Predicting students' performance is one of the most important topics for learning contexts
such as schools and universities, since it helps to design effective mechanisms that improve …

This chapter looks into examining research studies of the last five years and presents the
state of the art of Learning Analytics (LA) in the Higher Education (HE) arena. Therefore, we …

Decisions made at the strategic level of Higher Educational Institutions (HEIs) affect policies,
strategies, and actions that the institutions make as a whole. Decision's structures at HEIs …

Decisions made by deans and university managers greatly impact the entire academic
community as well as society as a whole. In this paper, we present survey results on which …

Purpose Student attritions in tertiary educational institutes may play a significant role to
achieve core values leading towards strategic mission and financial well-being. Analysis of …

Learning outcomes can be predicted with machine learning algorithms that assess students'
online behavior data. However, there have been few generalized predictive models for a …

Open Access proceedings Journal of Physics: Conference series Page 1 IOP Conference
Series: Materials Science and Engineering PAPER • OPEN ACCESS Students’ Performance …

The problem of predicting students' performance has been recently tackled by using matrix
factorization, a popular method applied for collaborative filtering based recommender …

Featured Application Improved training of engineers in the industrial branch and instruction
of students in fluid simulation tools. Abstract Simulation activities are a useful tool to improve …

For scholarly organizations, students' academic performance (AP) computes student
achievements in different academic subjects. Therefore, a systematic literature review based …