Construct and consequential validity for learning analytics based on trace data

Volume: 112, Pages: 106457
Published: Nov 1, 2020
Abstract
null null This article analyzes the concept of validity to set out key factors bearing on claims about validity in general and particularly regarding learning analytics. Because uses of trace data in learning analytics are increasing rapidly, specific consideration is given to reliability of trace data and their role in claiming validity for interpretations grounded on trace data. This analysis reveals the essential and inescapable role of...
Paper Details
Title
Construct and consequential validity for learning analytics based on trace data
Published Date
Nov 1, 2020
Volume
112
Pages
106457
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