Predicting student's dropout in university classes using two-layer ensemble machine learning approach: A novel stacked generalization.
Jovial NiyogisubizoLyuchao LiaoEric NziyumvaEvariste MurwanashyakaPierre Claver NshimyumukizaPublished in: Comput. Educ. Artif. Intell. (2022)
Keyphrases
- machine learning
- educational environment
- engineering students
- ensemble learning
- feature selection
- learning algorithm
- university level
- learning machines
- learning environment
- data mining
- neural network
- ensemble methods
- student learning
- multi layer
- faculty members
- inductive learning
- intelligent tutoring systems
- active learning
- e learning
- learning problems
- class labels
- training set
- semester long
- case study
- training data
- college level
- academic institutions
- text classification
- machine learning algorithms
- learning systems
- machine learning methods
- computer engineering
- computer science students
- higher education institutions
- school teachers
- undergraduate students
- decision trees
- classifier ensemble
- teaching methods
- hong kong
- information extraction
- online course
- natural language processing
- higher education