Investigating popular topics for the integration of the internet of things in physical education: A content analysis in higher education
Keywords:
Internet of things, physical education, higher education, content analysisAbstract
Background Problems: Advanced technologies, such as the Internet of Things (IoT), have played an increasingly important role in the development of physical education in higher education. Research Objectives: This study aims to conduct a content analysis of the use of IoT technology in physical education in higher education. Methods: Scopus and Web of Science databases were used to collect and analyse data for this study, with a total of 178 articles obtained, consisting of 104 articles (Scopus) and 74 articles (Web of Science). The final data used for this study consisted of 20 articles, as it only targeted the top five topics related to the internet of things (IoT) in physical education after being analysed using ScientoPy. Findings and Results: The analysis identified five main topics related to the application of the internet of things in physical education in higher education, including cloud, artificial intelligence, deep learning, big data, and virtual reality. The implications of these findings for the development of physical education in higher education are discussed in this study, emphasizing the importance of IoT technology integration in creating a more adaptive and responsive learning environment. Conclusion: The contributions of this research include providing deeper insights into how IoT technologies can be applied in physical education in higher education, as well as highlighting the potential to improve the effectiveness of learning and teaching in this area. The conclusions of this study emphasises the importance of continuing to develop innovations in the application of IoT technology in physical education in higher education in order to achieve a more efficient and competitive learning environment.
Downloads
Author Biographies
Armando Monterrosa Quintero, Department of Physical Education, Universidad Surcolombiana, Neiva, Colombia
Felipe Poblete Valderrama, Facultad de Educación, Universidad Católica de la Santísima Concepción, Concepción, Chile
Sergio Ricardo Quiroga, Instituto Cultural Argentino de Educación Superior, Villa Mercedes (San Luis), Argentina
References
Aazam, M., Zeadally, S., & Harras, K. A. (2018). Deploying Fog Computing in Industrial Internet of Things and Industry 4.0. IEEE Transactions on Industrial Informatics, 14(10), 4674–4682. https://doi.org/10.1109/TII.2018.2855198
Akhter, S., & Ahmed, A. (2021). Need and Importance of Physical Education for School Students. International Journal of Physiology, Nutrition and Physical Education, 6(1), 352–355.
Alotaibi, S. J. (2015). Attendance System Based on the Internet of Things for Supporting Blended Learning. 2015 World Congress on Internet Security, WorldCIS 2015, 78. https://doi.org/10.1109/WorldCIS.2015.7359418
Asghari, P., Rahmani, A. M., & Haj Seyyed Javadi, H. (2019). A Medical Monitoring Scheme and Health-Medical Service Composition Model in Cloud-Based IoT Platform. Transactions on Emerging Telecommunications Technologies, 30(6). https://doi.org/10.1002/ett.3637
Ayaz, M., Ammad-Uddin, M., Sharif, Z., Mansour, A., & Aggoune, E.-H. M. (2019). Internet-of-Things (IoT)-Based Smart Agriculture: Toward Making the Fields Talk. IEEE Access, 7, 129551–129583. https://doi.org/10.1109/ACCESS.2019.2932609
Bahga, A., & Madisetti, V. K. (2016). Blockchain Platform for Industrial Internet of Things. Journal of Software Engineering and Applications, 09(10), 533–546. https://doi.org/10.4236/jsea.2016.910036
Behera, T. M., Mohapatra, S. K., Samal, U. C., Khan, M. S., Daneshmand, M., & Gandomi, A. H. (2020). I-SEP: An Improved Routing Protocol for Heterogeneous WSN for IoT-Based Environmental Monitoring. IEEE Internet of Things Journal, 7(1), 710–717. https://doi.org/10.1109/JIOT.2019.2940988
