Toward Instrumenting Makerspaces: Using Motion Sensors to Capture Students' Affective States in Open-Ended Learning Environments.
Lucia RamirezWilliam YaoEdwin ChngIulian RaduBertrand SchneiderPublished in: EDM (2019)
Keyphrases
- open ended
- learning outcomes
- affective states
- affect detection
- learning environment
- inquiry learning
- learning processes
- intelligent tutoring systems
- learning experience
- tutoring system
- image sequences
- collaborative learning
- mental states
- learning process
- affect sensing
- learning styles
- learning activities
- human motion
- sensor data
- e learning
- learning community
- pedagogical agents
- physiological signals
- learning resources
- human subjects
- multi modal
- ground truth