url
	http://core.miserver.it.umich.edu/omeka-s/s/ire/item/4750
o:resource_class
	ire:JournalArticle
ire:id
	Z5F9DV2D
ire:class
	ire:JournalArticle
ire:year
	2020
ire:author
	Winne, Philip H.
ire:title
	Construct and Consequential Validity for Learning Analytics Based on Trace Data
ire:issn
	0747-5632
ire:doi
	https://doi.org/10.1016/j.chb.2020.106457 10.1016/j.chb.2020.106457
ire:url
	https://www.sciencedirect.com/science/article/pii/S0747563220302090 Official Publisher's Webpage (ScienceDirect)
ire:date
	2020
ire:dateAdded
	11/25/2022 15:33
ire:dateModified
	11/25/2022 15:33
ire:dateAccessed
	11/25/2022 15:33
ire:pages
	106457
ire:volume
	112
ire:abbr
	Computers in Human Behavior
ire:language
	en
ire:catalog
	ScienceDirect
ire:attachFile
	C:\Users\huynh\Zotero\storage\J5JNB6FU\S0747563220302090.html
ire:status
	Published Text
ire:genre
	Theoretical
ire:peer
	Yes
ire:keywords
	learning analytics
	reliability
	self-regulated learning
	theory
	trace data
	validity
ire:resourceType
	Research/Scholarly Media
ire:inPublication
	Computers in Human Behavior
ire:apa
	Winne, P. H. (2020). Construct and Consequential Validity for Learning Analytics Based on Trace Data. Computers in Human Behavior, 112, 106457. https://doi.org/10.1016/j.chb.2020.106457
ire:openAccess
	No

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