Using Machine Learning to Train a Wearable Device for Measuring Students' Cognitive Load during Problem-Solving Activities Based on Electrodermal Activity, Body Temperature, and Heart Rate: Development of a Cognitive Load Tracker for Both Personal and Classroom Use.
William L. RomineNoah L. SchroederJosephine GraftFan YangReza SadeghiMahdieh ZabihimayvanDipesh KadariyaTanvi BanerjeePublished in: Sensors (2020)
Keyphrases
- cognitive load
- physical activity
- heart rate
- skill acquisition
- machine learning
- learning outcomes
- computer literacy
- tablet pc
- working memory
- wearable sensors
- collaborative learning
- learning activities
- blood pressure
- learning environment
- activity recognition
- information processing
- individual differences
- student learning
- heart rate variability
- pilot study
- health related
- cognitive load theory
- critical thinking skills
- cooperative learning
- secondary school
- learning gains
- ambient assisted living
- daily life
- learning processes
- educational process
- middle school
- critical thinking
- student engagement
- learning community
- learning styles
- online learning
- learning process
- reinforcement learning
- e learning