Bayesian Network for Predicting Students' Final Grade Using e-Book Logs in University Education.
Kousuke MouriFumiya OkuboAtsushi ShimadaHiroaki OgataPublished in: ICALT (2016)
Keyphrases
- undergraduate and graduate
- graduate school
- postgraduate students
- university level
- bayesian networks
- e learning
- engineering education
- electrical engineering
- european higher education
- undergraduate students
- educational environment
- open university
- computer literacy
- computer science and engineering
- graduate students
- library and information science
- distance learning
- computer science
- teaching methods
- computer engineering
- higher education
- post secondary
- students studying
- grade level
- web based learning
- faculty members
- distance education
- computer science education
- learning experience
- higher education institutions
- public schools
- academic institutions
- young researchers
- mid term
- education programs
- mobile learning
- engineering students
- web based courses
- undergraduate engineering
- educational institutions
- hong kong
- researchers and practitioners
- learning environment
- attitudes toward
- instructional technology
- information literacy
- young students
- computer skills
- learning styles
- educational process
- state university
- high school