Bright, D. (2021). An Integrative Review of the Potential of Wireless Assistive Technologies and Internet of Things (IoT) to Improve Accessibility to Education for Students with Disabilities. In Assistive Technology 11(3), 696-710. https://doi.org/10.1080/10400435.2021.1956639
Bucea-Manea-Țoniș, B., Vasile, L., Stănescu, R., & Moanță, A. (2022). Creating IoT-Enriched Learner-Centered Environments in Sports Science Higher Education during the Pandemic. Sustainability, 14(7), 1–25. https://doi.org/10.3390/su14074339
Buratti, C., Stajkic, A., Gardasevic, G., Milardo, S., Abrignani, M. D., Mijovic, S., Morabito, G., & Verdone, R. (2015). Testing Protocols for the Internet of Things on the EuWIn Platform. IEEE Internet of Things Journal, 3(1), 124–133. https://doi.org/10.1109/JIOT.2015.2462030
Cai, J. Y., Zhang, P. P., & Tan, X. (2019). A Novel Physical Education Environment Platform using Internet of Things and Multimedia Technology. International Journal of Electrical Engineering Education. 60(1), 1306-1319. https://doi.org/10.1177/0020720919879390
Cao, L., & Zhou, J. (2023). The dilemma and countermeasures of online sports teaching under the background of big data and Internet of Things. Journal of Computational Methods in Sciences and Engineering, 23(2), 725-735. https://doi.org/10.3233/JCM-226589
Cale, L., Casey, A., & Harris, J. (2016). An Advocacy Paper for Physical Education and School Sport. Physical Education Matters, 11(1), 18–19.
Che, Y., Sivaparthipan, C. B., & Alfred Daniel, J. (2021). Human–Computer Interaction on IoT-Based College Physical Education. Arabian Journal for Science and Engineering, 48(3), 4119. https://doi.org/10.1007/s13369-021-05895-y
Che, F., Ahmed, Q. Z., Lazaridis, P. I., Sureephong, P., & Alade, T. (2023). Indoor Positioning System (IPS) Using Ultra-Wide Bandwidth (UWB)—For Industrial Internet of Things (IIoT). Sensors, 23(12), 5710. https://doi.org/10.3390/s23125710
Chen, H., Yang, Y., & Xie, S. (2022). Topic Search Algorithm for Network Multimedia Tennis Teaching Resources Using 5G-Enabled Internet of Things Technology. Wireless Communications and Mobile Computing, 2022, 1–13. https://doi.org/10.1155/2022/1155522
Chen, S., & Liang, L. (2020). Online resource sharing of martial arts teaching based on 5G network and FPGA system. Microprocessors and Microsystems. https://doi.org/10.1016/j.micpro.2020.103447
Chen, Y., & Zhou, W. (2022). Application of Network Information Technology in Physical Education and Training System under the Background of Big Data. Computational Intelligence and Neuroscience, 2022, 1–8. https://doi.org/10.1155/2022/3081523
Cheng, J. (2021). Evaluation of Physical Education Teaching Based on Web Embedded System and Virtual Reality. Microprocessors and Microsystems, 83. https://doi.org/10.1016/j.micpro.2021.103980
Cojocaru, A. M., Bucea-Manea-Tonis, R., Jianu, A., Dumangiu, M. A., Alexandrescu, L. U., & Cojocaru, M. (2022). The Role of Physical Education and Sports in Modern Society Supported by IoT — A Student Perspective. Sustainability, 14(9), 5624. https://doi.org/10.3390/su14095624
Deng, C., Yu, Q., & Luo, G. (2022). Construction of Smart Sports in Colleges and Universities: Influencing Factors, Design Ideas, and Model Choices. Mobile Information Systems, 2022, 1–10. https://doi.org/10.1155/2022/9041042
Ding, Y., Ding, Y., Li, Y., & Cheng, L. (2020). Application of Internet of Things and Virtual Reality Technology in College Physical Education. IEEE Access, 8, 96065–96074. https://doi.org/10.1109/ACCESS.2020.2992283
Ding, Y., Zhang, N., & Li, Y. (2021). College Physical Education Course Management System Based on Internet of Things. Mobile Information Systems, 2021. https://doi.org/10.1155/2021/5874390
