Text Mining of Open-Ended Questions in Self-Assessment of University Teachers: An LDA Topic Modeling Approach.
Diego Buenaño-FernándezMario GonzálezDavid GilSergio Luján-MoraPublished in: IEEE Access (2020)
Keyphrases
- topic modeling
- text mining
- open ended questions
- topic models
- latent dirichlet allocation
- e learning
- teaching methods
- text documents
- professional development
- learning environment
- information extraction
- text classification
- text analysis
- natural language processing
- information retrieval
- learning process
- latent topics
- text corpora
- named entities
- lda model
- latent semantic analysis
- educational technology
- probabilistic topic models
- multiple choice questions
- knowledge discovery
- blended learning
- high school
- latent variables
- collaborative filtering
- data analysis
- document clustering
- student learning
- hierarchical bayesian model
- teaching materials
- learning styles