Online Teacher Education Students Solving Education Problems using Computational Thinking to Create Accessible Robot Designs
PROCEEDING
Ann Musgrove, Jillian Powers, Florida Atlantic University, United States ; Mohammed Azhar, Borough of Manhattan Community College, CUNY, United States ; Cristine Yao, Florida Atlantic University, United States
Society for Information Technology & Teacher Education International Conference, in San Diego, CA, United States ISBN 978-1-939797-61-2 Publisher: Association for the Advancement of Computing in Education (AACE), Waynesville, NC USA
Abstract
This paper shares the results of a qualitative study of 59 online pre-service teacher education students who completed an instructional module on applied Computational Thinking (CT), Assistive Technology (AT), and unplugged robot design. The unit culminated with students designing a robot drawing to solve an educational problem of their choice that incorporated accessibility features and answering questions about their robot. Data was collected via survey and student designed robot artifacts. This module was designed by computer science and education faculty
Citation
Musgrove, A., Powers, J., Azhar, M. & Yao, C. (2022). Online Teacher Education Students Solving Education Problems using Computational Thinking to Create Accessible Robot Designs. In E. Langran (Ed.), Proceedings of Society for Information Technology & Teacher Education International Conference (pp. 67-74). San Diego, CA, United States: Association for the Advancement of Computing in Education (AACE). Retrieved May 16, 2022 from https://www.learntechlib.org/primary/p/221117/.
© 2022 Association for the Advancement of Computing in Education (AACE)
Slides
- presentation_3140_61077.pptx (Access with Subscription)
- Online Teacher Education Students Solving Education Problems using Computational Thinking to Create Accessible Robot Designs.pptx (Access with Subscription)
