Quality Function Deployment Approach to Optimize E-learning Adoption among Lecturers in Universitas Indonesia

Dilla Aulia Winarno, E. Muslim, M. Rafi, Alga Rosetta
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引用次数: 5

Abstract

Along with the development of information system technology in the 21st century, the world has faced Industrial Revolution 4.0, this enhance transformation impacted all industries, including Education to create a new ecosystem named Education 4.0. This utilizes Electronic learning (E-learning) and many high institutions applied the E-learning system in their education scheme, but the level usage of e-learning is relatively low because of the lack of intention from lecturers as the user. This paper analyzed the factors that influence continuous intention in using e-learning with combined models; TAM (Technology Acceptance Model), TPB (Theory of Planned Behavior), ECM (Expectation Confirmation Model), and Flow Theory, and the results are continuance intention was associated with attitude, perceived enjoyment, perceived usefulness, satisfaction, confirmation, and perceived ease of use. Based on these factors, the researchers created and prioritized the strategies using Quality Function Deployment and concluded the improvements to increase the intention are training e-learning systems to users, add new interactive features, and enhancement in the e-learning interface.
质量功能部署方法优化印尼大学讲师采用电子学习
随着21世纪信息系统技术的发展,世界面临着工业革命4.0,这种增强变革影响了包括教育在内的所有行业,创造了一个名为教育4.0的新生态系统。这利用了电子学习(E-learning),许多高等院校在他们的教育方案中应用了E-learning系统,但由于讲师作为用户缺乏意愿,E-learning的使用水平相对较低。本文运用组合模型分析了影响在线学习持续意向的因素;技术接受模型(TAM)、计划行为理论(TPB)、期望确认模型(ECM)和流程理论(Flow Theory)的研究结果表明,持续意愿与态度、感知享受、感知有用性、满意度、确认和感知易用性相关。基于这些因素,研究人员使用质量功能部署创建了策略并对其进行了优先级排序,并得出结论,提高意图的改进是向用户培训电子学习系统,添加新的交互功能,以及增强电子学习界面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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