Learning Management System based on Machine Learning: The Case Study of Ha'il University - KSA

Abstract

Online learning environments have become an established presence in higher education in the Kingdom of Saudi Arabia, especially with the expected of Covid-19 pandemic. At present, supporting e-learning with interactive virtual campuses is a future aim in education. In order to solve the problems of the interactivity and the adaptability of e-online learning systems in Saudi universities, this paper proposes a module, based on digital learning, and to be used in learning management systems to meet the challenges a future goal in e-online learning. The e-learning system should be intelligent and has the possibility to inspire the specific characteristics (i.e., metadata) of a student used to access to their social media profiles.

A Literature Review on Intelligent Services Applied to Distance Learning

“…Hashim et al [54] SCOPUS Student performance prediction model based on supervised machine learning algorithms (decision tree, Naïve Bayes, logistic regression, support vector machine, K-nearest neighbor, and minimal and neural sequential optimization Network). Maâloul and Bahou [55] SCOPUS…”

“…Maâloul and Bahou [55] proposed a recommendation system that is fundamentally based on a digital learning technique (that is, semisupervised learning) and that determines the degree of similarity between the students, to recommend the items corresponding to the interest of the student. The system aims to process student profiles from the elearning platform.…”

A Literature Review on Intelligent Services Applied to Distance Learning

“…Maâloul and Bahou [50] proposed a recommendation system that is fundamentally based on a digital learning technique (that is, semi-supervised learning) and that determines the degree of similarity between the students, to recommend the items corresponding to the interest of the student. The system aims to process student profiles from the e-learning platform.…”

“…Maâloul and Bahou [50] Recommendation system based on machine learning that is fundamentally based on a digital learning technique and that determines the degree of similarity between students.…”

“…32 Maâloul and Bahou[50] SCOPUSRecommendation system based on machine learning that is fundamentally based on a digital learning technique (ie, semi-supervised learning) and that determines the degree of similarity between students.33 Freitas et al [51] SCOPUS IoT system for predicting school dropout using machine learning techniques based on socioeconomic data. 34 Villegas-Ch et al [52] SCOPUS Integration of technologies, with artificial intelligence (AI) and data analysis, with learning management systems to improve learning.…”