Considering the increasing importance of Artificial Intelligence in Education (AIEd) and the
absence of a comprehensive review on it, this research aims to conduct a comprehensive …

The potential influence of data mining analytics on the students' learning processes and
outcomes has been realized in higher education. Hence, a comprehensive review of …

Recent increase in the availability of learning data has given educational data mining an
importance and momentum, in order to better understand and optimize the learning process …

Student dropout is a serious problem globally. It affects not only the individual who drops out
but also the former school, family, and society in general. With the current development of …

E-learning is achieved by the deep integration of modern education and information
technology, and plays an important role in promoting educational equity. With the …

The use of artificial intelligence and machine learning techniques across all disciplines has
exploded in the past few years, with the ever-growing size of data and the changing needs …

Online education has been facing difficulty in predicting the academic performance of
students due to the lack of usage of learning process, summative data and a precise …

Educational institutions are increasingly turning to learning analytics to identify and
intervene with students at risk of underperformance or discontinuation. However, the extent …

E-learning systems generate huge amounts of data, whose analysis may become a
daunting task which makes it necessary to use computational analytical techniques and …

Online learning has become more popular in higher education since it adds convenience
and flexibility to students' schedule. But, it has faced difficulties in the retention of the …