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Teaching and learning analytics to support teacher inquiry

机译：教学和学习分析支持教师查询

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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.
机译：在全球范围内，增加学校自主权和问责制的范式正在获得势头，这引入了基于教育数据的有效决策的需求。因此，教师收集，分析和利用教育数据的能力，以反思和改善其实践（称为教师询问的过程）是学校改善和可持续性的基本要素。作为对此的回应，已经提出了数字教育数据分析技术（即教学和学习分析）作为支持教师在收集，分析和利用教育数据的循环期间支持教师的手段，提高他们的数据素养能力，有效地改善不同方面教学与学习过程。本教程将从课堂教师的角度提出新出现的教学和学习分析领域，并讨论如何习惯于支持教师查询，改进基于课堂的教学和学习。它基于大规模开放的在线课程（MOOC）分析的课堂教师分析，由教育学院通过EDX平台进行教育学院提供。

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