Classification of Students' Conceptual Understanding in STEM Education using Their Visual Attention Distributions: A Comparison of Three Machine-Learning Approaches.
Stefan KüchemannPascal KleinSebastian BeckerNiharika KumariJochen KuhnPublished in: CSEDU (1) (2020)
Keyphrases
- machine learning approaches
- conceptual understanding
- visual attention
- machine learning methods
- grade students
- science education
- high school students
- high school
- machine learning algorithms
- machine learning
- eye movements
- eye tracking
- conceptual change
- elementary school
- e learning
- distance learning
- higher education
- distance education
- saliency map
- vision system
- hong kong
- digital games
- knowledge building
- higher level
- learning community
- mobile learning
- learning process
- online learning
- real time
- science learning
- learning experience
- teaching methods
- computer vision
- decision trees
- student learning
- collaborative learning
- college students
- mental models
- pilot study
- computer assisted
- learning algorithm
- low level