used to track and synthesize data across documents.

 

The analysis was conducted by a team of three researchers with expertise in educational technology and qualitative methods. Each researcher independently coded a subset of the documents. To ensure inter-coder reliability, a sample of 20% of the documents (n = 8) was double-coded by all three researchers. Cohen’s Kappa coefficient was calculated for key categories, yielding κ = 0.82, indicating strong agreement.

 

Disagreements in coding were discussed in consensus meetings, and final coding decisions were made collaboratively to enhance internal validity. Iterative refinement of categories and codes allowed the team to reduce subjectivity and increase the reliability of the results. Zotero was used to organize the bibliography and apply criteria for inclusion and exclusion of sources. It allowed to standardize the metadata of publications and avoid duplication. Table 3 shows a summary table with the analysis of research, types of innovations, educational context and countries.

 

Table 3.

Summary table of innovation analysis content

 

Author(s)

Year

Type of Innovation

Educational Context

Country/

Region

Main Findings

Almusawi

et al.

2021

Mobile Apps, Wearable Tech

Higher Education, PE

Oman

Mobile and wearable tools increase engagement and track fitness metrics.

O’Brien et al.

2020

Mobile Apps

Online Learning

USA

Interactive apps improve student motivation and participation.

Ferriz-Valero et al.

2020

Gamification

PE, Blended Learning

Spain

Game mechanics enhance enjoyment and physical activity.

Zhouxiang

2024

Gamification

Digital PE

China

Promotes competition and collaborative learning.

Dzhym et al.

2023

Gamification, AI, Inclusive Tools

Physical Education (PE)

Ukraine

Multifaceted innovations improve accessibility and personalization.

Chiu et al.

2024

AI, VR/AR, Inclusive Tools

Smart Classrooms

Taiwan

AI and VR personalize and visualize learning effectively.

Lee & Lee

2021

AI

Remote Education

South Korea

Movement recognition algorithms improve motor skill learning.

Deng et al.

2023

AI, Ecosystems

Digital PE

China

AI platforms automate assessment and personalize PE instruction.

Zhang

2021

AI, Assessment

Online Platforms

China

Adaptive assessment enables differentiated learning.

Brem et al.

2023

AI, Assessment

Online Higher Ed

Switzerland

Predictive analytics enhance student outcomes.

YanRu

2021

AI

Smart PE

China

Personalization via machine learning increases engagement.

Rudd et al.

2020

Ecosystems

Digital Health Education

UK

Platforms support interdisciplinary health and PE delivery.

Freitas et al.

2024

Ecosystems, Assessment

Online and Hybrid Learning

Brazil

LMS and adaptive systems improve inclusivity and feedback loops.

Oke & Fernandes

2020

Wearable Tech

School-based PE

Nigeria

Wearables foster student autonomy and health awareness.

Shepelenko et al.

2023

Wearables, Inclusive, Assessment, VR

Blended PE, Inclusion

Ukraine

Multimodal innovations ensure accessibility and individual tracking.

Kang

2024

Wearable Tech, VR

Smart PE

South Korea

Sensors and VR enhance physical technique visualization.

Hinojo Lucena et al.

2019

Flipped Learning

Pre-service Teacher Training

Spain

Blended formats improve practical application of theoretical content.

Craig et al.

2024

VR/AR

K-12 PE

Canada

VR boosts student engagement and realism of physical instruction.

Röglin et al.

2023

VR/AR

Higher Education

Germany

Immersive learning improves motor skill retention.

Lin et al.

2024

VR/AR

PE and Health Education

Taiwan

Enhances visualization and safety in movement instruction.

Chiu et al.

2024

Inclusive Tools

Smart Inclusive PE

USA/Ukraine

Tech integration improves support for students with disabilities.

Shyshkina et al.

2023

Individualized fitness training programs

Fitness and Wellness

Ukraine

Individualized fitness training improves psychophysiological satisfaction

Tjønndal

2017

Typology development of sport innovation

Sport and Physical Education

Norway

Proposed a comprehensive typology of sport innovations

van Hilvoorde & Koekoek

2018

Digital technologies in PE

Physical Education

Netherlands

Discussed integration of digital tech to modernize PE

Bogetz et al.

2015

Professional training innovations

Healthcare Education

USA

Highlighted new training models preparing healthcare professionals for 21st-century practice demands.

Davison & Joia

2022

Digital transformation challenges

Higher Education, Digital

Latin America

Analyzed opportunities and barriers for digital transformation in Latin American educational institutions.

Deroncele-Acosta et al.