Dong, A. (2023). Analysis on the Steps of Physical Education Teaching Based on Deep Learning. International Journal of Distributed Systems and Technologies, 14(2), 11–15. https://doi.org/10.4018/IJDST.317937
Du, S., Han, N., & Yi, F. (2022). Study on the Reform and Development of Modern Physical Education Teaching Based on 5G Internet Communication Technology. Computational Intelligence and Neuroscience, 2022, 1–11. https://doi.org/10.1155/2022/5604141
Ðurđević, N., Labus, A., Barać, D., Radenković, M., & Despotović-Zrakić, M. (2022). An Approach to Assessing Shopper Acceptance of Beacon Triggered Promotions in Smart Retail. Sustainability (Switzerland), 14(6), 1–25. https://doi.org/10.3390/su14063256
Feng, Y., You, C., Li, Y., Zhang, Y., & Wang, Q. (2022). Integration of Computer Virtual Reality Technology to College Physical Education. Journal of Web Engineering, 21(7), 2049–2072. https://doi.org/10.13052/jwe1540-9589.2173
Fu, X. (2020). The Application of Artificial Intelligence Technology in College Physical Education. 2020 International Conference on Big Data, Artificial Intelligence and Internet of Things Engineering, ICBAIE 2020, 263–266. https://doi.org/10.1109/ICBAIE49996.2020.00062
Garcia-sanchez, F., & Garcia-haro, J. (2011). Wireless Sensor Network Deployment for Integrating Video-Surveillance and Data-Monitoring in Precision Agriculture Over Distributed Crops. Computers and Electronics in Agriculture, 75(2), 288–303. https://doi.org/10.1016/j.compag.2010.12.005
Gazali, N., Saputro, D. P., Abdullah, K. H., Setiawan, E., Sofyan, D., Ridwan, M., Hanief, Y. N., Perdima, F. E., & Satria, E. (2023). The Trends Internet of Things in Physical Education: A Scientometric Review. In H. Polat, A. A. Khan, & M. D. Kaya (Eds.), Studies on Education, Science, and Technology 2023 (Issue January, pp. 169–199). ISTES Organization.
Green, K. (2014). Mission Impossible? Reflecting Upon the Relationship between Physical Education, Youth Sport and Lifelong Participation. Sport, Education and Society, 19(4), 357–375. https://doi.org/10.1080/13573322.2012.683781
Guerrero-ibanez, J. A., Zeadally, S., & Contreras-Castillo, J. (2015). Integration Challenges of Intelligent Transportation Systems with Connected Vehicle, Cloud Computing, and Internet of Things Technologies. IEEE Wireless Communications, 22(6), 122–128. https://doi.org/10.1109/MWC.2015.7368833
Guo, J., & Sun, C. (2021). Real-Time Monitoring of Physical Education Classroom in Colleges and Universities Based on Open IoT and Cloud Computing. Journal of Intelligent and Fuzzy Systems, 40(4), 7397–7409. https://doi.org/10.3233/JIFS-189563
Han, W. (2011). Research of Intelligent Campus System Based on IOT. Advances in Intelligent and Soft Computing, 128, 165–169. https://doi.org/10.1007/978-3-642-25989-0_29
Harris, J. (2018). The Case for Physical Education Becoming a Core Subject in the National Curriculum. Loughborough University. Journal contribution. https://hdl.handle.net/2134/33950
Hu, L., Liu, C., Cengiz, K., & Nallappan, G. (2021). Application of Internet of Things Framework in Physical Education System. Journal of Internet Technology, 22(6), 1409–1418. https://doi.org/10.53106/160792642021112206017
Hu, R. (2023). IoT-Based Analysis of Tennis Player’s Serving Behavior using Image Processing. Soft Computing, 27(19), 14413–14429. https://doi.org/10.1007/s00500-023-09031-w
Huang, Q., & Wang, F. (2021). Design Method of Aerobics Teaching Assistant Platform Based on 5G Technology. In Advances in Intelligent Systems and Computing: 1234. https://doi.org/10.1007/978-3-030-51556-0_12
Jiang, Z. (2016). Analysis of Student Activities Trajectory and Design of Attendance Management Based on Internet of Things. International Journal of Advanced Computer Science and Applications, 3–6. https://doi.org/10.1109/ICALIP.2016.7846537
