WIP: A Unit Testing Framework for Self-Guided Personalized Online Robotics Learning

• URL: http://arxiv.org/abs/2405.11130v1
• Date: Sat, 18 May 2024 00:56:46 GMT
• Title: WIP: A Unit Testing Framework for Self-Guided Personalized Online Robotics Learning
• Authors: Ponkoj Chandra Shill, David Feil-Seifer, Jiullian-Lee Vargas Ruiz, Rui Wu,
• Abstract summary: This paper focuses on creating a system for unit testing while integrating it into the course workflow. In line with the framework's personalized student-centered approach, this method makes it easier for students to revise, and debug their programming work. The course workflow updated to include unit tests will strengthen the learning environment and make it more interactive so that students can learn how to program robots in a self-guided fashion.
• Score: 3.613641107321095
• License: http://creativecommons.org/publicdomain/zero/1.0/
• Abstract: Our ongoing development and deployment of an online robotics education platform highlighted a gap in providing an interactive, feedback-rich learning environment essential for mastering programming concepts in robotics, which they were not getting with the traditional code-simulate-turn in workflow. Since teaching resources are limited, students would benefit from feedback in real-time to find and fix their mistakes in the programming assignments. To address these concerns, this paper will focus on creating a system for unit testing while integrating it into the course workflow. We facilitate this real-time feedback by including unit testing in the design of programming assignments so students can understand and fix their errors on their own and without the prior help of instructors/TAs serving as a bottleneck. In line with the framework's personalized student-centered approach, this method makes it easier for students to revise, and debug their programming work, encouraging hands-on learning. The course workflow updated to include unit tests will strengthen the learning environment and make it more interactive so that students can learn how to program robots in a self-guided fashion.

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