A framework for classifying opportunities to learn in Faculty Online Learning Communities: A preview with sample application
A framework for classifying opportunities to learn in Faculty Online Learning Communities: A preview with sample application
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对教师在线学习社区中的学习机会进行分类的框架：带有示例应用程序的预览
DOI：
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发表时间：
2020
期刊：
影响因子：
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通讯作者：
C. Turpen
中科院分区：
文献类型：
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作者：
Alexandra C. Lau;Adriana Corrales;F. Goldberg;C. Turpen
教师在线学习社区（FOLC）是独特的专业发展环境，旨在支持教师采用基于研究的教学策略和课程。FOLC参与者通过视频会议平台会面，讨论他们的教学挑战并提出解决方案。为了捕捉的广度和深度的学习，可以通过参与一个FOLC，并确定之间的连接促进移动，话语结构，学习机会，我们已经开发了一个分类来表征的机会，学习（OTL）在FOLC会议。在本文中，我们将预览该分类法，介绍其主要组件，并根据以下一代物理科学和日常思维（NGPET）课程为中心的FOLC会议概述其开发情况。使用从NGPET-FOLC会议摘录，我们演示了如何分类可以作为一种分析工具。最后，我们讨论了这种分类法的潜在应用。
Faculty Online Learning Communities (FOLCs) are unique professional development environments built to support instructors as they adopt research-based teaching strategies and curricula. FOLC participants meet via a video conferencing platform to discuss their teaching challenges and to generate solutions. In order to capture the breadth and depth of learning that can occur by participating in a FOLC, and to identify connections between facilitation moves, discursive structures, and learning opportunities, we have developed a taxonomy to characterize the opportunities to learn (OTLs) in a FOLC meeting. In this paper we will preview the taxonomy, presenting its main components, and provide an overview of its development based on meetings from a FOLC centered around the Next Generation Physical Science and Everyday Thinking (NGPET) curriculum. Using an excerpt from a NGPET-FOLC meeting, we demonstrate how the taxonomy can be used as an analytical tool. We end with a discussion of the potential applications for this taxonomy.