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Lau, Kwok-Chi; Ho, Sui-Chu Esther – Research in Science Education, 2022
This study analyzes how students' reported teaching practices of their teachers and their attitudes towards science are related to the science achievements of four high-performing countries/economies in PISA 2015: Hong Kong, China, Canada, and Finland. A study of these regions can shed light on the commonalities of and differences between the…
Descriptors: Foreign Countries, Student Attitudes, Science Achievement, High Achievement
Xue Wang – Society for Research on Educational Effectiveness, 2023
Background: Research has shown that teacher feedback is critical for student learning and well-being (Siegle & McCoach, 2007; Wisniewski et al., 2020). However, teachers often provide more positive feedback to students from high socioeconomic backgrounds than to those from low socioeconomic backgrounds (Rimm-Kaufman et al., 2000; Tobisch &…
Descriptors: Feedback (Response), Teacher Influence, Self Efficacy, Predictor Variables
Ünal, Erhan; Uzun, Ahmet Murat; Kilis, Selcan – Education and Information Technologies, 2022
This study aims to investigate how Turkish students' involvement in information and communication technologies (ICT) predicts their math and science performance in the 2018 Programme for International Student Assessment (PISA) test. The research also tests demographic variables including socioeconomic status (SES) and gender as covariates. The…
Descriptors: Foreign Countries, Secondary School Students, Socioeconomic Status, Gender Differences
Karadavut, Tugba; Cohen, Allan S.; Kim, Seock-Ho – International Journal of Assessment Tools in Education, 2019
Covariates have been used in mixture IRT models to help explain why examinees are classed into different latent classes. Previous research has considered manifest variables as covariates in a mixture Rasch analysis for prediction of group membership. Latent covariates, however, are more likely to have higher correlations with the latent class…
Descriptors: Item Response Theory, Classification, Correlation, International Assessment
Immekus, Jason C.; Jeong, Tai-sun; Yoo, Jin Eun – Large-scale Assessments in Education, 2022
Large-scale international studies offer researchers a rich source of data to examine the relationship among variables. Machine learning embodies a range of flexible statistical procedures to identify key indicators of a response variable among a collection of hundreds or even thousands of potential predictor variables. Among these, penalized…
Descriptors: Foreign Countries, Secondary School Students, Artificial Intelligence, Educational Technology
Seo, Young Sik; Kim, Taeyoung – Journal of Curriculum and Teaching, 2022
The present study was aimed to investigate whether Finnish and Danish students' math achievement differed and which student-level factors, if any, explained the achievement gaps and whether teacher participation in decision making and teacher morale, among the school-level factors, explained the achievement gaps in Finland and Denmark. To this…
Descriptors: Teacher Morale, Predictor Variables, Mathematics Achievement, Cross Cultural Studies
Gómez, Ricardo L.; Suárez, Ana María – International Journal of STEM Education, 2020
Background: Inquiry-based teaching (IBT) and improving school climate are the two most commonly used strategies for fostering learning and critical thinking skills in students. IBT has positioned itself as one of the most recommended "active" methodologies for developing intellectual autonomy and complex thought processes, whereas school…
Descriptors: Inquiry, Educational Environment, Teaching Methods, Critical Thinking
Lee, Jihyun; Zhang, Yang; Stankov, Lazar – Educational Assessment, 2019
This study aims to identify which socio-economic status (SES) variables have the best predictive validity for academic achievement, based on the international data sets of the Programme for International Student Assessment (PISA) in 2012, 2009, 2006, and 2003. From among 10 SES measures, two composite variables - Index of economic, social and…
Descriptors: Predictive Validity, Socioeconomic Status, Academic Achievement, Predictor Variables
Erdogdu, Funda – Education and Information Technologies, 2022
The main drive for this study is to look into potential predictors of educational achievement using OECD's original Pisa 2018 dataset. This paper explores (i) access to ICT, (ii) physical characteristics of learning environment at school, (iii) quality of teaching staff and educational material, (iv) student characteristics and learning climate,…
Descriptors: Academic Achievement, Predictor Variables, International Assessment, Secondary School Students
Wong, Tracy K. Y.; Tao, Xi; Konishi, Chiaki – Issues in Educational Research, 2018
This study explored the extent to which teachers' instrumental (i.e., tangible aid to promote learning) and appraisal support (i.e., teacher feedback) enhanced students' achievement in mathematics. Participants included 13,950 fifteen-year-old Canadian students who participated in the 2012 Programme for International Student Assessment. Based on…
Descriptors: Mathematics Instruction, Mathematics Achievement, Feedback (Response), Regression (Statistics)
Petrilli, Michael J.; Wright, Brandon L. – Education Next, 2016
At a time when the national conversation is focused on lagging upward mobility, it is no surprise that many educators point to poverty as the explanation for mediocre test scores among U.S. students compared to those of students in other countries. If American teachers in struggling U.S. schools taught in Finland, says Finnish educator Pasi…
Descriptors: Low Achievement, Scores, Poverty, Performance Factors
Gabriel, Florence; Signolet, Jason; Westwell, Martin – International Journal of Research & Method in Education, 2018
Mathematics competency is fast becoming an essential requirement in ever greater parts of day-to-day work and life. Thus, creating strategies for improving mathematics learning in students is a major goal of education research. However, doing so requires an ability to look at many aspects of mathematics learning, such as demographics and…
Descriptors: Artificial Intelligence, Mathematics Instruction, Numeracy, Models
Arikan, Serkan; Yildirim, Kasim; Erbilgin, Evrim – International Electronic Journal of Elementary Education, 2016
Turkish students on average had lower scores than OECD countries on mathematics, science, and reading at international assessment programs. As PISA measures the extent to which 15-year-old students are prepared to handle the challenges they may encounter in their future lives, and evaluates students' ability to reflect and to apply their knowledge…
Descriptors: Foreign Countries, Scores, Reading Achievement, Mathematics Achievement
Sebastian, James; Moon, Jeong-Mi; Cunningham, Matt – Educational Studies, 2017
This paper explores parental involvement using principal and parent survey reports to examine whether parents' involvement in their children's schools predicts academic achievement. Survey data from principals and parents of seven countries from the PISA 2012 database and hierarchical linear modelling were used to analyse between- and within-…
Descriptors: Achievement Tests, Foreign Countries, International Assessment, Secondary School Students
Patrinos, Harry Anthony; Arcia, Gustavo; Macdonald, Kevin – Prospects: Quarterly Review of Comparative Education, 2015
This article contrasts policy intent and policy implementation in school autonomy and accountability. The analysis uses a conceptual framework based on the interaction between school autonomy, student assessment, and accountability as elements of a closed system. The article analyzes the implementation of school autonomy and accountability policy,…
Descriptors: Foreign Countries, Accountability, Institutional Autonomy, Educational Policy