Forecasting students' future academic records using Bayesian network.
Hirotaka ItohYuma ItohKenji FunahashiDaisuke YamamotoShoichi SaitoHiroshi MatsuoIchi TakumiPublished in: SCIS&ISIS (2014)
Keyphrases
- bayesian networks
- computer engineering
- learning experience
- student learning
- learning environment
- information literacy
- short term
- computer science education
- student modeling
- intelligent tutoring systems
- learning outcomes
- historical information
- long term
- high school students
- undergraduate students
- distance education
- faculty members
- e learning
- higher education
- collaborative learning
- learning process
- post secondary
- distance learning
- learning styles
- learning activities
- special education
- national science foundation
- programming course
- cooperative learning
- online environment
- undergraduate engineering
- probabilistic model
- high school
- online course
- tutoring system
- conditional independence
- graphical models
- computer supported collaborative learning
- learning bayesian networks
- problem based learning
- elementary school
- grounded theory
- hong kong
- electrical engineering
- graduate students
- control group
- record linkage
- probabilistic inference
- science education
- statistically significant
- college students
- structure learning
- career development
- mobile devices
- databases