Back to Search Start Over

Exploring Computational Thinking Skills Training Through Augmented Reality and AIoT Learning.

Authors :
Lin, Yu-Shan
Chen, Shih-Yeh
Tsai, Chia-Wei
Lai, Ying-Hsun
Source :
Frontiers in Psychology; 2/23/2021, Vol. 11, pN.PAG-N.PAG, 9p
Publication Year :
2021

Abstract

Given the widespread acceptance of computational thinking (CT) in educational systems around the world, primary and higher education has begun thinking about how to cultivate students' CT competences. The artificial intelligence of things (AIoT) combines artificial intelligence (AI) and the Internet of things (IoT) and involves integrating sensing technologies at the lowest level with relevant algorithms in order to solve real-world problems. Thus, it has now become a popular technological application for CT training. In this study, a novel AIoT learning with Augmented Reality (AR) technology was proposed and explored the effect of CT skills. The students used AR applications to understand AIoT applications in practice, attempted the placement of different AR sensors in actual scenarios, and further generalized and designed algorithms. Based on the results of the experimental course, we explored the influence of prior knowledge and usage intention on students' CT competence training. The results show that proposed AIoT learning can increase students' learning intention and that they had a positive impact on problem solving and comprehension with AR technology, as well as application planning and design. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
16641078
Volume :
11
Database :
Complementary Index
Journal :
Frontiers in Psychology
Publication Type :
Academic Journal
Accession number :
148929506
Full Text :
https://doi.org/10.3389/fpsyg.2021.640115