Early indications regarding students' progress help academics to optimise their learning
strategies and focus on diverse educational practices to make the learning experience …

The introduction of the Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning
(ML), Deep Learning (DL), and Big Data have paved the way for research focused on …

Prediction of academic performance of students beforehand provides scope to universities
to lower their dropout rate and help the students in improving their performance. In this field …

This paper is about how the application of machine Learning have huge impact in teaching
and learning for further improvement in learning environment in higher education. Due to the …

There are many supervised and unsupervised types of machine learning approaches that
are used to extract hidden information and relationship between data, which will eventually …

Education is a prerequisite for a prosperous and good life, and it also helps in enhancing
people's lives with meaning and excellence. Furthermore, education is viewed as a …

During the pandemic time, most students are learning in online mode without any physical
interaction with a trainer. In this pandemic time, in the absence of physical interaction with …

Near accurate prediction of students' future performance based on their historical academic
records is important for effective pedagogical interventions. It is imperative to provide an …

Educational Institutions face numerous challenges today in providing quality and student-
centric education to students. Despite the huge volume of data available with educational …

Student's performance is a success factor in higher education institutions. The excellent
record of academic achievements raises the institution's ranking as one of the criteria for a …