Raza Hasan

TL;DR: This study aimed to predict student’s overall performance at the end of the semester using video learning analytics and data mining techniques and showed that Random Forest accurately predicted successful students at theend of the class with an accuracy of 88.3% with an equal width and information gain ratio.

TL;DR: Simulation results demonstrate that Random Forest Tree algorithm showed better accuracy than comparative decision tree algorithms, shows good agreement for the training set provided, and aid in improving student’s grades in the module.

TL;DR: Medical student motivation was observed to be the greatest in Virtual Reality settings as compared to video-based and text-based learning settings, and virtual reality was at the top in User experience, perceived competence, usefulness, and motivation for final year medical students.

TL;DR: In this paper, the integration of multimedia based teaching approach into a Calculus and Numerical Methods module impact on student's performance and their attitudes toward educational technology is examined, and empirical data will be collected from controlled and experimental group students enrolled into this mathematics module which include students engagement using traditional and multimedia technology teaching and learning process.

TL;DR: The goal of this research is to identify and propose low-cost, efficient and flexible platform which can assist in introducing the IoT paradigm in the teaching process, as considerably as to offer the Provision to fellow students about social behavior and fellow’s approachability by using Learning Management System (LMS).