The aim of this paper is to survey recent research publications that use Soft Computing
methods to answer education-related problems based on the analysis of educational data …

Student success is essential for improving the higher education system student outcome.
One way to measure student success is by predicting students' performance based on their …

Today, predictive analytics applications became an urgent desire in higher educational
institutions. Predictive analytics used advanced analytics that encompasses machine …

Formative feedback has long been recognised as an effective tool for student learning, and
researchers have investigated the subject for decades. However, the actual implementation …

Diagnosing diabetes early is critical as it helps patients live with the disease in a healthy
way–through healthy eating, taking appropriate medical doses, and making patients more …

As an important part of data mining, educational data mining (EDM) has played a significant
role in the field of education. This article reviews the development process of EDM …

This paper analyses the adoption of learning analytics to predict at-risk students. A total of
233 research articles between 2004 and 2023 were collected from Scopus for this study …

Blended learning is increasingly used in college teaching, and formative evaluation has
become the main method for assessing student performance. Based on the formative …

Sports performance prediction has gradually become a research hotspot in various colleges
and universities, and colleges and universities pay more and more attention to the …

Reviews given by students are an excellent source of information that can be used to
achieve the educational goal of any institution. The information collected can be used to …