WIP: A Unit Testing Framework for Self-Guided Personalized Online Robotics Learning
<|reference_start|>WIP: A Unit Testing Framework for Self-Guided Personalized Online Robotics Learning: 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.<|reference_end|>
@article{shill2024wip:,
    title={WIP: A Unit Testing Framework for Self-Guided Personalized Online
  Robotics Learning},
    author={Ponkoj Chandra Shill, David Feil-Seifer, Jiullian-Lee Vargas Ruiz, Rui
  Wu},
    journal={arXiv preprint arXiv:2405.11130},
    year={2024},
    archivePrefix={arXiv},
    eprint={2405.11130},
    primaryClass={cs.RO cs.HC cs.SE}
}