Transforming Physical Education and Sport Sciences Education in the Age of Smartification: A Narrative–Analytical Review of Technologies, Applications, Opportunities, and Challenges
Sep 2026· Zenodo (CERN European Organization for Nuclear Research)
Abstract
The expansion of smart technologies has transformed teaching and learning paradigms in physical education and sport sciences, paving the way for interactive, data-driven, and personalized instruction. Objective: This study aimed to examine the role of smart technologies in transforming physical education instruction and to identify the associated opportunities and challenges. Methodology: A narrative–analytical review approach was adopted, examining studies published between 2020 and 2026 in the domains of artificial intelligence (AI), wearable technologies, the Internet of Things (IoT), virtual and augmented reality (VR/AR), gamification, and large language models (LLMs). Findings / Results: The findings revealed that smart technologies enhance learning quality, motivation, and athletic performance by enabling personalized learning, instant feedback, intelligent assessment, and performance data analytics. Nevertheless, data privacy and security, high implementation costs, the digital divide, algorithmic accuracy, and teacher readiness represent the most prominent challenges. Conclusion & Implications: Smart education achieves optimal effectiveness only when integrated with teacher competence, appropriate technological infrastructure, and ethical considerations. The purposeful implementation of these technologies can foster a dynamic, personalized, and data-driven ecosystem for physical education.
The results are packaged in the Greenfield Startup Model (GSM), which explains the priority of startups to release the product as quickly as possible, and the need to shorten time-to-market, by speeding up the development through low-precision engineering activities.
Carmine Giardino, Nicolò Paternoster, M. Unterkalmsteiner et al.· IEEE Transactions on Softwar...· 178 citations· ⚡14
Software startup companies develop innovative, software-intensive products within limited timeframes and with few resources, searching for sustainable and scalable business models.
M. Unterkalmsteiner, P. Abrahamsson, Xiaofeng Wang et al.· e-Informatica Software Engin...· 157 citations· ⚡17
This study conducts a case survey study based on the secondary data of the major pivots happened in 49 software startups, and demonstrates that customer need pivot is the most common among all pivot types.
Sohaib Shahid Bajwa, Xiaofeng Wang, Anh Nguyen-Duc et al.· Empirical Software Engineeri...· 127 citations· ⚡15
The comparison of adopter and non-adopter sample reveals three potential adoption inhibitor, security, data privacy, and portability, which underlines the importance of the technical and security perspectives for research investigating the adoption of technology.
Nattakarn Phaphoom, Xiaofeng Wang, S. Samuel et al.· Journal of Systems and Softw...· 111 citations· ⚡8
The ongoing work building a Raspberry Pi cluster consisting of 300 nodes is presented, with potential use cases being an inexpensive and green test bed for cloud computing research and a robust and mobile data center for operating in adverse environments.
P. Abrahamsson, S. Helmer, Nattakarn Phaphoom et al.· IEEE International Conferenc...· 110 citations· ⚡7
Objective There is dearth of information on the timeliness of antenatal care (ANC) uptake. This study aimed to determine the timely ANC uptake by a medically trained provider (MTP) as per the World Health Organization (WHO) recommendations and the country guideline. Methods Cross-sectional survey was done with 2,731 wo...
B. Sarker, Musfikur Rahman, T. Rahman et al.· PLoS ONE· 89 citations· ⚡7