2023

Digital transformation post-COVID-19

Higher Education

Latin America

Explored impacts of digital innovation in higher education

Patiño et al.

2023

Active learning & Education 4.0

Open Education

Latin America

Demonstrated effectiveness of active learning approaches for complex thinking

Popovsky

2020

Online education innovation

Higher Education

Latin America (Argentina)

Presented Universidad de Palermo as a model for innovative online education

Rodríguez-Abitia et al.

2020

Addressing digital gap in universities

Higher Education

Mexico, Spain

Identified challenges in bridging digital divide to improve quality education in universities.

Li & Wang

2021

AI-based PE teaching methods

Higher Education

China

Demonstrated effectiveness of AI methods to enhance PE teaching outcomes in college students.

Martínez-Rico et al.

2021

Digital competence of PE teachers

Physical Education

Spain

Assessed PE teachers' readiness for digital challenges, identifying competence gaps.

Mishra et al.

2024

AI-driven analytics for training

Sports Education

Global

Proposed AI analytics model to optimize training and injury prevention in sports PE.

Myronenko

et al

2022

Healthy lifestyle promotion via sports

Sports Education

Ukraine

Studied formation of healthy lifestyles through sports activities and education.

Nikolaienko

et al.

2022

Long-term training systems for footballers

Sports Training

Various (International comparison)

Analyzed features of long-term football training systems in different countries.

Cui et al.

2024

Multilevel modeling of tech use

Physical Education

China

Found positive correlations between tech use, student engagement, and improved fitness outcomes in PE classes.

Barrantes Cáceres, & Cozzubo Chaparro

2017

Intergenerational internet learning

Lifelong/Informal Education

Latin America

Showed the role of intra-household learning in increasing internet use by older adults.

Trabelsi et al.

2021

Tech-mediated teaching practices

Physical Education

Tunisia

National survey shows uneven access to and use of digital tools by PE teachers in public schools.

 

While digital technologies are actively used and their potential for modernizing the physical education system is recognized in science, the scientific literature indicates that the process of their introduction and use contains serious challenges. The latter differ from the local character and have technological, social, pedagogical and ethical aspects. In particularly, an important challenge is the insufficiently developed digital infrastructure in educational institutions. In particular, some institutions do not have the necessary devices, such as fitness trackers, VR headsets, multimedia equipment, or the technical capabilities to use them fully (Internet, professional technical support) (Davison & Joia, 2022). Another problem is the low level of digital literacy of physical education teachers. According to current research, a significant number of teachers have a limited understanding of modern EdTech solutions or lack the skills to use them. This situation generally causes resistance to innovation, which is aggravated by the lack of proper training. On the other hand, there is a pedagogical inconsistency (Deng et al., 2023; Patiño et al., 2023). The point is that innovations are often implemented in fragments, without appropriate methodological justification or adaptation to the specifics of physical activity. Technological challenges are highlighted, including problems with personal data protection and inequality of access to digital technologies among applicants (Cui et al., 2024). Separately, the scientific literature highlights psychophysiological limitations associated with long-term use of technology. It has been proven that they can lead to fatigue, disorientation, and coordination disorders. Besides, further implementation of these technologies should take these challenges into account and create an effective digital learning environment.

 

Moreover, the results of the content analysis directly became the basis for constructing the proposed functional classification of educational innovations in the field of physical education and higher education. During the analysis, thematic coding and grouping of materials from selected publications was carried out, focusing on the nature of the use of technologies, pedagogical goals, and educational context (See Figure 2).

 

Image

Figure 2. Classification of identified innovations

 

The classification created by the authors will allow teachers to comprehensively assess existing digital solutions and select appropriate technologies according to educational goals and student characteristics. This classification is also aimed at developing strategies for the gradual introduction of innovations into the educational process. Considering the main goal of the study, namely, conducting a systematic analysis of selected scientific literature and forming a classification of the main identified innovations based on this, it is proven that various digital technologies for the development of physical culture are identified in the modern scientific space.