Jie, Y., Subramanian, N., Ning, K., & Edwards, D. (2015). Product Delivery Service Provider Selection and Customer Satisfaction in E-Commerce: a Chinese E-Retailers’ Perspective. International Journal of Production Economics, 159, 104–116. https://doi.org/10.1016/j.ijpe.2014.09.031
Kassab, M., DeFranco, J., & Laplante, P. (2020). A Systematic Literature Review on Internet of Things in Education: Benefits and Challenges. Journal of Computer Assisted Learning, 36(2), 115–127. https://doi.org/10.1111/jcal.12383
Keerthana, R., Kumar, T. A., Manjubala, P., & Pavithra, M. (2020). An Interactive Voice Assistant System for Guiding the Tourists in Historical Places. 2020 International Conference on System, Computation, Automation and Networking, ICSCAN 2020, 1–5. https://doi.org/10.1109/ICSCAN49426.2020.9262347
Lee, W., Cho, S., Chu, P., Vu, H., Helal, S., Song, W., Jeong, Y. S., & Cho, K. (2016). Automatic Agent Generation for IoT-Based Smart House Simulator. Neurocomputing, 209, 14–24. https://doi.org/10.1016/j.neucom.2015.04.130
Lei, L., Li, J., & Li, W. (2023). Assessing the Role oOf Artificial Intelligence in the Mental Healthcare of Teachers and Students. Soft Computing, 4, 1-11. https://doi.org/10.1007/s00500-023-08072-5
Lei, T., Cai, Z., & Hua, L. (2021). 5G-Oriented IoT Coverage Enhancement and Physical Education Resource Management. Microprocessors and Microsystems, 80(September), 103346. https://doi.org/10.1016/j.micpro.2020.103346
Li, H., Cui, C., & Jiang, S. (2022). Strategy for Improving the Football Teaching Quality by AI and Metaverse-Empowered in Mobile Internet Environment. Wireless Networks, 1, 1–10. https://doi.org/10.1007/s11276-022-03000-1
Lombardi, M., Pascale, F., & Santaniello, D. (2021). Internet of Things: A General Overview between Architectures, Protocols and Applications. Information, 12(12), 1–20. https://doi.org/10.3390/info12020087
Marquez, J., Villanueva, J., Solarte, Z., & Garcia, A. (2016). IoT in Education: Integration of Objects with Virtual Academic Communities. New Advances in Information Systems and Technologies, 445(March), 201–212. https://doi.org/10.1007/978-3-319-31232-3
Meng, J. (2021). College Physical Education Teaching Aided by Virtual Reality Technology. Mobile Information Systems, 2021. https://doi.org/10.1155/2021/3052895
Miorandi, D., Sicari, S., Pellegrini, F. De, & Chlamtac, I. (2012). Internet of Things: Vision, Applications and Research Challenges. Ad Hoc Networks, 10(7), 1497–1516. https://doi.org/10.1016/j.adhoc.2012.02.016
Nosova, E. V., Bartel, K., Chong, K. C., Alley, H. F., Conte, M. S., Owens, C. D., & Grenon, S. M. (2015). Analysis of Nutritional Habits and Intake of Polyunsaturated Fatty Acids in Veterans with Peripheral Arterial Disease. Vascular Medicine (United Kingdom), 20(5), 432–438. https://doi.org/10.1177/1358863X15591088
Pinggui, H., & Xiuqing, C. (2017). Design and Implementation of Campus Security System Based on Internet of Things. International Conference on Robots & Intelligent System (ICRIS), 5–8. https://doi.org/10.1109/ICRIS.2017.28
Ruiz-Rosero, J., Ramirez-Gonzalez, G., & Khanna, R. (2019). Field Programmable Gate Array Applications-a Scientometric Review. Computation, 7(4), 1–111. https://doi.org/10.3390/COMPUTATION7040063
Santamaria-Granados, L., Mendoza-Moreno, J. F., & Ramirez-Gonzalez, G. (2021). Tourist Recommender Systems Based on Emotion Recognition—A Scientometric Review. Future Internet, 13(1), 1–38. https://doi.org/10.3390/fi13010002
Shmeleva, E. A., Kislyakov, P. A., Konstantinova, N. P., & Pchelinova, V. V. (2021). Digital Technologies Driven Physical activity/ Education Service in Distance Learning Formats during Covid-19 Pandemic: Questionnaire Survey. Teoriya i Praktika Fizicheskoy Kultury, 2021(6), 58–60.
