Analysing University at-Risk Students in a Virtual Learning Environment using Machine Learning Algorithms.

Deshalin Naidoo Timothy T. Adeliyi

Published in: ICTAS (2023)

Keyphrases

machine learning algorithms
university level
benchmark data sets
e learning
engineering students
machine learning
learning algorithm
decision trees
educational environment
virtual learning environments
open university
machine learning methods
applied sciences

predictive accuracy
teaching methods
engineering education
higher education
student learning
learning problems
state university
graduate school
students studying
machine learning approaches
learning experience
computer science courses
semester long

learning tasks
random forests
electrical engineering
learning activities
undergraduate students
machine learning systems
learning environment
learning process
faculty members
student groups
high school
distance learning
machine learning models

collaborative learning
hong kong
learning styles
standard machine learning algorithms
college students
learning models
learning outcomes
blended learning
undergraduate and graduate
learning materials
domain specific
feature selection
real world