Application of Open-Hardware-Based Solutions for Rapid Transition From Stationary to the Remote Teaching Model During Pandemic
While research indicates usefulness of remote laboratories in teaching of digital hardware systems, their main application is to complement stationary classes. This work presents a low-cost, scalable architecture that supports rapid transformation of teaching to a model based solely on remote access mechanisms. Adaptation of online laboratory solutions from the literature to en-masse teaching of digital circuits is time-consuming and expensive. Solutions that permit cheap and rapid conversion of courses to remote environments seem to be of high value, especially when social distancing renders direct teaching impossible. Demonstration of a flexible and cheap architecture that permits rapid transformation of digital circuits laboratories to the remote environment. Validation of system's performance and usefulness on a large group of students. Remote digital circuits laboratories from the literature are designed to complement stationary classes. For successful teaching during pandemic, a low-cost, flexible, and efficient solution to online laboratory based on commonly available technologies is required. The proposed remote laboratory architecture enables rapid conversion of on-site teaching to online model, while supporting upgrades and functionality enhancements. The presented solution proved to be a convenient substitute for conventional laboratories during pandemic.
Integrating Model-Based Approaches into a Neuroscience Curriculum-An Interdisciplinary Neuroscience Course in Engineering
This paper demonstrates curricular modules that incorporate engineering model-based approaches, including concepts related to circuits, systems, modeling, electrophysiology, programming, and software tutorials that enhance learning in undergraduate neuroscience courses. These modules can also be integrated into other neuroscience courses.