Sravani, M. N., & Ghosh, S. K. (2020). Implementation of Children Activity Tracking System Based on Internet of Things. Proceedings of the Third International Conference on Computational Intelligence and Informatics. Advances in Intelligent Systems and Computing, 1090, 713–721. https://doi.org/10.1007/978-981-15-1480-7_65
Stormoen, S., Urke, H. B., Tjomsland, H. E., Wold, B., & Diseth, Å. (2016). High School Physical Education: what Contributes to the Experience of Flow? European Physical Education Review, 22(3), 355–371. https://doi.org/10.1177/1356336X15612023
Sun, Q. (2021). Current School Sports Intelligence System Based on Artificial Intelligence and Internet of Things Technology. In A. J.H., C. K.-K.R., X. Z., & A. M. (Eds.), International Conference on Applications and Techniques in Cyber Intelligence, ATCI 2020: Vol. 1244 AISC (pp. 625–632). Springer. https://doi.org/10.1007/978-3-030-53980-1_92
Sung, W. T., & Hsiao, S. J. (2020). The Application of Thermal Comfort Control Based on Smart House System of IoT. Measurement: Journal of the International Measurement Confederation, 149, 106997. https://doi.org/10.1016/j.measurement.2019.106997
Sweileh, W. M. (2020). Bibliometric Analysis of Peer-Reviewed Literature on Food Security in the Context of Climate Change from 1980 to 2019. Agriculture and Food Security, 9(1), 1–15. https://doi.org/10.1186/s40066-020-00266-6
Szum, K. (2021). IoT-Based Smart Cities: a Bibliometric Analysis and Literature Review. Engineering Management in Production and Services, 13(2), 115–136. https://doi.org/10.2478/emj-2021-0017
Tian, C., Zhou, Q., & Yang, B. (2022). Reform and Intelligent Innovation Path of College Football Teaching and Training Based on Mixed Teaching Mode. Mobile Information Systems, 2022, 1–10. https://doi.org/10.1155/2022/8436138
Turton, R., Bruidegom, K., Cardi, V., Hirsch, C. R., & Treasure, J. (2016). Novel Methods to Help Develop Healthier Eating Habits for Eating and Weight Disorders: A Systematic Review and Meta-Analysis. Neuroscience and Biobehavioral Reviews, 61, 132–155. https://doi.org/10.1016/j.neubiorev.2015.12.008
Uzelac, A., Gligoric, N., & Krco, S. (2015). A Comprehensive Study of Parameters in Physical Environment that Impact Students’ Focus during Lecture using Internet of Things. Computers in Human Behavior, 53, 427–434. https://doi.org/10.1016/j.chb.2015.07.023
Wan, J., Tang, S., Shu, Z., Li, D., Wang, S., Imran, M., & Vasilakos, A. V. (2016). Software-Defined Industrial Internet of Things in the Context of Industry 4.0. IEEE Sensors Journal, 16(20), 7373–7380. https://doi.org/10.1109/JSEN.2016.2565621
Wang, Y., He, J., Zhao, H., Han, Y. H., & Huang, X. J. (2018). Intelligent Community Medical Service Based on Internet of Things. Journal of Interdisciplinary Mathematics, 21(5), 1121–1126. https://doi.org/10.1080/09720502.2018.1493040
Wang, Y., Muthu, B. A., & Sivaparthipan, C. B. (2021). Internet of Things Driven Physical Activity Recognition System for Physical Education. Microprocessors and Microsystems, 81(November 2020), 103723. https://doi.org/10.1016/j.micpro.2020.103723
Wang, B. (2021a). Effective Approach to Cultivating Physical Education Teaching Skills of Preschool Majors in the Context of Big Data. In M. J., Z. J., & M. X. (Eds.). International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy, SPIoT 2020 (Vol. 1283, pp. 544–550). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-62746-1_80
Wang, F. (2021b). The Application of Computer Virtual Technology in Modern Sports Training. In M. J., Z. J., & M. X. (Eds.), International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy, SPIoT 2020 (Vol. 1282, pp. 250–256). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-62743-0_35
