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Agasisti, Tommaso; Gil-Izquierdo, María; Han, Seong Won – Education Economics, 2020
In this paper, we have employed data from the OECD's Programme for International Student Assessment (PISA, 2012 edition) on the EU-15 countries in order to investigate the effect of using ICT at home on achievement. By employing Propensity Score Matching, we provide robust evidence that in most countries there is a negative association between…
Descriptors: Academic Achievement, Computer Use, Homework, Family Environment
Torppa, Minna; Eklund, Kenneth; Sulkunen, Sari; Niemi, Pekka; Ahonen, Timo – Journal of Research in Reading, 2018
The present study examined gender gap in Program for International Student Assessment (PISA) Reading and mediators of the gender gap in a Finnish sample (n = 1,309). We examined whether the gender gap in PISA Reading performance can be understood via the effects of reading fluency, achievement behaviour (mastery orientation and task-avoidant…
Descriptors: Gender Differences, Foreign Countries, Reading Fluency, Recreational Reading
Baines, Lawrence – Education Digest: Essential Readings Condensed for Quick Review, 2008
Throughout the United States, initiatives are being launched to extend the school day, increase homework, integrate technology, and require more high-stakes testing. The underlying assumption is that more time in school, more homework, more technology, and more high stakes testing will produce smarter, better-prepared students. Instead of…
Descriptors: Educational Change, School Schedules, Homework, Educational Technology
Baines, Lawrence – Phi Delta Kappan, 2007
At this moment, in school districts throughout the United States, initiatives are being launched to extend the school day, increase homework, integrate technology, and require more high-stakes testing. The assumption underlying these initiatives is that more and more--more time in school, more homework, more technology, and more high-stakes…
Descriptors: Homework, Educational Change, Extended School Year, Comparative Education
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection