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...

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Bibliographic Details
Published in:International Journal on Recent and Innovation Trends in Computing and Communication
Main Author: Song Y.; Mohamed Shapie M.N.
Format: Article
Language:English
Published: Auricle Global Society of Education and Research 2023
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174339777&doi=10.17762%2fijritcc.v11i6.7720&partnerID=40&md5=c5b2b091b4d9656a7f0e8ccec96082e0
id 2-s2.0-85174339777
spelling 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
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