Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/24107
Title: Affecting Young Children’s Knowledge, Attitudes, and Behaviors for Ultraviolet Radiation Protection through the Internet of Things: A Quasi-Experimental Study
Authors: Theodosi, Sotiroula 
Nicolaidou, Iolie 
Editors: Correia, Sergio 
Major Field of Science: Social Sciences
Field Category: Media and Communications
Keywords: Primary education;Inquiry learning;Ultraviolet (UV) radiation protection;Internet of Things (IoT);STEM intervention
Issue Date: 25-Oct-2021
Source: Computers, 2021, vol. 10. iss. 11
Volume: 10
Issue: 11
Journal: Computers 
Abstract: 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 (n = 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 (t14 = −3.64, p = 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.
URI: https://hdl.handle.net/20.500.14279/24107
ISSN: 2073431X
DOI: 10.3390/computers10110137
Rights: © by the authors
Type: Article
Affiliation : Cyprus University of Technology 
Publication Type: Peer Reviewed
Appears in Collections:Άρθρα/Articles

Files in This Item:
File Description SizeFormat
computers-10-00137-v2.pdfOpen Access288.01 kBAdobe PDFView/Open
CORE Recommender
Show full item record

SCOPUSTM   
Citations

6
checked on Nov 9, 2023

WEB OF SCIENCETM
Citations

2
Last Week
0
Last month
0
checked on Oct 29, 2023

Page view(s)

275
Last Week
1
Last month
13
checked on Nov 22, 2024

Download(s) 20

148
checked on Nov 22, 2024

Google ScholarTM

Check

Altmetric


This item is licensed under a Creative Commons License Creative Commons