Predicting Students' Performance With School and Family Tutoring Using Generative Adversarial Network-Based Deep Support Vector Machine.
Kwok Tai ChuiRyan Wen LiuMingbo ZhaoPatricia Ordóñez de PablosPublished in: IEEE Access (2020)
Keyphrases
- intelligent tutoring systems
- tutoring system
- support vector machine
- high school
- secondary school
- intelligent tutoring
- formal education
- primary school
- middle school
- mathematics learning
- high school students
- applied sciences
- learning opportunities
- science education
- computing education
- meta cognitive
- student learning
- life long learning
- elementary school
- peer tutoring
- computer usage
- middle school mathematics
- school education
- model tracing
- college students
- special education
- higher education
- computer assisted instruction
- learning activities
- distance learning
- learning environment
- science curriculum
- fourth grade
- sixth graders
- grade students
- e learning
- learning process
- collaborative learning
- learning styles
- learning gains
- learning experience
- machine learning
- engaging students
- support vector
- sixth grade
- school district
- generative model
- learning outcomes
- classroom learning
- statistically significant
- lesson plans
- classroom practice
- authoring tool
- online course
- programming course
- helping students
- digital games
- teacher training
- technology integration