A Mixed-Method Study of How Instructors Design for Learning in Online and Distance Education

Quan Nguyen, B. Rienties, Denise Whitelock
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引用次数: 5

Abstract

The use of analytical methods from learning analytics (LA) research combined with visualizations of learning activities using learning design (LD) tools and frameworks has provided important insight into how instructors design for learning. Nonetheless, there are many subtle nuances in instructors’ design decisions that might not easily be captured using LA tools. Therefore, this study sets out to explore how and why instructors design for learning in an online and distance higher education setting by employing a mixed-method approach, which combined semi-structured interviews of 12 instructors with network analyses of their LDs. Our findings uncovered several underlying factors that influenced how instructors designed their modules and highlighted some discrepancies between instructors’ pedagogical beliefs and their actual LD as captured by the Open University Learning Design Initiative (OULDI). This study showcases the potential of combining LA with qualitative insights for a better understanding of the complex design process in online distance higher education.
在线和远程教育中教师如何设计学习的混合方法研究
使用学习分析(LA)研究的分析方法,结合使用学习设计(LD)工具和框架的学习活动可视化,为教师如何设计学习提供了重要的见解。尽管如此,在教师的设计决策中有许多微妙的差别,这些差别可能不容易用LA工具捕捉到。因此,本研究通过采用混合方法,将对12名教师的半结构化访谈与对其ld的网络分析相结合,着手探索教师如何以及为什么在在线和远程高等教育环境中进行学习设计。我们的发现揭示了影响教师如何设计其模块的几个潜在因素,并强调了教师的教学信念与开放大学学习设计倡议(OULDI)所捕获的实际LD之间的一些差异。这项研究展示了将LA与定性分析相结合的潜力,可以更好地理解在线远程高等教育中复杂的设计过程。
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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