A Study on Educational Research of Artificial Neural Networks in the Jordanian Perspective Abstract

Abstract

This study aims to investigate the effect of artificial neural network (ANN) systems and learning management systems (LMS) on the educational quality of Jordanian universities. The current study also investigates the moderating impacts of instructors' talents on the nexus of artificial neural network systems, learning management systems, and the educational quality of Jordanian institutions. Additionally, the study collected data via survey questionnaires and distributed it via personal visits. The researchers surveyed students and faculty members at Jordan's private universities. Additionally, the article used the smart-PLS to examine the reliability of variables, the validity of items, and the nexus of association between constructs. The findings indicated a significant correlation between artificial neural network systems and learning management systems and the educational quality of Jordanian universities. Additionally, the results suggested that teachers' abilities considerably affect the relationship between the ANN system, the learning management system, and the educational quality of Jordanian universities. This page serves as a guide for regulators as they develop rules to boost the educational quality of Jordan's institutions.