Improving the quality, developing and implementing systems that can provide advantages to
students, and predicting students' success during the term, at the end of the term, or in the …

To predict the class level of any classification problem, predictive models are used and
mostly a single predictive model is built to predict the class level of any classification …

Machine learning is emerging nowadays as an important tool for decision support in many
areas of research. In the field of education, both educational organizations and students are …

Predicting students' performance in advance could help assist the learning process; if “at-
risk” students can be identified early on, educators can provide them with the necessary …

Background and aim: In recent days, the research on student's intelligence level modelling
is a challenging Artificial Intelligence (AI) task, which gains more attraction because it …

Electronic Learning (e-learning) has made a great success and recently been estimated as
a billion-dollar industry. The users of e-learning acquire knowledge of diversified content …

Today, aircraft demand is exceeding the capacity of the Air Traffic Control (ATC) system. As
a result, airspace is becoming a very complex environment to control. The complexity of …

Sažetak Graduate students are unaware of their final qualification for a course. Even though
there were many models available, few works with feature selection and prediction with no …

Online learning has become a popular way of learning due to the rapid development of
informatization of education, the rise of online learning platforms has provided great …

Web-based learning technologies of educational institutions store a massive amount of
interaction data which can be helpful to predict students' performance through the aid of …