失去脑袋的恐龙:对学习设计中使用学习分析的框架的贡献

R. B. Christiansen, Karsten Gynther, R. Jørnø
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引用次数: 1

摘要

本文提出了一种有意义地使用学习分析的方法,作为教师提高学习设计稳健性的工具。该方法基于通过学习分析研究参与者在大规模开放在线课程(MOOC)模式下的行为。我们表明,教师/设计师可以获得关于他或她的预期、实施和实现的学习设计的知识;关于MOOC参与者如何应对这些问题,以及学生在参加MOOC时如何能够提高“学习效率”。学习分析方法可以跟踪某些MOOC学生及其学习行为(例如,通过获得足够成就徽章的参与者),并检查MOOC中主持人的角色,表明脚手架在MOOC等教育形式的学习和学习过程中起着核心作用。关键词:mooc,大规模在线开放课程,数据饱和,学习分析,学习设计,教育设计研究,LMS
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dinosaur that lost its head: A contribution to a framework using Learning Analytics in Learning Design
This paper presents an approach to the meaningful use of learning analytics as a tool for teachers to improve the robustness of their learning designs. The approach is based on examining how participants act within a Massive Open Online Course (MOOC) format through learning analytics. We show that a teacher/designer can gain knowledge about his or her intended, implemented and attained learning design; about how MOOC participants act in response to these and about how students are able to develop ‘study efficiency’ when participating in a MOOC. The learning analytics approach makes it possible to follow certain MOOC students and their study behaviour (e.g. the participants who pass the MOOC by earning enough achievement badges) and to examine the role of the moderator in MOOCs, showing that scaffolding plays a central role in studying and learning processes in an educational format such as a MOOC. Key words: MOOCs, Massive Open Online Courses, data-saturated, learning analytics, learning design, educational design research, LMS.
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