Teaching and learning analytics to support teacher inquiry
Teaching and learning analytics to support teacher inquiry
复制标题
教学分析支持教师探究
DOI：
10.1109/educon.2017.7943109
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
D. Sampson
中科院分区：
文献类型：
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作者：
D. Sampson
在全球范围内，加强学校自主性和问责制的范例正在形成势头，需要基于教育数据的有效决策。因此，教师收集、分析和利用教育数据以反思和改进其实践的能力(这一过程称为教师调查)是学校改进和可持续发展的一个基本要素。作为对此的回应，人们提出了数字教育数据分析技术(即教与学分析)，作为在收集、分析和利用教育数据的过程中支持教师的手段，增强他们的数据素养能力，并有效地改进教学过程的各个方面。本教程将从课堂教师的角度介绍教与学分析这一新兴领域，并讨论如何使用它们来支持教师探究和改进基于课堂的教学。它基于科廷大学教育学院通过edX平台为课堂教师开发和提供的大规模开放在线课程(MOOC)分析的材料。
Globally, the paradigm of increased school autonomy and accountability is gaining momentum, introducing the need for effective decision making based on educational data. For this reason, the capacity of teachers to collect, analyze and exploit educational data to reflect on and improve their practice (a process known as teacher inquiry) is an essential element in school improvement and sustainability. As a response to that, digital Educational Data Analytics technologies have been proposed (i.e., Teaching and Learning Analytics) as the means to support teachers during the cycle of collecting, analyzing and exploiting educational data, enhance their data literacy capacity and effectively improve different aspects of the teaching and learning process. This tutorial will present an introduction to the emerging field of Teaching and Learning Analytics from the perspective of a classroom teacher and discuss how they can be used to support Teacher Inquiry and improve classroom-based teaching and learning. It is based on the material of the Massive Open Online Course (MOOC) Analytics for the Classroom Teacher developed and offer by the School of Education, Curtin University through the edX platform.