Challenges in Analyzing Unstructured Learner Generated Qualitative Big Data

dc.contributor.author	Ozan, O.
dc.date.accessioned	2021-01-25T19:34:26Z
dc.date.available	2021-01-25T19:34:26Z
dc.date.issued	2015
dc.identifier.issn	2048-8637
dc.identifier.uri	https://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/7954
dc.description.abstract	As the amount of educational data grows, a necessity is occurring to define characteristics of Unstructured Learner Generated Qualitative Big Data (ULGQBD), and develop a conceptual framework to analyze these data sets. According to the author there are t
dc.language.iso	English
dc.publisher	ACAD CONFERENCES LTD
dc.title	Challenges in Analyzing Unstructured Learner Generated Qualitative Big Data
dc.type	Proceedings Paper
dc.relation.firstpage	470
dc.relation.lastpage	477
dc.description.woscategory	Education & Educational Research
dc.description.wosresearcharea	Education & Educational Research
dc.identifier.wosid	WOS:000371972900062
dc.identifier.ctitle	14th European Conference on E-Learning (ECEL)
dc.identifier.cdate	OCT 29-30, 2015

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