This study aims (1) to develop an instructional model to enhance mathematical literacy for secondary students and (2) to examine the effects of using this instructional model. The sample group consisted of students from Lampabpla Wittayakarn School, under the jurisdiction of the Surin Secondary Educational Service Area Office in Thailand by using…

Evaluating scale comparability in international large-scale assessments depends on measurement invariance (MI). The root mean square deviation (RMSD) is a standard method for establishing MI in several programs, such as the Programme for International Student Assessment and the Programme for the International Assessment of Adult Competencies.…

The issue of model uncertainty has been gaining interest in education and the social sciences community over the years, and the dominant methods for handling model uncertainty are based on Bayesian inference, particularly, Bayesian model averaging. However, Bayesian model averaging assumes that the true data-generating model is within the…

Educational scholars have argued for fair pedagogical practices in response to the learning needs of diverse students. While pedagogical fairness has been widely advocated, few studies have systematically assessed its impact on student learning, and even fewer have examined pedagogical fairness from a school organisational perspective. To narrow…

The use of multistage adaptive testing (MST) has gradually increased in large-scale testing programs as MST achieves a balanced compromise between linear test design and item-level adaptive testing. MST works on the premise that each examinee gives their best effort when attempting the items, and their responses truly reflect what they know or can…

Science, Technology, Engineering, and Math (STEM) skills are increasingly required of students to be successful in higher education and the workforce. Therefore, modeling assessment outcomes accurately, often using more types of student data to get a complete picture of student learning, is increasingly relevant. The Program for International…

The increasing use of low-stakes international assessments highlights the importance of test-taking efforts. Previous studies have used self-reported and response time-based measures to examine this effort. Although differences between these measures have been suggested, their association with performances and potential gender gaps remains…

For assessment scales applied to different groups (e.g., students from different states; patients in different countries), multigroup differential item functioning (MG-DIF) needs to be evaluated in order to ensure that respondents with the same trait level but from different groups have equal response probabilities on a particular item. The…

Previous literature highlights the potential of ICT use to enhance mathematical learning. There are also several theoretical arguments supporting that gifted education benefits from ICT use. However, empirical studies have paid little attention to the relationship between ICT use and gifted students' mathematics performance. It is also unclear…

This study investigates the predictors of reading proficiency among 15-year-old Romanian students using data from the PISA 2018 assessment. For many years, a significant proportion of students have not met the basic proficiency level in reading, as measured by PISA. Previous research indicates that family background is the strongest predictor of…

The waning interest of students in science became a global concern. The purpose of this research was to translate, adapt, and validate the My Attitude toward Science [MATS] questionnaire instrument, which was used to measure students' attitudes toward science in the Indonesian context. We also investigated the items that contributed to gender and…

In 2018 the Organisation for Economic Co-operation and Development (OECD) launched its International Early Learning Child Well-being Study (IELS), also known as Baby PISA. In the first round of data collection, the IELS focused on three OECD countries: England, Estonia and the United States. In this article we show that a similar study of…

Out-of-field teaching is viewed as inferior to subject-specific instruction, but its impact on student outcomes varies depending on the criteria used for evaluation. The present study investigated the consequences of out-of-field teaching in science on different student outcomes on an international scale. Analyses were based on the sixth cycle of…

In this study, we take a critical look at the degree to which the measurement of bullying and sense of belonging at school is invariant across groups of students defined by immigrant status. Our study focuses on the invariance of these constructs as measured on a recent PISA administration and includes a discussion of two statistical methods for…

Questionnaires are by far the most common tool for measuring noncognitive constructs in psychology and educational sciences. Response bias may pose an additional source of variation between respondents that threatens validity of conclusions drawn from questionnaire data. We present a mixture modeling approach that leverages response time data from…