The Covid-19 pandemic constrained higher education institutions to switch to online
teaching, which led to major changes in students' learning behavior, affecting their overall …

This research investigates the impact of machine learning on higher education teaching and
learning, as well as strategies for enhancing the learning environment. There has been a …

The outbreak of COVID-19 has caused significant disruption in all sectors and industries
around the world. To tackle the spread of the novel coronavirus, the learning process and …

Predicting students at risk of academic failure is valuable for higher education institutions to
improve student performance. During the pandemic, with the transition to compulsory …

As both localization and globalization continue to demand for knowledgeable and skilled
individuals, it is imperative that higher education institutions (HEIs) produce quality …

Educational institutions abruptly implemented online higher education to cope with sanitary
distance restrictions in 2020, causing an increment in student failure. This negative impact …

Lack of student persistence and retention is significantly hurting the US in producing the
required number of qualified graduates, especially in STEM fields. Although many factors …

This study investigates the effectiveness of machine learning and deep learning models for
early prediction of student performance in higher education institutions. Using the Open …

Many students have suffered from completing courses in several higher education institutes
since there is no devoted assistance for those who need exceptional help identifying the …

The outbreak of coronavirus disease 2019 (COVID-19) drives most higher education
systems in many countries to stop face-to-face learning. Accordingly, many universities …