Predicting Students' Academic Performance Based on Improved PSO-Xgboost: A Campus Behavior Perspective.
Zhongyu LiangXiaoqiang DiZhen LiuXu LiuXingxu ZhangZhi YuPublished in: ICA3PP (1) (2021)
Keyphrases
- online course
- particle swarm optimization pso
- computer science education
- particle swarm optimization
- higher education
- learning environment
- learning styles
- learning activities
- learning experience
- e learning
- faculty members
- information literacy
- multiple perspectives
- high school students
- student learning
- computer engineering
- high school
- undergraduate students
- online learning
- learning outcomes
- particle swarm optimizer
- intelligent tutoring systems
- science education
- special education
- improved algorithm
- college students
- affective states
- convergence speed
- secondary school
- grounded theory
- post secondary
- electrical engineering
- optimization algorithm
- computer mediated
- genetic algorithm ga
- blended learning
- learning process
- mobile learning
- statistically significant
- distance learning
- hong kong
- hybrid algorithm
- state university
- university level
- differential evolution
- collaborative learning
- pso algorithm
- distance education
- educational institutions
- learning community
- university students
- particle swarm optimization algorithm
- particle swarm