Παρακαλώ χρησιμοποιήστε αυτό το αναγνωριστικό για να παραπέμψετε ή να δημιουργήσετε σύνδεσμο προς αυτό το τεκμήριο: https://hdl.handle.net/20.500.14279/24107
Τίτλος: Affecting Young Children’s Knowledge, Attitudes, and Behaviors for Ultraviolet Radiation Protection through the Internet of Things: A Quasi-Experimental Study
Συγγραφείς: Theodosi, Sotiroula 
Nicolaidou, Iolie 
Editors: Correia, Sergio 
Major Field of Science: Social Sciences
Field Category: Media and Communications
Λέξεις-κλειδιά: Primary education;Inquiry learning;Ultraviolet (UV) radiation protection;Internet of Things (IoT);STEM intervention
Ημερομηνία Έκδοσης: 25-Οκτ-2021
Πηγή: Computers, 2021, vol. 10. iss. 11
Volume: 10
Issue: 11
Περιοδικό: Computers 
Περίληψη: 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
Εμφανίζεται στις συλλογές:Άρθρα/Articles

Αρχεία σε αυτό το τεκμήριο:
Αρχείο Περιγραφή ΜέγεθοςΜορφότυπος
computers-10-00137-v2.pdfOpen Access288.01 kBAdobe PDFΔείτε/ Ανοίξτε
CORE Recommender
Δείξε την πλήρη περιγραφή του τεκμηρίου

SCOPUSTM   
Citations

6
checked on 9 Νοε 2023

WEB OF SCIENCETM
Citations

2
Last Week
0
Last month
0
checked on 29 Οκτ 2023

Page view(s)

275
Last Week
1
Last month
13
checked on 22 Νοε 2024

Download(s) 20

148
checked on 22 Νοε 2024

Google ScholarTM

Check

Altmetric


Αυτό το τεκμήριο προστατεύεται από άδεια Άδεια Creative Commons Creative Commons