The ability to predict student performance in a course or program creates opportunities to
improve educational outcomes. With effective performance prediction approaches …

The explosive growth of online education environments is generating a massive volume of
data, specially in text format from forums, chats, social networks, assessments, essays …

Student performance prediction (SPP) aims to evaluate the grade that a student will reach
before enrolling in a course or taking an exam. This prediction problem is a kernel task …

In the world of Massive Open Online Course (MOOC) and open education systems, students
have flexibility to learn anything with ease as the learning content is easily available. But this …

In this systematic literature review, automatic text-based and easy type assessment grading
system using Machine Learning and Natural Language Processing (NLP) techniques was …

We present a survey on the current status of education analytics. Over 80 state-of-the-art
research projects and reports, published from 2013 to 2017 and archived in IEEE Xplore …

A scientific and rational evaluation of teaching is essential for personalized learning. In the
current teaching assessment model that solely relies on Grade Point Average (GPA) …

With the increasing diversity of learners, forming suitable learning groups, in collaborative
learning, represents a complex and a time-consuming task. Several researchers focus on …

With the new era in information technology, Educational Informationization not only
profoundly affects the modern education paradigm, but also provides strong technological …

A neural network model can be used effectively in predicting training accuracy using
machine learning. Based on the comparison of forward and backward neural networks …