 

The study proves that adaptive learning platforms, artificial intelligence technologies, fitness devices, mobile applications for tracking activity and sports activities, virtual reality using EdTech capabilities are integral components of the current educational process. Thus, the results obtained determined the presence of a wide range of digital innovations that are actively used in physical education. These data are partially consistent with the results of other scientists, who determined the impact of digitalization on improving the motivational level of students (Li & Wang, 2021). In addition, these data are compared with the study by Lee & Lee (2021) which emphasized the potential of AI in the system of adapting training programs to the individual needs of students. Other studies have proven the importance of AI for conducting physical condition analytics (Shyshkina et al., 2023; Nikolaienko et al., 2022). The results of the study identified several main problems: technical (lack of equipment), pedagogical (lack of proper training of teachers) and ethical problems (data confidentiality). In general, the proposed difficulties are fully consistent with the conclusions of previous scientists. However, the work of O’Brien et al. highlighted other important difficulties. These authors emphasized such a phenomenon as the inequality of digital infrastructure between educational institutions (O’Brien et al., 2020; Bogetz et al., 2015). At the same time, other works recorded the low readiness of teachers to integrate wearable technologies. At the same time, other scientists recorded the current problem of legal regulation of biometric data collection (Popel et al., 2023; Omelchuk et al., 2022). The difficulties identified in the discussion contribute to the improvement of existing digital technologies used in modern physical culture (Devadze & Gechbaia, 2024; Pathak, 2023). The last research question concerned the formation of a classification of the main modern digital innovations in physical education. Accordingly, as a result of the analysis, a functional-typological classification of digital innovations in physical education was proposed. It involves a division by functional purpose: 1) control and monitoring (wearables, artificial intelligence); 2) motivational support (gamification, digital ratings); 3) educational interaction (VR/AR, distance learning); 4) adaptability and inclusion (AI analytics, platforms for inclusive learning). In addition, the developed classification involved paying attention to such components as the purpose of involving technologies (goal) and the format of use (group, individual, institutional use). At the same time, similar approaches can be traced in the works of other scientists (Myronenko et al., 2022). In particular, the study by C. Deng et al proposed the concept of “Smart PE” (Deng et al., 2023). This concept involves structuring innovations by educational functions. At the same time, in the study of Zhang (2021), the formed classification is based on the degree of automation of the educational process. Therefore, modern scholars fully agree that the use of digital technologies in teaching physical education requires a systemic approach, and such classifications are useful for teachers who can choose certain technologies according to their functions, purpose or format (Yang, 2024; Tjønndal, 2017). Therefore, the proposed classification makes it possible to expand existing approaches, since it takes into account not only the technological nature of innovations, but also their pedagogical significance. This generally contributes to the systemic integration of digital solutions into the practice of physical education and sports. The study has limitations. Regarding language coverage, the review was limited to publications in English. This was due to the need to ensure comparability, academic validity, and full-text availability from international databases. At the same time, it is recognized that such a limitation could have led to the omission of relevant sources, in particular from regions where the Spanish language predominates - for example, from Latin American countries or Spain. This potentially affected the representation of local innovative practices. This affects the omission of the latest or highly specialized innovations that are in the non-English-speaking academic space. However, studies by authors from Latin America, the USA, and China, written in English, were used.

 

Conclusions

 

Therefore, a systematic analysis of new innovative solutions and key problems of their implementation in the process of teaching physical education in the age of digital technologies demonstrated that this problem is extremely relevant. In particular, the types of digital innovations that were quite actively used in the system of physical education were determined. Among such innovations are characterized mobile applications and platforms, gamification, artificial intelligence, intelligent educational ecosystems, wearable technologies, inclusive digital tools, flipped learning, and virtual and augmented reality technologies.

 

However, even considering all the advantages of using digital technologies, there are serious challenges to their application. First, among the challenges identified is the insufficiently developed digital infrastructure in educational institutions. Another relevant problem is the low level of digital literacy of physical education teachers, which contributes to the formation of pedagogical inconsistency. On the other hand, it is also worth highlighting technological challenges and psychophysiological limitations associated with long-term use of technology.

 

The presence of so many barriers indicates a deep structural inequality in access to digital innovations, which complicates their mass and uniform implementation. Therefore, the priority areas of action should be investments in the digital infrastructure of educational institutions, the development of national programs to improve the digital competence of teachers, as well as the adaptation of digital solutions to vulnerable conditions. The functional classification of digital innovations proposed in the study has practical value. It can be useful for teachers (for selecting appropriate digital tools according to pedagogical goals), curriculum authors (a guide for incorporating innovations into the structure of a lesson or module) and managers and educational policymakers (for strategic planning of the integration of EdTech into physical culture) The limitations of the study lie in the language sample, since only English-language sources were included in the analysis, which probably led to an underrepresentation of innovations from Latin American, Spanish or Francophone African countries. There is also no clear segmentation of results by education level.

 

Therefore, in further research, it is advisable to focus on empirically assessing the effectiveness of each type of innovation in the context of physical education and developing teacher training models that take into account both technical and psychological and pedagogical aspects of digitalization

 

Bibliographic references

 

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