Investigating Student Satisfaction and Adoption of Technology-Enhanced Learning to Improve Educational Outcomes in Saudi Higher Education

Author:

Alyoussef Ibrahim Youssef1ORCID,Omer Omer Musa Alhassan1

Affiliation:

1. Education Technology, Faculty of Education, King Faisal University, Al-Ahsa 31982, Saudi Arabia

Abstract

The current tendency in education is to deliver high-quality instruction with the use of technology in order to increase students’ global competitiveness. Currently, few empirical studies in the literature examine the significance and implications of technology-enhanced learning (TEL) in Saudi higher education. Therefore, the current study aims to develop a new model by examining the impact of a number of variables, including students’ perceived support, virtual social skills, subjective norms, information quality, subjective interest, and resource availability, on students’ self-efficacy and students’ perceived benefits of TEL enrolled in various public and private educational institutions in Saudi Arabia. The method is based on partial least squares structural equation modeling (PLS-SEM). A survey question on the idea of students’ self-efficacy and students’ perceived benefits of TEL was used as the main method of data collection, and 274 valid responses from undergraduate and graduate students at King Faisal University, particularly those who have been using TEL for at least a year, were obtained. The results of the student self-efficacy survey show that TEL adoption and student satisfaction are both positively impacted. The finding of this study was that all of the TEL characteristics were significantly and favorably mediated by perceptions of the TEL benefits. Student satisfaction is influenced by students’ perceptions of support, virtual social skills, subjective norms, informational quality, subjective interest, resource accessibility, and TEL uptake by students.

Funder

Deanship of Scientific Research, Vice Presidency for Graduate Studies and Scientific Research, King Faisal University, Saudi Arabia

Publisher

MDPI AG

Subject

Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3