In this paper, we develop a mixed stochastic approximation expectation-maximization (MSAEM) algorithm coupled with a Gibbs sampler to compute the marginalized maximum a posteriori estimate (MMAPE) of a confirmatory multidimensional four-parameter normal ogive (M4PNO) model. The proposed MSAEM algorithm not only has the computational advantages of…

In this paper, we develop a mixed stochastic approximation expectation-maximization (MSAEM) algorithm coupled with a Gibbs sampler to compute the marginalized maximum a posteriori estimate (MMAPE) of a confirmatory multidimensional four-parameter normal ogive (M4PNO) model. The proposed MSAEM algorithm not only has the computational advantages of…

While creativity has traditionally been linked to arts education, the importance of developing the ability to think creatively across the school curriculum has grown in prominence (James et al. 2019), reflected by its inclusion in OECD PISA 2022 for the first time (OECD, 2024). Creativity enables learners to thrive in a rapidly evolving workplace,…

This study aimed at evaluating a PISA-like reading test developed by teachers participating in the teacher training for teaching PISA-like reading. To serve this purpose, an experimental test was administered to 107 students aged 15-16 using a set of text and questions constructed according to the criteria of the PISA Reading test Level 1. Item…

Many scholars have traditionally examined features linked to students' science performance by using classical statistical methods. However, there is a dearth of research on predicting student achievements by using machine learning (ML) models in science education. We aim to address this gap using the 2006 and 2015 Program for International Student…

Profile analysis is one of the main tools for studying whether differential item functioning can be related to specific features of test items. While relevant, profile analysis in its current form has two restrictions that limit its usefulness in practice: It assumes that all test items have equal discrimination parameters, and it does not test…

Common response-time-based approaches for non-effortful response behavior (NRB) in educational achievement tests filter responses that are associated with response times below some threshold. These approaches are, however, limited in that they require a binary decision on whether a response is classified as stemming from NRB; thus ignoring…

Empirical research on teachers' professional knowledge is mostly conducted worldwide with reference to the construct 'pedagogical content knowledge' (PCK) introduced by Lee S. Shulman. In the 'