TEACHActive is an automated feedback dashboard that provides instructors with visual classroom analytics about the active learning facilitation strategies they use in their classrooms. We describe TEACHActive system's root requirement of improving pedagogical practices through refection, the system's process of data fow from an automated observation system, EduSense, to the feedback dashboard, and the technical design of the infrastructure. We designed the TEACHActive dashboard to visualize EduSense's automated observation output and give instructors feedback about their active learning facilitation strategies in their classrooms with the goal of improving their pedagogical practices. We present the TEACHActive prototype development process with three illustrative prototypes. CCS CONCEPTS• Applied computing → Interactive learning environments; • Human-centered computing → Interaction design; Interaction design process and methods; User centered design.

Computer vision has the potential to play a significant role in capacity building for classroom instructors via automated feedback. This paper describes the implementation of an automated sensing and feedback system, TEACHActive. The results of this paper can enable other campuses to replicate a similar system using open-source software and consumer-grade hardware. Some of the challenges discussed include faculty recruitment, IRB procedures, camera-based classroom footage privacy, hardware setup, software setup, and IT support. The design and implementation of the TEACHActive system is being carried out at Iowa State University and is being tested with faculty in classrooms pilots. Preliminary interviews with instructors show a desire to include more active learning methods in their classrooms and overall interest in a system that can perform automated feedback. The primary results of this paper include lessons learned from the institutional implementation process.