学生使用学习管理系统的学习体验:用户对约旦大学使用 Moodle 的看法

IF 2.3 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Ahmad Althunibat, W. Alzyadat, Ibrahim Almarashdeh, M. Alsmadi, Aoun Othman Al Shawabkeh, A. Abuhamdah, M. Alzaqebah
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引用次数: 0

摘要

本研究旨在评估 Moodle LMS 作为一种替代教育交付模式的有效性,尤其是在约旦高等教育系统中的有效性,此前尚未对其进行过评估。研究以摩尔的事务性远程学习理论为基础,该理论考虑了学生、教师和课程材料之间的互动以及学生的个人特点。这项研究包括 50 名曾在约旦大学 Moodle LMS 上学习过课程的参与者。通过访谈和研究调查,收集了参与者对 Moodle LMS 的深入看法和经验分析。研究结果表明,在 COVID-19 大流行期间,Moodle LMS 是一种有效的替代学习工具,用户友好的课程设计增强了用户使用 Moodle LMS 的体验。与会者还提出了优化系统的建议,以便更好地整合到约旦大学中。根据研究参与者的建议修复 Moodle LMS 系统将极大地改善学生的学习体验。本研究通过评估Moodle LMS在约旦高等教育系统中的有效性并提出改进建议,为提高技术水平做出了贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Learning Experience of Students Using the Learning Management System: User’s Perspective on the Use of Moodle in the University of Jordan
This study aimed to evaluate the effectiveness of Moodle LMS as an alternative delivery mode for education, particularly in the higher education system of Jordan, which has not been evaluated before. The research is based on Moore’s transactional distance learning theory, which considers interactions among students, instructors, and course material, as well as personal characteristics of students. The study included 50 participants who have taken courses on Moodle LMS at the University of Jordan. Both interviews and research surveys were conducted to gather in-depth perceptions and analysis of the participants’ experiences with Moodle LMS. The findings suggest that Moodle LMS was an effective alternative study tool during the COVID-19 pandemic and the user-friendly course design enhanced the user experience of using Moodle LMS. Participants also provided suggestions to optimize the system for better integration in the University of Jordan. Fixing Moodle LMS based on the recommendations of the study participants will significantly improve the learning experience of students. This study contributes to the advancement of the state of the art by evaluating the effectiveness of Moodle LMS in the higher education system of Jordan and providing recommendations for improvement.
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来源期刊
Advances in Human-Computer Interaction
Advances in Human-Computer Interaction COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-
CiteScore
6.30
自引率
3.40%
发文量
22
审稿时长
36 weeks
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