Conference PaperPDF Available

Adult Education and E-Learning

Authors:

Abstract

Adult Education and E-Learning in the 21st Century
Scanned by CamScanner
Scanned by CamScanner
Scanned by CamScanner
Scanned by CamScanner
Scanned by CamScanner
Scanned by CamScanner
Scanned by CamScanner
Scanned by CamScanner
... Higher education is a vital constituent for the progress of a country. Higher education is particularly important for developing countries like Saudi Arabia (Singh et al., 2011a). In 1932, when the Kingdom was established, Saudi Arabia had no university. ...
Article
Full-text available
Student dropout and its economic and social consequences are significant issues in developing countries. Students who drop out experience reduced employment prospects and encounter social stigma. While early dropout prediction can assist in mitigating the consequences, it remains a considerable challenge. The present research employed a data mining approach to predict dropout of public health master-level students in Saudi Arabia, a developing nation that has invested considerable resources to promote higher education. The research model focused on three fundamental determinants of students’ dropout: individual, institutional, and academic. The study analysis on a dataset of 150 students revealed that all three determinants predicted student dropout. The results indicated that students with low academic performance who received an academic warning were likelier to drop out. Freshmen with poor academic achievement were particularly at risk of dropping out of college. Students between 31 and 36 years old who attended technical courses as a subject specialization could also dropout. The research contributes to the literature by suggesting that universities should consider these individual, institutional, and academic determinants to develop their dropout prevention strategies. This study has ramifications for university administrators in developing nations, such as Saudi Arabia, who can establish dropout prevention programs based on the determinants revealed in this study.
... Learning agility in a technological environment is defined as the student's ability to learn, adapt, and orient toward new technologies (De Meuse et al., 2010). Learning agility is considered an essential skill for young learners to seek jobs in today's technology-driven marketplace (Hwangbo et al., 2019;Singh et al., 2011b). Learning agility allows students to learn technology-related skills in an educational environment and later apply the skills they learned in their work environment (Singh et al., 2011c;Dries et al., 2012). ...
Article
Full-text available
Multimedia technology is argued in the literature to play a critical role in enhancing students' learning agility and creativity. Nevertheless, only a few studies have empirically investigated the same, particularly among university students. This is especially vital for Saudi Arabia's higher education sector, where significant resources have been invested under the Vision 2030 program. Recently, multimedia technology has included upcoming technologies such as artificial intelligence, augmented reality, and virtual reality. This study empirically investigates the impact of multimedia technology on the development of university students' learning agility and creativity. In this study, we employed a quantitative methodology. We surveyed 318 university students to accomplish the research objectives. The study's findings underscore that availableness and multimedia technology deployment are vital to developing university students' learning agility and creativity. The study contributes to the literature regarding technology adoption and skill enhancement. Additionally, the findings of the study aid in the achievement of Saudi Vision 2030 by increasing awareness of multimedia technology use to foster university students learning agility and creativity.
ResearchGate has not been able to resolve any references for this publication.