Redirigiendo al acceso original de articulo en 21 segundos...
Inicio  /  Information  /  Vol: 13 Par: 7 (2022)  /  Artículo
ARTÍCULO
TITULO

Using Augmented Reality in K-12 Education: An Indicative Platform for Teaching Physics

Christina Volioti    
Euclid Keramopoulos    
Theodosios Sapounidis    
Konstantinos Melisidis    
Maria Zafeiropoulou    
Charalampos Sotiriou and Vladimiros Spiridis    

Resumen

Augmented Reality (AR) could provide key benefits in education and create a richer user experience by increasing the motivation and engagement of the students. To this end, the current paper presents a system with three AR applications for teaching physics in the fifth and sixth grades of primary school and in the first grade of secondary school, and the ultimate goal is the development of a unified platform that covers the subject of physics in all classes of K-12 education. The platform provides a useful tool to familiarize both teachers and pupils with AR technologies, aiming to improve the learning and teaching experience and to enhance their skills. The developed system is evaluated in terms of usability, gamification and willingness of the teachers to incorporate this technology into the teaching process. A total of 314 users participated in the research, where they were divided into three user groups: (i) teachers (N = 15), (ii) pupils (N = 189) and (iii) computer science students (N = 110). The outcomes were satisfactory, revealing that the gamified AR applications are easy to use, and teachers are interested in using these AR applications in their classrooms.

 Artículos similares

       
 
Andrea Settimi, Naravich Chutisilp, Florian Aymanns, Julien Gamerro and Yves Weinand    
We present TimberTool (TTool v2.1.1), a software designed for woodworking tasks assisted by augmented reality (AR), emphasizing its essential function of the real-time localization of a tool head?s poses within camera frames. The localization process, a ... ver más
Revista: Applied Sciences

 
Chengyang Peng, Shaohua Jin, Gang Bian, Yang Cui and Meina Wang    
The scarcity and difficulty in acquiring Side-scan sonar target images limit the application of deep learning algorithms in Side-scan sonar target detection. At present, there are few amplification methods for Side-scan sonar images, and the amplificatio... ver más

 
Jie Wang, Jie Yang, Jiafan He and Dongliang Peng    
Semi-supervised learning has been proven to be effective in utilizing unlabeled samples to mitigate the problem of limited labeled data. Traditional semi-supervised learning methods generate pseudo-labels for unlabeled samples and train the classifier us... ver más
Revista: Algorithms

 
João Paulo Oliveira Marum, H. Conrad Cunningham, J. Adam Jones and Yi Liu    
Two recent studies addressed the problem of reducing transitional turbulence in applications developed in C# on .NET. The first study investigated this problem in desktop and Web GUI applications and the second in virtual and augmented reality applicatio... ver más
Revista: Algorithms

 
Woo-Hyun Choi and Jongwon Kim    
Industrial control systems (ICSs) play a crucial role in managing and monitoring critical processes across various industries, such as manufacturing, energy, and water treatment. The connection of equipment from various manufacturers, complex communicati... ver más