Identifying Students' Mechanistic Explanations in Textual Responses to Science Questions with Association Rule Mining.
Yu GuoWanli XingHee-Sun LeePublished in: ICDM Workshops (2015)
Keyphrases
- association rule mining
- open ended questions
- science classroom
- subject matter
- association rules
- data mining
- student responses
- epistemological beliefs
- generating explanations
- science learning
- data mining techniques
- mining algorithm
- science education
- multiple choice questions
- itemsets
- conceptual understanding
- middle school
- pattern discovery
- student learning
- association mining
- knowledge discovery
- engineering courses
- follow up questions
- association rule discovery
- association rule mining algorithm
- learning environment
- frequent itemset mining
- high school
- high school students
- frequent itemsets
- elementary school
- apriori algorithm
- interactive question answering
- frequent subtree mining
- associative classification
- discovered association rules
- rule mining
- association rule mining algorithms
- databases
- interestingness measures
- classification rule mining
- data sets
- web pages
- e learning
- weighted association rule mining
- discovered knowledge
- interesting rules
- mining association rules