Detecting students at risk using machine learning: applications to business education.
Owen P. Hall Jr.Published in: Int. J. Soc. Media Interact. Learn. Environ. (2022)
Keyphrases
- machine learning
- educational data mining
- university level
- distance learning
- higher education
- distance education
- young students
- e learning
- decision making
- learning analytics
- mobile learning
- european higher education
- business management
- educational environment
- business schools
- education programs
- graduate school
- educational institutions
- secondary school
- deaf students
- engineering education
- data mining
- elementary school
- educational systems
- formal education
- problem based learning
- special education
- undergraduate and graduate
- learning sciences
- computing education
- information literacy
- classroom teaching
- computer science education
- learning styles
- learning environment
- learning community
- learning experience
- educational software
- web based learning
- role play
- learning activities
- blended learning
- junior high school
- virtual laboratories
- teacher education
- project based learning
- teaching methods
- educational experiences
- learning outcomes
- mobile technologies
- hong kong
- educational process
- lifelong learning
- design studio
- online learning
- ethical issues
- active participation
- virtual learning environments
- primary school
- high school students
- teacher training
- risk management
- online course
- learning process
- student learning
- computer science
- mathematics education
- collaborative learning
- high school
- educational technology
- tablet pc
- knowledge society
- technical skills
- communication skills
- learning tools
- control group
- science education
- school education
- intelligent tutoring systems
- lesson plans
- learning platforms
- information technology
- remote laboratories