Exploring the Potential of ROS in Education: A Project-Based Learning Approach to Teaching Programming to Children
- DOI
- 10.2991/978-94-6463-360-3_4How to use a DOI?
- Keywords
- Project-based learning (PBL); Experiential learning; Educational robotics; Robot Operating System (ROS)
- Abstract
This study looks at how project-based learning (PBL) with the Robot Operating System (ROS) can help children between the ages of 8 and 12 improve their problem-solving and programming abilities. The project’s objective is to program a robot to independently navigate a maze, beginning with simple in- structions and progressing to more complex algorithms. In the study, 80 children were randomly assigned to the experimental or control group. Their gender and prior programming experience were also collected. Descriptive statistics and ANOVA were used to analyze the data. The theoretical background discusses educational robotics using ROS as well as the advantages of project-based and experiential learning. As part of the method, children are introduced to robotics and ROS, a maze is made, robot navigation is shown, and the robot is pro- grammed. The study’s findings suggest that PBL with ROS can assist children in improving their programming and problem-solving skills.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Aymane Jdidou AU - Souhaib Aammou PY - 2024 DA - 2024/02/05 TI - Exploring the Potential of ROS in Education: A Project-Based Learning Approach to Teaching Programming to Children BT - Proceedings of the E-Learning and Smart Engineering Systems (ELSES 2023) PB - Atlantis Press SP - 29 EP - 35 SN - 2667-128X UR - https://doi.org/10.2991/978-94-6463-360-3_4 DO - 10.2991/978-94-6463-360-3_4 ID - Jdidou2024 ER -