Recent advancements in the collection and analysis of sequential educational data have
brought time series analysis to a pivotal position in educational research, highlighting its …

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 …

Recently, machine learning technology has been involved successfully in our life in an
extreme manner in various domains. In this paper, we investigate the machine learning …

This full paper presents results of a model developed using early assessment tasks as
predictors to identify at-risk students. To date several studies have been conducted to …

Over the past 10 years, every learner's ability to achieve the highest level of learning
success has become quite an important topic. The Universal Design for Learning (UDL) sets …

Today that collecting data has been easy more than ever in almost all aspects of life, but the
collected data is of no use if it can't be efficiently utilised for the betterment of the society …

In recent years, the field of learning analytics has gained significant attention as educators
and researchers seek to understand and optimize the learning process in online learning …

A major problem that the Higher Education Institutions (HEIs) face is the misconduct of
students' behavior. The objective of this study is to decrease these misconducts by …

Student's performance is a major problem for the society. Rapid growth of technologies and
the application of differentmachine learning methodsin present years, the development of …

This study investigates the relationship between the Big Five personality traits, major
identity, self-esteem, and academic outcomes in education. It uses clustering techniques to …