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Improving physical education through innovative multimedia learning platform and data-driven instruction.

Authors :
Li, Guo
Liu, Jing
Source :
Soft Computing - A Fusion of Foundations, Methodologies & Applications. Jan2024, Vol. 28 Issue 2, p1567-1584. 18p.
Publication Year :
2024

Abstract

In the age of multimedia networks and advanced educational tools, there is a growing need for innovative and effective educational systems. To engage students more effectively and enhance learning results, traditional physical education programs have seen a need for modernization. This paper investigates the creation of a cutting-edge video resource platform for physical education to address these issues, revolutionizing the educational process by utilizing micro-videos and multimedia technology. To build the foundation of our platform, we make use of multimedia networks and various kinds of micro-videos. The platform combines the power of real-time conversation, animation, and video to create an immersive learning environment. In addition, we use data-driven adaptive teaching methodologies, which assess student performance and change educational material through individual growth. Our approach begins with collecting data and processing signals, with audio signals serving as the primary input for our watermarking method. To determine masking thresholds across important frequency bands, we compute power spectral density (PSD) using the Fast Fourier Transform. Using watermarking to integrate health data, these thresholds, both tonal and non-tonal, ensure imperceptibility and robustness. In turn, physical education is personalized using integrated data. Health information that has been extracted is carefully incorporated into the curriculum, enhancing it and assisting pupils with a range of medical issues. Our study results show that engagement and learning outcomes have significantly improved. For instance, we noticed a considerable improvement in student satisfaction levels, with an average rise of 25%, and an average increase in learning efficiency of 30% for students. These results highlight the potential of our proposed platform to revolutionize physical education. This work reflects a development in tailored and data-driven instructional approaches in addition to a step forward for contemporary physical education. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14327643
Volume :
28
Issue :
2
Database :
Academic Search Index
Journal :
Soft Computing - A Fusion of Foundations, Methodologies & Applications
Publication Type :
Academic Journal
Accession number :
174761780
Full Text :
https://doi.org/10.1007/s00500-023-09436-7