IoT-Integrated System for Continuous Assessment of Elementary School Martial Arts Education with Automated Classifier
The IoT system would facilitate the continuous assessment of students' martial arts development by tracking their progress over time. The integration of Internet of Things (IoT) technology in elementary school martial arts education has the potential to revolutionize the learning experience and...
Published in: | International Journal on Recent and Innovation Trends in Computing and Communication |
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Auricle Global Society of Education and Research
2023
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2-s2.0-85174339777 Song Y.; Mohamed Shapie M.N. IoT-Integrated System for Continuous Assessment of Elementary School Martial Arts Education with Automated Classifier 2023 International Journal on Recent and Innovation Trends in Computing and Communication 11 6 10.17762/ijritcc.v11i6.7720 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174339777&doi=10.17762%2fijritcc.v11i6.7720&partnerID=40&md5=c5b2b091b4d9656a7f0e8ccec96082e0 The IoT system would facilitate the continuous assessment of students' martial arts development by tracking their progress over time. The integration of Internet of Things (IoT) technology in elementary school martial arts education has the potential to revolutionize the learning experience and promote holistic development. This paper proposed an IoT-integrated system for the assessment of elementary school martial arts education. The proposed architecture incorporates an Automated Ranking Parallel Classifier (ARPC) model. The proposed ARPC system incorporates physical health monitoring and assessment, providing real-time data on students' physical activity, heart rate, and other relevant health metrics. The IoT system enables continuous monitoring of students' physical activity, allowing instructors to track their progress, level of engagement, and effort. the system monitors students' physical health parameters, such as heart rate, respiration rate, and sleep patterns, enabling early detection of health issues and supporting overall well-being. The ARPC model comprises the ranking of the features in the IoT data with parallel data processing. With ARPC the activities of the students are monitored and martial arts education in elementary schools is examined. Simulation analysis stated that the ARPC model achieves a higher classification accuracy of 99.73% compared with the conventional state-of-art techniques. © 2023 Auricle Global Society of Education and Research. Auricle Global Society of Education and Research 23218169 English Article All Open Access; Gold Open Access |
author |
Song Y.; Mohamed Shapie M.N. |
spellingShingle |
Song Y.; Mohamed Shapie M.N. IoT-Integrated System for Continuous Assessment of Elementary School Martial Arts Education with Automated Classifier |
author_facet |
Song Y.; Mohamed Shapie M.N. |
author_sort |
Song Y.; Mohamed Shapie M.N. |
title |
IoT-Integrated System for Continuous Assessment of Elementary School Martial Arts Education with Automated Classifier |
title_short |
IoT-Integrated System for Continuous Assessment of Elementary School Martial Arts Education with Automated Classifier |
title_full |
IoT-Integrated System for Continuous Assessment of Elementary School Martial Arts Education with Automated Classifier |
title_fullStr |
IoT-Integrated System for Continuous Assessment of Elementary School Martial Arts Education with Automated Classifier |
title_full_unstemmed |
IoT-Integrated System for Continuous Assessment of Elementary School Martial Arts Education with Automated Classifier |
title_sort |
IoT-Integrated System for Continuous Assessment of Elementary School Martial Arts Education with Automated Classifier |
publishDate |
2023 |
container_title |
International Journal on Recent and Innovation Trends in Computing and Communication |
container_volume |
11 |
container_issue |
6 |
doi_str_mv |
10.17762/ijritcc.v11i6.7720 |
url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174339777&doi=10.17762%2fijritcc.v11i6.7720&partnerID=40&md5=c5b2b091b4d9656a7f0e8ccec96082e0 |
description |
The IoT system would facilitate the continuous assessment of students' martial arts development by tracking their progress over time. The integration of Internet of Things (IoT) technology in elementary school martial arts education has the potential to revolutionize the learning experience and promote holistic development. This paper proposed an IoT-integrated system for the assessment of elementary school martial arts education. The proposed architecture incorporates an Automated Ranking Parallel Classifier (ARPC) model. The proposed ARPC system incorporates physical health monitoring and assessment, providing real-time data on students' physical activity, heart rate, and other relevant health metrics. The IoT system enables continuous monitoring of students' physical activity, allowing instructors to track their progress, level of engagement, and effort. the system monitors students' physical health parameters, such as heart rate, respiration rate, and sleep patterns, enabling early detection of health issues and supporting overall well-being. The ARPC model comprises the ranking of the features in the IoT data with parallel data processing. With ARPC the activities of the students are monitored and martial arts education in elementary schools is examined. Simulation analysis stated that the ARPC model achieves a higher classification accuracy of 99.73% compared with the conventional state-of-art techniques. © 2023 Auricle Global Society of Education and Research. |
publisher |
Auricle Global Society of Education and Research |
issn |
23218169 |
language |
English |
format |
Article |
accesstype |
All Open Access; Gold Open Access |
record_format |
scopus |
collection |
Scopus |
_version_ |
1809677887443304448 |