大规模学习的设计视角:扩展效率和授权

Chinmay Kulkarni
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引用次数: 5

摘要

我们如何设计大规模学习的技术?基于对大量有影响力的大规模学习系统的研究,我认为为规模而设计不是一项无定形的设计事业。相反,它建立在两种不同的规模视角上。基于效率视角构建的系统可以提高学习效率,并允许相同数量的教师帮助更多的学习者。具有通过授权扩展视角的系统使更多的人能够有效地帮助学习者。我概述了这些设计角度的简单差异如何导致设计关注点、技术和评估标准的巨大差异。阐明流行的设计观点可以使被忽视的设计机会更加突出,帮助系统设计师更有意识地进行规模设计,并了解其权衡,并为改变观点的设计师提供新的机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design Perspectives of Learning at Scale: Scaling Efficiency and Empowerment
How do we design technology for learning at scale? Based on an examination of a large number of influential systems for learning at scale, I argue that designing for scale is not an amorphous design undertaking. Instead, it builds on two distinct perspectives on scale. Systems built with a scaling through efficiency perspective make learning more efficient and allow the same number of instructors to help a much larger set of learners. Systems with a scaling through empowerment perspective empower a larger number of people to assist learners effectively. I outline how these simple differences in design perspective lead to large differences in design concerns, techniques, and evaluation criteria. Articulating prevalent design perspectives should make overlooked design opportunities more salient, help systems designers design for scale more deliberately and understand their tradeoffs, and open up new opportunities to designers who shift their perspectives.
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