url
	http://core.miserver.it.umich.edu/omeka-s/s/ire/item/4723
o:resource_class
	ire:JournalArticle
ire:id
	FK8K6475
ire:class
	ire:JournalArticle
ire:year
	2018
ire:author
	Liu, Ran
	Stamper, John C.
	Davenport, Jodi
ire:title
	A Novel Method for the In-Depth Multimodal Analysis of Student Learning Trajectories in Intelligent Tutoring Systems
ire:issn
	1929-7750
ire:doi
	https://doi.org/10.18608/jla.2018.51.4 10.18608/jla.2018.51.4
ire:url
	https://learning-analytics.info/index.php/JLA/article/view/5423 Open Access Journal Webpage (Journal of Learning Analytics)
ire:date
	2018
ire:dateAdded
	11/25/2022 0:59
ire:dateModified
	11/25/2022 0:59
ire:dateAccessed
	11/25/2022 0:59
ire:pages
	41-54
ire:issue
	1
ire:volume
	5
ire:language
	en
ire:rights
	Copyright (c) 2018 Journal of Learning Analytics
ire:catalog
	learning-analytics.info
ire:extra
	Number: 1
ire:attachFile
	C:\Users\huynh\Zotero\storage\WS8QFEDM\Liu et al. - 2018 - A Novel Method for the In-Depth Multimodal Analysi.pdf
ire:status
	Published Text
ire:genre
	Empirical
ire:peer
	Yes
ire:keywords
	mixed methods
ire:resourceType
	Research/Scholarly Media
ire:inPublication
	Journal of Learning Analytics
ire:apa
	Liu, R., Stamper, J. C., & Davenport, J. (2018). A Novel Method for the In-Depth Multimodal Analysis of Student Learning Trajectories in Intelligent Tutoring Systems. Journal of Learning Analytics, 5(1), Article 1. https://doi.org/10.18608/jla.2018.51.4
ire:openAccess
	Yes

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