A Low-Cost Scalable Solution for Monitoring Affective State of Students in E-learning Environment Using Mouse and Keystroke Data.
Po-Ming LeeWei-Hsuan TsuiTzu-Chien HsiaoPublished in: ITS (2012)
Keyphrases
- low cost
- e learning
- real time
- learning environment
- image data
- high dimensional data
- knowledge discovery
- high quality
- affective states
- data points
- intelligent tutoring systems
- autonomous agents
- sensor data
- human computer interaction
- educational environment
- open ended
- video data
- learning process
- learning activities
- multi agent
- multi agent systems
- high dimensional
- end users
- low level