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Direct linkLuo, Wenshu – Asia Pacific Education Review, 2017
This study examined teaching practice in Singapore mathematics classrooms and its prediction of student engagement. A large sample of Singapore Secondary 2 students first reported perceived teaching practice in their mathematics classrooms in Term 1 and their engagement in mathematics study in Term 2. Based on Rasch analysis of teaching practice,…
Descriptors: Prediction, Teaching Methods, Learner Engagement, Metacognition
Lau, Kwok-chi; Lam, Terence Yuk-ping – International Journal of Science Education, 2017
This study analysed 10 top-performing regions in PISA 2015 on their science performances and instructional practices. The regions include Singapore, Japan, Estonia, Taipei, Finland, Macao, Canada, Hong Kong, China and Korea. The science performances of the 10 regions and their teaching practices are described and compared. The construct of…
Descriptors: Foreign Countries, Comparative Education, Educational Practices, Science Achievement
Download full textAyieko, Rachel A.; Gokbel, Elif N.; Nelson, Bryan – FIRE: Forum for International Research in Education, 2017
This study uses the 2011 Trends in International Mathematics and Science Study to investigate the relationships among students' and teachers' computer use, and eighth-grade students' mathematical reasoning in three high-achieving nations: Finland, Chinese Taipei, and Singapore. The study found a significant negative relationship in all three…
Descriptors: Achievement Tests, Foreign Countries, International Assessment, Mathematics Achievement
Albano, Anthony D.; Rodriguez, Michael C. – Educational and Psychological Measurement, 2013
Although a substantial amount of research has been conducted on differential item functioning in testing, studies have focused on detecting differential item functioning rather than on explaining how or why it may occur. Some recent work has explored sources of differential functioning using explanatory and multilevel item response models. This…
Descriptors: Test Bias, Hierarchical Linear Modeling, Gender Differences, Educational Opportunities
