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Lezhnina, Olga; Kismihók, Gábor – International Journal of Research & Method in Education, 2022
In our age of big data and growing computational power, versatility in data analysis is important. This study presents a flexible way to combine statistics and machine learning for data analysis of a large-scale educational survey. The authors used statistical and machine learning methods to explore German students' attitudes towards information…
Descriptors: Student Attitudes, Scientific Literacy, Numeracy, Foreign Countries
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Ham, Yeajin; Hwang, Jihyun – AERA Online Paper Repository, 2020
With rising importance of collaborative problem-solving skills (CLPS) for the new information age, the PISA 2015 assessed students' CLPS skills on a large scale. This new attempt to measure CLPS raises an issue of validity. The purpose of this research is to examine evidence for convergent validity of CLPS through investigating the relationships…
Descriptors: Cooperative Learning, Problem Solving, Student Evaluation, International Assessment
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Bellová, Renata; Melichercíková, Danica; Tomcík, Peter – Research in Science & Technological Education, 2018
Background: The results of international studies have concluded the low level of science literacy in natural science subjects of Slovak students. These studies also showed that this state can be positively influenced by various innovations, which are implemented into the teaching process of above-mentioned subjects. Purpose: The aim of this study…
Descriptors: Foreign Countries, Scientific Literacy, Natural Sciences, Secondary School Students
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Tan, Cheng Yong – Cambridge Journal of Education, 2018
The present study examined indirect effects of principal leadership on the mathematics achievement of 254,475 15-year-old students from 10,313 schools in 32 OECD economies. Results showed that the students could be divided into three categories ("Disadvantaged," "Average," and "Privileged") differing in levels of…
Descriptors: Mathematics Achievement, Disadvantaged, Advantaged, Socioeconomic Status
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Magen-Nagar, Noga – International Journal of Research in Education and Science, 2016
The purpose of the current study is to explore the effects of learning strategies on Mathematical Literacy (ML) of students in higher and lower achieving countries. To address this issue, the study utilizes PISA2002 data to conduct a multi-level analysis (HLM) of Hong Kong and Israel students. In PISA2002, Israel was rated 31st in Mathematics,…
Descriptors: Mathematics Skills, Learning Strategies, Mathematics Achievement, Cross Cultural Studies
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Said, Ziad – EURASIA Journal of Mathematics, Science & Technology Education, 2016
Science education reform in Qatar has had limited success. In the Trends in International Mathematics and Science Study (TIMMS), Qatari 4th and 8th grade students have shown progress in science achievement, but they remain significantly below the international average. Also, in the Program for International Student Assessment (PISA), Qatari…
Descriptors: Science Education, Educational Change, Problem Based Learning, Questionnaires
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Li, Jie; Chun, Cecilia Ka-wai – Reading Matrix: An International Online Journal, 2012
This study assesses the effects of the use of learning strategies on student literacy performance based on the 2002 Hong Kong Program for International Student Assessment. The descriptive statistics show that students use the memorization strategy almost as frequently as the elaboration strategy. Independent sample t-tests reveal that female…
Descriptors: Reading Achievement, Learning Strategies, Foreign Countries, Direct Instruction
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Lingvay, Mónika; Timofte, Roxana S.; Ciascai, Liliana; Predescu, Constantin – Acta Didactica Napocensia, 2015
Development of pupils' deep learning approach is an important goal of education nowadays, considering that a deep learning approach is mediating conceptual understanding and transfer. Different performance at PISA tests of Romanian and Hungarian pupils cause us to commence a study for the analysis of learning approaches employed by these pupils.…
Descriptors: Comparative Analysis, Learning Strategies, Cognitive Style, Statistical Analysis
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Ichinose, Cherie; Bonsangue, Martin – Learning Assistance Review, 2016
This study examined students' mathematical self-related beliefs in an online mathematics course. Mathematical self-related beliefs of a sample of high school students learning mathematics online were compared with student response data from the 2012 Programme for International Student Assessment (PISA). The treatment group reported higher levels…
Descriptors: Mathematics Instruction, Electronic Learning, Online Courses, High School Students
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Guo, Jiesi; Parker, Philip D.; Marsh, Herbert W.; Morin, Alexandre J. S. – Developmental Psychology, 2015
Drawing on the expectancy-value model, the present study explored individual and gender differences in university entry and selection of educational pathway (e.g., science, technology, engineering, and mathematics [STEM] course selection). In particular, we examined the multiplicative effects of expectancy and task values on educational outcomes…
Descriptors: Foreign Countries, STEM Education, Expectation, Academic Achievement