在线教育模块中评估学生对系统思维概念的学习

Alara Bedir, Rahi Desai, N. Kulkarni, Kayla Wallet, Ryan Wells, Michael Smith
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引用次数: 4

摘要

高等教育机构是由院系、专业、专业和课程组成的相互联系的庞大网络,近年来基于技术的学习的快速增长和可用性只会增加其复杂性。在当今数据驱动的世界中,对于所有学科的大学生来说,理解“系统思维”的基本概念以及如何将系统思维策略应用于他们在职业生涯中遇到的几乎任何问题都是至关重要的。虽然在复杂的高等教育网络中,向学生提供这些信息是一种简单的传播内容的方法,但这样做的决定可能会以学生对材料的理解为代价。因此,本文旨在评估在线模块在向工程师和非工程师介绍系统思维概念方面的有效性。为了进行这项研究,我们对现有的在线教育平台进行了差距分析,从而选择Thinkific作为最有效的大规模开放在线课程(MOOC)平台,通过该平台传播我们的在线模块内容。Thinkific开放访问,并允许通过互联网进行互动参与。一个简短的在线模块在Thinkific中使用人类设计原则和用户测试开发和验证。模块设计完成后,弗吉尼亚大学艺术与科学学院(CLAS)和工程与应用科学学院(SEAS)的学生小组完成了预测试、在线模块和后测试。对前后测试的定性和定量结果进行了分析,以确定该模块的有效性,并了解不同专业对该模块的理解有何不同。通过分析,得出两个发现:在线学习增加了对关键系统思维概念的学习和理解,并且这种学习和理解在CLAS和SEAS参与者之间没有显著差异。这些结果告诉教育工作者应该重视在线学习计划的持续发展和可扩展性,以增强对系统思维概念的理解。更广泛地说,这项研究为越来越多的文献做出了贡献,这些文献不仅在高等教育领域,而且在其他大型系统中,都试图理解技术对信息传播的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessing Student Learning of Systems Thinking Concepts in an Online Education Module
Institutions of higher education are vast interconnected networks of departments, programs, majors, and courses, whose complexity is only increased by the rapid growth and availability of technology-based learning in recent years. In today’s data-driven world, it is critical for college students in all academic disciplines to understand the basic concepts of “systems thinking” and how systems thinking strategies can be applied to nearly any problem they encounter in their careers. While making this information available to students online is an easy way to disseminate the content within the complex network of higher education, the decision to do so may be at the expense of students’ understanding of the material. Therefore, this paper aims to assess the effectiveness of an online module in introducing systems thinking concepts to both engineers and non-engineers. To conduct the study, a gap analysis was performed among existing online education platforms, resulting in the selection of Thinkific as the most effective massive open online course (MOOC) platform through which to disseminate our online module content. Thinkific has open access and allows for interactive participation through the Internet. A short online module was developed and validated in Thinkific using human design principles and user testing. Upon completion of the module design, groups of students in the College of Arts and Sciences (CLAS) and in the School of Engineering and Applied Science (SEAS) at the University of Virginia completed a pre-test, the online module, and a post-test. The qualitative and quantitative results of the pre- and post-tests were analyzed to determine the effectiveness of the module and to learn how understanding varies by intended major. Through this analysis, two findings were elicited: online learning increases learning and understanding concerning key systems thinking concepts, and this learning and understanding is not significantly different between CLAS and SEAS participants. These results inform educators about the degree of emphasis that should be placed on continued development and scalability of online learning programs to enhance understanding of systems thinking concepts. More broadly, this study contributes to the growing body of literature which seeks to understand the impact of technology on the spread of information not only within the field of higher education, but within other large systems as well.
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