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Smart Interactive Education System Based on Wearable Devices
Due to the popularity of smart devices, traditional one-way teaching methods might not deeply attract school students’ attention, especially for the junior high school students, elementary school students, or even younger students, which is a critical issue for educators. Therefore, we develop an in...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6696265/ https://www.ncbi.nlm.nih.gov/pubmed/31344920 http://dx.doi.org/10.3390/s19153260 |
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author | Liang, Jia-Ming Su, Wei-Cheng Chen, Yu-Lin Wu, Shih-Lin Chen, Jen-Jee |
author_facet | Liang, Jia-Ming Su, Wei-Cheng Chen, Yu-Lin Wu, Shih-Lin Chen, Jen-Jee |
author_sort | Liang, Jia-Ming |
collection | PubMed |
description | Due to the popularity of smart devices, traditional one-way teaching methods might not deeply attract school students’ attention, especially for the junior high school students, elementary school students, or even younger students, which is a critical issue for educators. Therefore, we develop an intelligent interactive education system, which leverages wearable devices (smart watches) to accurately capture hand gestures of school students and respond instantly to teachers so as to increase the interaction and attraction of school students in class. In addition, through multiple physical information of school students from the smart watch, it can find out the crux points of the learning process according to the deep data analysis. In this way, it can provide teachers to make instant adjustments and suggest school students to achieve multi-learning and innovative thinking. The system is mainly composed of three components: (1) smart interactive watch; (2) teacher-side smart application (App); and (3) cloud-based analysis system. Specifically, the smart interactive watch is responsible for detecting the physical information and interaction results of school students, and then giving feedback to the teachers. The teacher-side app will provide real-time learning suggestions to adjust the teaching pace to avoid learning disability. The cloud-based analysis system provides intelligent learning advices, academic performance prediction and anomaly learning detection. Through field trials, our system has been verified that can potentially enhance teaching and learning processes for both educators and school students. |
format | Online Article Text |
id | pubmed-6696265 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-66962652019-09-05 Smart Interactive Education System Based on Wearable Devices Liang, Jia-Ming Su, Wei-Cheng Chen, Yu-Lin Wu, Shih-Lin Chen, Jen-Jee Sensors (Basel) Article Due to the popularity of smart devices, traditional one-way teaching methods might not deeply attract school students’ attention, especially for the junior high school students, elementary school students, or even younger students, which is a critical issue for educators. Therefore, we develop an intelligent interactive education system, which leverages wearable devices (smart watches) to accurately capture hand gestures of school students and respond instantly to teachers so as to increase the interaction and attraction of school students in class. In addition, through multiple physical information of school students from the smart watch, it can find out the crux points of the learning process according to the deep data analysis. In this way, it can provide teachers to make instant adjustments and suggest school students to achieve multi-learning and innovative thinking. The system is mainly composed of three components: (1) smart interactive watch; (2) teacher-side smart application (App); and (3) cloud-based analysis system. Specifically, the smart interactive watch is responsible for detecting the physical information and interaction results of school students, and then giving feedback to the teachers. The teacher-side app will provide real-time learning suggestions to adjust the teaching pace to avoid learning disability. The cloud-based analysis system provides intelligent learning advices, academic performance prediction and anomaly learning detection. Through field trials, our system has been verified that can potentially enhance teaching and learning processes for both educators and school students. MDPI 2019-07-24 /pmc/articles/PMC6696265/ /pubmed/31344920 http://dx.doi.org/10.3390/s19153260 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Liang, Jia-Ming Su, Wei-Cheng Chen, Yu-Lin Wu, Shih-Lin Chen, Jen-Jee Smart Interactive Education System Based on Wearable Devices |
title | Smart Interactive Education System Based on Wearable Devices |
title_full | Smart Interactive Education System Based on Wearable Devices |
title_fullStr | Smart Interactive Education System Based on Wearable Devices |
title_full_unstemmed | Smart Interactive Education System Based on Wearable Devices |
title_short | Smart Interactive Education System Based on Wearable Devices |
title_sort | smart interactive education system based on wearable devices |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6696265/ https://www.ncbi.nlm.nih.gov/pubmed/31344920 http://dx.doi.org/10.3390/s19153260 |
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