WIP: A Unit Testing Framework for Self-Guided Personalized Online Robotics Learning
This innovative practice WIP paper describes our ongoing development and deployment of an online robotics education platform that highlighted a gap in providing an interactive, feedback-rich learning environment essential for mastering pro-gramming 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 integrate such automated feedback, 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 updated course workflow, which includes 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.
Authors
- Ponkoj Chandra Shill
- David Feil-Seifer (ORCID: https://orcid.org/0000-0002-5502-7513)
- Rui Wu (ORCID: https://orcid.org/0000-0001-6134-5393)
- Jiullian-Lee Vargas Ruiz
Institutions
- University of Nevada, Reno (US)
- East Carolina University (US)
- University of Puerto Rico at Arecibo (PR)
Publication Details
- Published
- 2024-10-13
- DOI
- https://doi.org/10.1109/fie61694.2024.10893417
- Primary Topic
- Teaching and Learning Programming
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Science Foundation