Abstract
Due to the fast-growing Internet speed, processing power, and the use of sophisticated algorithms, information is generated at a very fast speed. This information is broad in scope and covers a variety of fields, including the medical field, transportation sector, business firms, and education institutes. Due to the abundance of information, it is challenging to identify useful materials in general, but finding the right materials for students is particularly challenging. To address this issue, this paper aims to study the design of a personalized sports teaching resource recommendation system using a fuzzy clustering technique. To do so, we collected relevant data from entities such as students and teachers, which includes a range of attributes related to physical education, including curricular materials, student profiles, past performance records, and resource metadata. The collected data were then preprocessed to prepare it for further analysis. The features, preferences, and learning styles of each student are examined to develop student profiles based on the data that have been collected. A database schema was created that stored all the information related to physical education teaching resources, students, and teachers. The fuzzy C-means clustering algorithm is used to improve the collaborative filtering recommendation algorithm and reduce the data sparsity of the teaching resources recommendation algorithm. Through a series of experiments, it has been proven that the system designed in this paper can recommend suitable learning resources for different learners and has good performance. At the same time, the recommended method has higher recommendation accuracy and can effectively improve the quality of physical education teaching.
Similar content being viewed by others
Data availability
Not applicable.
References
Ali M, Yin B, Kumar A, Sheikh AM et al (2020 July) Reduction of multiplications in convolutional neural networks. In: 2020 39th Chinese control conference (CCC). IEEE, pp 7406–7411. https://doi.org/10.23919/CCC50068.2020.9188843
Ali M, Yin B, Bilal H et al (2023) Advanced efficient strategy for detection of dark objects based on spiking network with multi-box detection. Multimed Tools Appl. https://doi.org/10.1007/s11042-023-16852-2
Ashraf MA, Yang M, Zhang Y, Denden M, Tlili A, Liu J, Huang R, Burgos D (2021) A systematic review of systematic reviews on blended learning: trends, gaps, and future directions. Psychol Res Behav Manag 1525–1541:2021
Aslam MS, Dai X, Hou J, Li Q, Ullah R, Ni Z, Liu Y (2020) Reliable control design for composite-driven scheme based on delay networked T–S fuzzy system. Int J Robust Nonlinear Control 30(4):1622–1642
Castro MDB, Tumibay GM (2021) A literature review: efficacy of online learning courses for higher education institution using meta-analysis. Educ Inf Technol 26:1367–1385
Chen Z (2019) Observer-based dissipative output feedback control for network T–S fuzzy systems under time delays with mismatch premise. Nonlinear Dyn 95:2923–2941
Chen G, Chen P, Huang W, Zhai J (2022) Continuance intention mechanism of middle school student users on online learning platform based on qualitative comparative analysis method. Math Probl Eng 2022:1–12
Cheng Y, Xu B (2020) Research on key technologies of personalized education resource recommendation system based on big data environment. J Phys Conf Ser 1437(1):012024
Dou H, Liu Y, Chen S et al (2023) A hybrid CEEMD-GMM scheme for enhancing the detection of traffic flow on highways. Soft Comput 27:16373–16388. https://doi.org/10.1007/s00500-023-09164-y
Erlangga DT (2022) Student problems in online learning: solutions to keep education going on. J Engl Lang Teach Learn 3(1):21–26
Escrivaboulley G, Tessier D, Ntoumanis N (2018) Need-supportive professional development in elementary school physical education: effects of a cluster-randomized control trial on teachers’ motivating style and student physical activity. Sport Exerc Perform Psychol 7(2):218–234
García-Morales VJ, Garrido-Moreno A, Martín-Rojas R (2021) The transformation of higher education after the COVID disruption: emerging challenges in an online learning scenario. Front Psychol 12:616059
Gråstén A, Watt A (2017) A motivational model of physical education and links to enjoyment, knowledge, performance, total physical activity and body mass index. J Sports Sci Med 16(3):318–327
Han Y (2019) Construction of online educational resources recommendation model based on subject words. Autom Technol Appl 38(9):170–173
Hu T (2019) Design of English teaching resource management system based on collaborative recommendation. Autom Technol Appl 38(9):158–161
Krishnan GK, Parthasarathy M, Sasidhar D (2018) Emotion detection and music recommendation system using machine learning. Int J Pure Appl Math 119(15):1487–1497
Lenin M, William E, Maitrayi M (2018) Personalized news recommendation using graph-based approach. Intell Data Anal 22(4):881–909
