Affecting Young Children’s Knowledge, Attitudes, and Behaviors for Ultraviolet Radiation Protection through the Internet of Things: A Quasi-Experimental Study
Prolonged exposure to ultraviolet (UV) radiation is linked to skin cancer. Children are more vulnerable to UV harmful effects compared to adults. Children’s active involvement in using Internet of Things (IoT) devices to collect and analyze real-time UV radiation data is suggested to increase their...
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MDPI AG
2021
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oai:doaj.org-article:2be3925dcb5743cd8ed6ea2cd4a4e6e42021-11-25T17:17:21ZAffecting Young Children’s Knowledge, Attitudes, and Behaviors for Ultraviolet Radiation Protection through the Internet of Things: A Quasi-Experimental Study10.3390/computers101101372073-431Xhttps://doaj.org/article/2be3925dcb5743cd8ed6ea2cd4a4e6e42021-10-01T00:00:00Zhttps://www.mdpi.com/2073-431X/10/11/137https://doaj.org/toc/2073-431XProlonged exposure to ultraviolet (UV) radiation is linked to skin cancer. Children are more vulnerable to UV harmful effects compared to adults. Children’s active involvement in using Internet of Things (IoT) devices to collect and analyze real-time UV radiation data is suggested to increase their awareness of UV protection. This quasi-experimental pre-test post-test control group study implemented light sensors in a STEM inquiry-based learning environment focusing on UV radiation and protection in primary education. This exploratory, small-scale study investigated the effect of a STEM environment implementing IoT devices on 6th graders’ knowledge, attitudes, and behaviors about UV radiation and protection. Participants were 31 primary school students. Experimental group participants (<i>n</i> = 15) attended four eighty-minute inquiry-based lessons on UV radiation and protection and used sensors to measure and analyze UV radiation in their school. Data sources included questionnaires on UV knowledge, attitudes, and behaviors administered pre- and post-intervention. Statistically significant learning gains were found only for the experimental group (t<sub>14</sub> = −3.64, <i>p</i> = 0.003). A statistically significant positive behavioral change was reported for experimental group participants six weeks post-intervention. The study adds empirical evidence suggesting the value of real-time data-driven approaches implementing IoT devices to positively influence students’ knowledge and behaviors related to socio-scientific problems affecting their health.Sotiroula TheodosiIolie NicolaidouMDPI AGarticleInternet of Things (IoT)ultraviolet (UV) radiation protectionprimary educationSTEM interventioninquiry learningElectronic computers. Computer scienceQA75.5-76.95ENComputers, Vol 10, Iss 137, p 137 (2021) |
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Internet of Things (IoT) ultraviolet (UV) radiation protection primary education STEM intervention inquiry learning Electronic computers. Computer science QA75.5-76.95 |
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Internet of Things (IoT) ultraviolet (UV) radiation protection primary education STEM intervention inquiry learning Electronic computers. Computer science QA75.5-76.95 Sotiroula Theodosi Iolie Nicolaidou Affecting Young Children’s Knowledge, Attitudes, and Behaviors for Ultraviolet Radiation Protection through the Internet of Things: A Quasi-Experimental Study |
description |
Prolonged exposure to ultraviolet (UV) radiation is linked to skin cancer. Children are more vulnerable to UV harmful effects compared to adults. Children’s active involvement in using Internet of Things (IoT) devices to collect and analyze real-time UV radiation data is suggested to increase their awareness of UV protection. This quasi-experimental pre-test post-test control group study implemented light sensors in a STEM inquiry-based learning environment focusing on UV radiation and protection in primary education. This exploratory, small-scale study investigated the effect of a STEM environment implementing IoT devices on 6th graders’ knowledge, attitudes, and behaviors about UV radiation and protection. Participants were 31 primary school students. Experimental group participants (<i>n</i> = 15) attended four eighty-minute inquiry-based lessons on UV radiation and protection and used sensors to measure and analyze UV radiation in their school. Data sources included questionnaires on UV knowledge, attitudes, and behaviors administered pre- and post-intervention. Statistically significant learning gains were found only for the experimental group (t<sub>14</sub> = −3.64, <i>p</i> = 0.003). A statistically significant positive behavioral change was reported for experimental group participants six weeks post-intervention. The study adds empirical evidence suggesting the value of real-time data-driven approaches implementing IoT devices to positively influence students’ knowledge and behaviors related to socio-scientific problems affecting their health. |
format |
article |
author |
Sotiroula Theodosi Iolie Nicolaidou |
author_facet |
Sotiroula Theodosi Iolie Nicolaidou |
author_sort |
Sotiroula Theodosi |
title |
Affecting Young Children’s Knowledge, Attitudes, and Behaviors for Ultraviolet Radiation Protection through the Internet of Things: A Quasi-Experimental Study |
title_short |
Affecting Young Children’s Knowledge, Attitudes, and Behaviors for Ultraviolet Radiation Protection through the Internet of Things: A Quasi-Experimental Study |
title_full |
Affecting Young Children’s Knowledge, Attitudes, and Behaviors for Ultraviolet Radiation Protection through the Internet of Things: A Quasi-Experimental Study |
title_fullStr |
Affecting Young Children’s Knowledge, Attitudes, and Behaviors for Ultraviolet Radiation Protection through the Internet of Things: A Quasi-Experimental Study |
title_full_unstemmed |
Affecting Young Children’s Knowledge, Attitudes, and Behaviors for Ultraviolet Radiation Protection through the Internet of Things: A Quasi-Experimental Study |
title_sort |
affecting young children’s knowledge, attitudes, and behaviors for ultraviolet radiation protection through the internet of things: a quasi-experimental study |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/2be3925dcb5743cd8ed6ea2cd4a4e6e4 |
work_keys_str_mv |
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