A Review of Data Used in Education Research: Focus on Empirical Studies in Developing Countries
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Phal Chea: Research Institute for Economics and Business Administration, Kobe University
No DP2019-27, Discussion Paper Series from Research Institute for Economics & Business Administration, Kobe University
This paper intends to review education-related datasets, including data from household surveys, learning assessments and field experiments, publicly available for researchers and students interested in conducting education research. It also presents ideas on how those data can be used in empirical studies and identifies some major potential sources of those datasets. Issues in education have shifted from access to quality learning and at the same time, randomized control trial (RCT) has become the gold standard in measuring the impacts of education programs. The paper also notices the emerging field of educational data mining employed to predict student performance or to identify at-risk students.
Keywords: Education data; Household survey; Learning assessment; Field experiment; Educational data mining (search for similar items in EconPapers)
JEL-codes: A20 C80 I21 I25 (search for similar items in EconPapers)
Pages: 24 pages
New Economics Papers: this item is included in nep-exp
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https://www.rieb.kobe-u.ac.jp/academic/ra/dp/English/DP2019-27.pdf First version, 2019 (application/pdf)
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Persistent link: https://EconPapers.repec.org/RePEc:kob:dpaper:dp2019-27
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