Augmented Reality Enhanced Analytics to Measure and Mitigate Disengagement in Teaching Young Children

Manjeet Singh, Shaun Bangay, Atul Sajjanhar

Abstract: The research identifies novel AR-based metrics to address disengagment in young children during learning in class-rooms and to provide better insights to teachers to make learning by AR more engaging, fun and stimulating. Util-ising AR applications and mobile devices to measure and mitigate students' disenagagement in their learning, studying how novel AR-based metrics can be analysed and contribute to better understand disengagement amongst young children during learning. Two research goals have been de-fined to guide this research to investigate the use of AR enhanced analytics to address disengagement in young chil-dren. Key contributions of this research include: 1) Capture of data from device sensors, user interactions and learning outcomes within the augmented reality experience., and 2) Deriving metrics from this sensory data to provide five cat-egories of AR Enhanced Analytics (AREA) measures rep-resenting the quality of the learning experience; namely (a) Learning Analytics, (b) Interaction Analytics, (c) Spatial Analytics, (d) Sensory Analytics and (d) Emotion Analyt-ics. The novel metrics will be validated for detailed and relevant sensing of the learning environmental and student behavioural stimuli including; a) position/location, b) time duration, c) interaction / engagement with virtual assets, d) experience recall, e) sentiments (audio and video), biometric (temperature, heart beat) and f) movements (using device sensors such as accelerometer, gyroscope and magnetome-ter, and through feature points tracked visually). AR-based metrics can be visualised and presented to support teachers in managing their classrooms and their teaching practice to address factors as associated with student disengagement.