Li F, Chen YJ (2021) Design and simulation of intelligent matching algorithm for online mathematics courses based on fuzzy clustering. Modern Electron Technol 44(16):125–128
Li H, Li H, Zhang S, Zhong Z, Cheng J (2019) Intelligent learning system based on personalized recommendation technology. Neural Comput Appl 31:4455–4462
Li T, Fan Y, Li Y, Tarkoma S, Hui P (2021) Understanding the long-term evolution of mobile app usage. IEEE Trans Mobile Comput 2021:1
Mahboob VA, Jalali M, Jahan MV (2017) Swallow: resource and tag recommender system based on heat diffusion algorithm in social annotation systems. Comput Intell 33(1):99–118
Ming QY (2019) Analysis and design of video teaching recommendation system based on personalization. Microcomput Appl 35(9):33–36
Mitchell A, Petter S, Harris AL (2017) Learning by doing: twenty successful active learning exercises for information systems courses. J Inf Technol Educ Innov Pract 16(1):21–46
Müller C, Mildenberger T (2021) Facilitating flexible learning by replacing classroom time with an online learning environment: a systematic review of blended learning in higher education. Educ Res Rev 34:100394
Odeesh J, Salih S (2020) The role of green human resource management functions in promoting blue ocean strategy. Hum J 8(1):129–145
Ogunleye A, Anyaegbuna BE (2018) An assessment of physics laboratory teaching and learning resources in two Nigerian universities. Cypriot J Educ Sci 37(13):1–14
Qaisar MI, Majid A, Shamrooz S (2023) Adaptive event-triggered robust H∞ control for Takagi–Sugeno fuzzy networked Markov jump systems with time-varying delay. Asian J Control 25(1):213–228
Raja R, Nagasubramani PC (2018) Impact of modern technology in education. J Appl Adv Res 3(1):33–35
Shamrooz M, Li Q, Hou J (2021) Fault detection for asynchronous T–S fuzzy networked Markov jump systems with new event-triggered scheme. IET Control Theory Appl 15(11):1461–1473
Thejaswini N, Aditya CR (2019) Smart E-commerce recommendation system for handling limited resource and cold start problem. Int J Comput Sci Eng 7(5):961–964
Ullah R, Dai X, Sheng A (2020) Event-triggered scheme for fault detection and isolation of non-linear system with time-varying delay. IET Control Theory Appl 14(16):2429–2438
Wang L, Zhai Q, Yin B et al (2019) Second-order convolutional network for crowd counting. In: Proceedings of the SPIE 11198, 4th international workshop on pattern recognition, 111980T (31 July 2019). https://doi.org/10.1117/12.2540362
Wang GS, Yuan HL, Huang XJ (2021) Network learning resource recommendation algorithm based on improved collaborative filtering. Minicomput Syst 42(5):940–945
Wu Q, Li X, Wang K et al (2023) Regional feature fusion for on-road detection of objects using camera and 3D-LiDAR in high-speed autonomous vehicles. Soft Comput 27:18195–18213. https://doi.org/10.1007/s00500-023-09278-3
Xu H, Sun Z, Cao Y et al (2023) A data-driven approach for intrusion and anomaly detection using automated machine learning for the Internet of Things. Soft Comput. https://doi.org/10.1007/s00500-023-09037-4
Yan L, Qi L (2017) Research on Big Data mining technology of mobile learning system based on android platform. Modern Electron Technol 40(19):142–144
Yang F, Zhang J (2022) Traditional Chinese sports under China’s health strategy. J Environ Public Health 2022:1
Yao W, Guo Y, Wu Y, Guo J (2017 July) Experimental validation of fuzzy PID control of flexible joint system in presence of uncertainties. In: 2017 36th Chinese control conference (CCC). IEEE, pp 4192–4197. https://doi.org/10.23919/ChiCC.2017.8028015
Yin B, Khan J, Wang L, Zhang J, Kumar A (2019 July) Real-time lane detection and tracking for advanced driver assistance systems. In: 2019 Chinese control conference (CCC). IEEE, pp 6772–6777. https://doi.org/10.23919/ChiCC.2019.8866334
Zhang HW (2018) LDA based personalized teaching resource recommendation system. Modern Inf Technol 2(10):18–20
Zhang J, Li CX, Zhu RH (2021) Massive video teaching resource management system based on cloud platform. Modern Electron Technol 43(21):151–155
Zheng W, Yin L (2022) Characterization inference based on joint-optimization of multi-layer semantics and deep fusion matching network. PeerJ Comput Sci 8:e908
Zheng W, Tian X, Yang B, Liu S, Ding Y, Tian J, Yin L (2022a) A few shot classification methods based on multiscale relational networks. Appl Sci 12:4059
Zheng W, Zhou Y, Liu S, Tian J, Yang B, Yin L (2022b) A deep fusion matching network semantic reasoning model. Appl Sci 12:3416
Funding
No funding was provided for the completion of this study.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
All authors declare that they have no conflict of interest.
Ethical approval
Not applicable.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Chen, J., Zhou, G. & Zhong, Y. A personalized recommendation system for teaching resources in sports using fuzzy C-means clustering technique. Soft Comput 28, 703–720 (2024). https://doi.org/10.1007/s00500-023-09421-0
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00500-023-09421-0