Integrating machine learning into item response theory for addressing the cold start problem in adaptive learning systems.
Konstantinos PliakosSeang-Hwane JooJung Yeon ParkFrederik CornillieCeline VensWim van den NoortgatePublished in: Comput. Educ. (2019)
Keyphrases
- cold start problem
- adaptive learning systems
- machine learning
- item response theory
- recommender systems
- intelligent educational systems
- data sparsity
- collaborative filtering
- cold start
- matrix factorization
- student model
- learning objects
- transfer learning
- machine learning algorithms
- personalized recommendation
- online learning
- text classification
- active learning
- learning systems
- text mining
- peer assessment
- supervised learning
- domain knowledge
- feature selection
- learning algorithm