Development and Evaluation of an Internet of Things Project for Preservice Elementary School Teachers

Programming education is gaining more attention in elementary schools, especially through the use of visual programming tools and development boards. However, the elementary school teacher education in Taiwan allows only limited time periods for training in visual programming and the use of development boards. Development boards are ideal for creating internet of things (IoT) projects, and project-based learning (PBL) is an effective teaching strategy in programming education to promote active learning. Therefore, to sustainably cultivate 21st-century teachers, this study developed an IoT PBL activity for preservice elementary school teachers in Taiwan, so as to improve their attitude toward programming and to enhance their content knowledge of programming teaching, including in computational thinking concepts and knowledge concerning the micro:bit and IoT. This project aimed to engage preservice elementary school teachers in using the micro:bit and electronic modules to create cardboard games with IoT features. A preliminary evaluation was conducted within a teacher education course to verify the project’s feasibility. Consequently, the preservice elementary school teachers participating in this project could develop various IoT cardboard games through teamwork. Their scores on the assessments of computational thinking concepts, development board knowledge, and attitude toward programming showed significant improvement after the project activity. They also expressed highly positive feedback on the project. These findings verify that the proposed PBL activity could be feasible for elementary teacher education.

Authors

Institutions

Publication Details

Journal
Sustainability
Published
2024-09-03
DOI
https://doi.org/10.3390/su16177632
Citations
4
Primary Topic
Teaching and Learning Programming
Type
article
Field-Weighted Citation Impact
1.65
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development and Evaluation of an Internet of Things Project for Preservice Elementary School Teachers

Fu-Hsing Tsai
4 citations
Sustainability
Teaching and Learning Programming
1.65
article

Development and Evaluation of an Internet of Things Project for Preservice Elementary School Teachers

Fu-Hsing Tsai
article en
4 citations

Abstract

Programming education is gaining more attention in elementary schools, especially through the use of visual programming tools and development boards. However, the elementary school teacher education in Taiwan allows only limited time periods for training in visual programming and the use of development boards. Development boards are ideal for creating internet of things (IoT) projects, and project-based learning (PBL) is an effective teaching strategy in programming education to promote active learning. Therefore, to sustainably cultivate 21st-century teachers, this study developed an IoT PBL activity for preservice elementary school teachers in Taiwan, so as to improve their attitude toward programming and to enhance their content knowledge of programming teaching, including in computational thinking concepts and knowledge concerning the micro:bit and IoT. This project aimed to engage preservice elementary school teachers in using the micro:bit and electronic modules to create cardboard games with IoT features. A preliminary evaluation was conducted within a teacher education course to verify the project’s feasibility. Consequently, the preservice elementary school teachers participating in this project could develop various IoT cardboard games through teamwork. Their scores on the assessments of computational thinking concepts, development board knowledge, and attitude toward programming showed significant improvement after the project activity. They also expressed highly positive feedback on the project. These findings verify that the proposed PBL activity could be feasible for elementary teacher education.

SustainabilityVol. 16(17)
National Chiayi University (TW)
Openalex Percentile: Top 12%
Teaching and Learning Programming
1.65
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.