AI in Education needs interpretable machine learning: Lessons from Open Learner Modelling.
Cristina ConatiKaska Porayska-PomstaManolis MavrikisPublished in: CoRR (2018)
Keyphrases
- machine learning
- open learner modelling
- artificial intelligence
- artificial intelligence in education
- machine learning methods
- distance learning
- open learner models
- computational intelligence
- decision trees
- learning algorithm
- information and communication technologies
- st century
- knowledge representation
- educational data mining
- e learning
- learning systems
- lessons learned
- information extraction
- data mining
- feature selection
- teaching strategies
- ai systems
- web based learning
- educational technology
- expert systems
- ai researchers
- machine intelligence
- distance education
- knowledge acquisition
- text mining
- natural language processing
- case based reasoning