自己主導型パーソナライズドオンラインロボティクス学習のための単体テストフレームワーク
WIP: A Unit Testing Framework for Self-Guided Personalized Online Robotics Learning
オンラインロボティクス教育に単体テストを導入し、学生がリアルタイムでフィードバックを得て自立的にプログラミングを学習できるシステムを開発した。
著者: Ponkoj Chandra Shill, David Feil-Seifer, Jiullian-Lee Vargas Ruiz, Rui Wu
分類: cs.RO, cs.HC, cs.SE
原文アブストラクト
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.
