Paper Info
Title
Teaching and learning analytics to support teacher inquiry.
Abstract
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.
Year
Venue
Keywords
2017
IEEE Global Engineering Education Conference
Educational Data,Data Literacy,Educational Data Analytics,Teaching Analytics,Learning Analytics,Teacher Inquiry
Field
DocType
ISSN
Learning analytics,Data analysis,Computer science,Autonomy,Knowledge management,Accountability,Exploit,Massive open online course,Data literacy,Analytics,Multimedia
Conference
2165-9567
Citations 
PageRank 
References 
0
0.34
1
Authors
1
Name
Order
Citations
PageRank
Demetrios G. Sampson11310247.68