This subtopic covers conceptual understanding of hardware and software sensors used to capture and contextualize learning event data including:
- Hardware Sensors: Physical sensors, such as biometric devices, eye trackers, and motion sensors, keyboards, or touch screens, collect event data on learners’ physiological and physical responses during the learning process.
- Software Sensors: Software sensors capture data such as clickstreams, time on task, quiz responses, and interaction sequences and apply contextual metadata.