Please use this identifier to cite or link to this item: https://doi.org/10.1145/3484272.3484969
Title: Ruggedizing CS1 Robotics: Tools and Approaches forOnline Teaching
Authors: Anderson, Boyd 
Henz, Martin 
Tee, Hao-Wei
Keywords: educational robotics
teaching CS1 using robotics
online robotics
learning tools
Issue Date: 20-Oct-2021
Publisher: ACM, New York, NY
Citation: Anderson, Boyd, Henz, Martin, Tee, Hao-Wei (2021-10-20). Ruggedizing CS1 Robotics: Tools and Approaches forOnline Teaching. 2021 ACM SIGPLAN International SPLASH-E Symposium (SPLASH-E ’21). ScholarBank@NUS Repository. https://doi.org/10.1145/3484272.3484969
Abstract: First-year students benefit from robotics-based programming exercises by learning how to use sensors to gain information on the (changing) world surrounding the robot, how to model this information using data structures, and how to design algorithms for performing meaningful activities. Robotics-based exercises are naturally experiential and teambased and provide among the most memorable teachable moments of first-year programming courses. We summarize the pedagogical challenges that robotics-based exercises face, even under ideal circumstances, and how a university responded to these challenges. We report on the additional challenges faced in late 2020 at the same university as a result of the COVID pandemic, and how the course staff addressed these challenges using programming language implementation and network tools. The crucial components were (1) a custom-built web-based development environment with collaborative features including a built-in compiler, (2) a portable virtual machine, (3) collaborative editing, (4) open source protocols, and (5) peer-to-peer eleconferencing software. We report on the lessons learnt and how to further improve the resilience of robotics-based programming exercises.
Source Title: 2021 ACM SIGPLAN International SPLASH-E Symposium (SPLASH-E ’21)
URI: https://scholarbank.nus.edu.sg/handle/10635/200914
DOI: 10.1145/3484272.3484969
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