Making Automatic Movement Features Extraction Suitable for Non-engineer Students.
Nicola CorbelliniGualtiero VolpePublished in: ICMI Companion (2021)
Keyphrases
- features extraction
- student learning
- learning experience
- learning environment
- wavelet transform
- e learning
- distance learning
- feature extraction
- automatic classification
- higher education
- character recognition
- high school students
- learning outcomes
- college students
- learning styles
- collaborative learning
- intelligent tutoring systems
- high school
- control group
- extracted features
- science education
- undergraduate students
- learning process