MOOCs中的同伴:基于教育生产函数、集体行动与实验的课程

B. Williams
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引用次数: 4

摘要

关于同伴的经济理论可以帮助有学问的科学家和设计师将他们的工作从小教室的规模扩展到无限的学习体验。我的建议是:1。我们可以通过改变同龄人的技术来提高在线学习的效率;许多围绕同伴的结构可以根据班级规模进行扩展。2. 成为好同学并不总是符合学生的最佳利益,集体行动的失败可能会随着班级规模的扩大而恶化。我在一个NovoEd MOOC中为老师们做了一个实验,这个实验就是受到这些命题的激励;这导致了未来关于意外和突发效应的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Peers in MOOCs: Lessons Based on the Education Production Function, Collective Action, and an Experiment
Economic theory about peers can help learning scientists and designers scale their work from the scale of small classrooms to limitless learning experiences. I propose: 1. We may increase productivity in online learning by changing technologies around peers; many structures around peers can scale with class size. 2. It is not always in students' best interests to be good peers, and collective action failures may worsen with class size. I conducted an experiment in a NovoEd MOOC for teachers that was motivated by these propositions; it leads to future questions about unintended and emergent effects.
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