Fine-grained affect detection in learners' generated content using machine learning.
Emmanuel Awuni KologSamuel Nii Odoi DevineKwame Ansong-GyimahRichard Osei AgjeiPublished in: Educ. Inf. Technol. (2019)
Keyphrases
- fine grained
- machine learning
- coarse grained
- affect detection
- open ended
- access control
- learning environment
- decision trees
- user intent
- learning styles
- e learning
- multimedia
- text mining
- social context
- data lineage
- natural environment
- learning outcomes
- wordnet
- text classification
- collaborative learning
- information extraction
- multi agent