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Predicting academic resilience with mathematics learning and demographic variables: Comparing Macao, Hong Kong, Korea, Japan, Canada, Estonia and Finland
Cheung, K. C.; Sit, P. S.; Ieong, M. K.; Mak, S. K.
2014-09-01
Source Publication2014 European Conference on Educational Research
AbstractMathematical literacy is the main concern of the international comparative study of PISA 2012 (OECD, PISA 2012 results: What students know and can do: Student performance in mathematics, reading and science (Volume 1), 2013) based on the results of which educational quality of 65 economies were arranged in a league table. Based on the impact of the economic, social, and cultural status (ESCS) of the student on mathematical literacy performance, economies might also be arranged in a league table reflecting the equity of the education systems. The present study analyzes data of selected variables for the seven economies (Macao, Hong Kong, Korea, Japan, Canada, Estonia, and Finland) which from the PISA 2012 perspective the schooling outcomes of which are of high level in terms of both educational quality and educational equity, paying special attention to the ESCS disadvantaged students who are resilient in spite of being in an unfavorable condition. Logistic regression was run on the data to identify the predictive variables. Gender, family structure, immigration status, attending kindergarten, and grade repetition, as well as a number of variables pertaining to learning mathematics and problem solving experiences were found to differentiate between the ESCS disadvantaged resilient and non-resilient students to different extents across the seven economies under study. To help raise the mathematical literacy performance standard of the disadvantaged non-resilient students relative to the resilient students, the present study reveals a number of alterable variables which are readily at the disposal of the various stakeholders. Specifically, across the seven economies attention needs to be paid especially to mathematics self-efficacy of the students. Other alterable variables of no less importance, such as familiarity with mathematical concepts, experience with pure mathematics tasks at school, mathematics self-concept, mathematics anxiety, perseverance and openness for problem-solving are also identified. These variables affect particular economies to different extents, and interesting patterns of effects are clearly discernible when Macao, Hong Kong, Korea and Japan are contrasted with that of Canada, Estonia and Finland.
KeywordMathematical literacy Academic resilience Learning mathematics Problem solving PISA
Language英語English
The Source to ArticlePB_Publication
PUB ID12472
Document TypeConference paper
CollectionFaculty of Education
Recommended Citation
GB/T 7714
Cheung, K. C.,Sit, P. S.,Ieong, M. K.,et al. Predicting academic resilience with mathematics learning and demographic variables: Comparing Macao, Hong Kong, Korea, Japan, Canada, Estonia and Finland[C], 2014.
APA Cheung, K. C.., Sit, P. S.., Ieong, M. K.., & Mak, S. K. (2014). Predicting academic resilience with mathematics learning and demographic variables: Comparing Macao, Hong Kong, Korea, Japan, Canada, Estonia and Finland. 2014 European Conference on Educational Research.
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