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Direct linkTopçu, Mustafa Sami; Erbilgin, Evrim; Arikan, Serkan – EURASIA Journal of Mathematics, Science & Technology Education, 2016
This study makes an important contribution to an expanding body of international comparative studies by exploring factors predicting differences in science and mathematics achievement by students in Turkey and the Republic of Korea on the 2011 TIMSS assessment. While these countries are similar with regards to population size, cultural beliefs…
Descriptors: Foreign Countries, Predictor Variables, Science Achievement, Mathematics Achievement
Caponera, Elisa; Losito, Bruno – Large-scale Assessments in Education, 2016
Background: The present study investigates what factors related to the school context influence student achievement on TIMSS mathematics tests across countries. A systematic review of the literature on PIRLS, TIMSS, and ICCS was conducted upstream to identify those school, teacher, and classroom factors shown to be useful predictors of student…
Descriptors: Educational Environment, Academic Achievement, Comparative Education, Foreign Countries
Download full textAslan, Berna – Eurasian Journal of Educational Research, 2015
Problem Statement: Teacher self-efficacy is important factor for school and student success. This study investigates the variables that explain teacher self-efficacy in Turkey and South Korea according to TALIS 2008 data. A detailed comparison was conducted and the state of the teaching profession in both countries is discussed. Purpose of the…
Descriptors: Comparative Analysis, Comparative Education, Teacher Effectiveness, Self Efficacy
Okur Dincsoy, Meltem – ProQuest LLC, 2010
The remarkable development in ICT (Information and Communication Technology) was observed in the past decades that it has an increasing impact on economic and social activities in the world. ICT have had a significant role in the economic growth for developed and developing countries. The countries have been very dynamic in recent years in East…
Descriptors: Economic Progress, Privatization, Income, Multiple Regression Analysis
