Discovering the Academic Situation of Students by Relationship Mining.
Haiyang XiaJiaxin HanJie KongWenjuan WeiLei ZhangPublished in: ES (2016)
Keyphrases
- student learning
- learning experience
- learning activities
- computer engineering
- high school
- researchers and practitioners interested
- distance learning
- information literacy
- computer science education
- undergraduate engineering
- high school students
- learning environment
- e learning
- undergraduate students
- discovery process
- college students
- special education
- learning outcomes
- intelligent tutoring systems
- online environment
- data mining
- sequential patterns
- discover hidden
- electrical engineering
- automatically extracting
- university students
- elementary school
- spatial co location patterns
- learning process
- multi relational
- problem based learning
- text mining
- online course
- distance education
- higher education
- university level
- knowledge discovery
- design studio
- national science foundation
- collaborative learning
- learning styles
- computer programming
- mining algorithm
- location prediction
- frequent itemsets
- data mining techniques
- secondary school
- teaching methods
- science education