Wang, C., & Wang, D. (2023). Managing the Integration of Teaching Resources for College Physical Education using Intelligent Edge-Cloud Computing. Journal of Cloud Computing, 12(1). https://doi.org/10.1186/s13677-023-00455-1
Wei, C. (2020). 5G-Oriented IOT Coverage Enhancement and Physical Education Resource Management. Microprocessors and Microsystems, November, 103366. https://doi.org/10.1016/j.micpro.2020.103366
Yang, K., Lee, H., Kim, S., Lee, J., & Oh, D.-G. (2021a). KCI vs. WoS: Comparative Analysis of Korean and International Journal Publications in Library and Information Science. Journal of Information Science Theory and Practice, 9(3), 76–106. https://doi.org/10.1633/JISTaP.2021.9.3.6
Yang, L., Diáz, V. G., & Kumar, P. M. (2021b). Internet of Things-Based Intelligent Physical Support Framework using Future Internet of Things. Technology and Health Care, 29(6), 1187–1199. https://doi.org/10.3233/THC-213000
Yerpude, S., & Singhal, T. K. (2021). “Custolytics”: Internet of Things Based Customer Analytics Aiding Customer Engagement Strategy In Emerging Markets – An Empirical Research. International Journal of Emerging Markets, 16(1), 92–112. https://doi.org/10.1108/IJOEM-05-2018-0250
Yu, H., & Mi, Y. (2023). Application Model for Innovative Sports Practice Teaching in Colleges Using Internet of Things and Artificial Intelligence. Electronics (Switzerland), 12(4). https://doi.org/10.3390/electronics12040874
Yu, S. (2021). Application of Computer Information Technology in College Physical Education using Fuzzy Evaluation Theory. Computational Intelligence, 37(3), 1181–1198. https://doi.org/10.1111/coin.12352
Zha, J. (2023). Dilemma and Countermeasures of Community Sports Center Governance under the Background of Big Data and Internet of Things. Journal of Computational Methods in Sciences and Engineering, 23(4), 2069–2081. https://doi.org/10.3233/JCM-226785
Zhang, J., & Gao, X. (2021). MOOC System in the Era of Big Data Improves the Effectiveness of College Physical Education. In M. J., Z. J., & M. X. (Eds.), International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy, SPIoT 2020 (Vol. 1283, pp. 695–699). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-62746-1_103
Zhang, L., Sengan, S., & Manivannan, P. (2022). The Capture and Evaluation System of Student Actions in Physical Education Classroom Based on Deep Learning. Journal of Interconnection Networks. https://doi.org/10.1142/S0219265921430258
Zong, X., Lipowski, M., Liu, T., Qiao, M., & Bo, Q. (2022). The Sustainable Development of Psychological Education in Students’ Learning Concept in Physical Education Based on Machine Learning and the Internet of Things. Sustainability (Switzerland), 14(23). https://doi.org/10.3390/su142315947
Published
How to Cite
Issue
Section
Copyright (c) 2024 Armando Monterrosa Quintero, Felipe Poblete Valderrama, Sergio Ricardo Quiroga
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
This is an open-access article distributed under the terms of the Creative Commons Attribution-ShareAlike 4.0 International License which permits unrestricted use, distribution, and reproduction in any medium. Copyrights of all materials published in Journal Sport Area are freely available without charge to users or / institution. Users are allowed to read, download, copy, distribute, search, or link to full-text articles in this journal without asking by giving appropriate credit, provide a link to the license, and indicate if changes were made. All of the remix, transform, or build upon the material must distribute the contributions under the same license as the original.
Accepted 2024-03-20
Published 2024-04-02
