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…

The aim of this study was to investigate the comparability of feedback across culturally diverse countries by assessing the measurement invariance in PISA 2015 data. A multi-group confirmatory factor analysis showed that the feedback scale implemented in PISA 2015 was not invariant across countries. The intercepts and residuals of the factor model…

PISA (Programme for International Student Assessment) is one of two large scale international comparative projects of student assessment that now exert considerable influence upon school science education policy, the other being TIMSS (Trends in International Mathematics and Science Study). This paper focuses on PISA, now the most influential…

To test the hypothesis that students who complete remote online tests experience an 'online grade penalty', we compared performance outcomes of second-year students who elected to complete exams online to those who completed face-to-face, paper-based tests in an organic chemistry course. We pursued the following research questions: (RQ1) Are there…

A sequential exploratory mixed methods approach guided research on the science program infrastructures (SPI) of a sample of 28 high schools representing 1,370 high schools in a large southwestern state. Comparisons of SPI were made between and among schools representing highly successful schools of low (n=9) and high diversity (n=10) with less…

Using IEA's Trends in International Mathematics and Science Study (TIMSS) 2019 data, this brief explores the relationship between students' gender, their confidence and achievement in mathematics and science, and their aspirations to pursue careers in these fields. We find that more boys than girls at grade 8 want to have a mathematics- or…

Background: Researchers have acknowledged that examining ICT in relation to disciplinary learning outcomes could offer a promising, synergistic research path forward. A number of empirical studies have been done to determine the relationship between ICT-related variables and students' science achievement. However, the mechanism of the…

Context-Based Learning (CBL) and learning through developing and using models are two important teaching approaches for chemistry conceptual understanding. We aimed to examine the influence of a CBL approach on students' understanding of Multiple Models of Knowledge Representations ("MMKRs") and "multiple molecular…

Researchers have expressed concern about the state of STEM education. To improve this situation, new pedagogies, such as blended learning, have been proposed and tested. The last decade has seen an increase in the use of blended learning to support learning; however, the effect of blended learning on learning remains unclear and often mixed. The…

Since the interaction of individual variables with learning outcomes has been relatively neglected in the CLIL (Content and Language Integrated Learning) research agenda (Doiz, A., Lasagabaster, D., & Sierra, J. M. (2014). CLIL and motivation: The effect of individual and contextual variables. "The Language Learning Journal," 42(2),…

The abstractness of the chemistry concept can be understood easily through chemistry learning using multiple representations. This article used the Systematic Literature Review (SLR) method to review eleven articles published from 2012 to 2021 and focused on chemistry learning using various representations. The articles are systematically obtained…

This Statistics in Brief (SiB) uses data from the 2011 and 2019 Trends in International Mathematics and Science Study (TIMSS), and explores how achievement gaps between high- and low-performing 4th- and 8th-grade students in the U.S. and other education systems have changed over time. Achievement gaps are defined as the differences in scores…

Lack of awareness about the interconnections between Science, Technology, and Society and students' dislike of studying science have led to many environmental and social problems. During the COVID-19 Pandemic, students experienced difficulties accessing educational resources and demanded new programs to support their academic science experiences.…

Artificial Intelligence is widely used across contexts and for different purposes, including the field of education. However, a review of the literature showcases that while there exist various review studies on the use of AI in education, missing remains a review focusing on science education. To address this gap, we carried out a systematic…

In the educational literature on peer effects, attention has been brought to the fact that the mechanisms creating peer effects are still to a large extent hidden in obscurity. The hypothesis in the study reported in this article was that the Frame Factor Theory (FFT) can be used to reveal such mechanisms. Using data from the Swedish TIMSS 2015 (N…