Rapidly Deployable Remote Analogue Electronics Lab with Antiplagiarism and AI Immunity Features

This paper documents the rapid establishment of an online analogue electronics remote lab, highlighting key lessons learned to facilitate future transitions from in-person to remote labs. To enable the swift rollout of the remote lab, existing in-person lab facilities were rapidly repurposed. The remote labs incorporated simple yet innovative methods to prevent plagiarism and misuse of AI, thereby ensuring academic integrity. This was achieved by assigning each student a unique analogue circuit with a measured response known only to the instructors. These analogue responses were highly distinct for each circuit, and it is demonstrated in this paper that plagiarised results could not be convincingly generated by several AI engines. The paper further emphasizes the critical collaboration between academics and technical staff, which enabled the efficient delegation of tasks and the effective implementation of the remote lab. This collaborative model ensured that all team members excelled in their respective areas of expertise, making the transition to remote labs both seamless and successful.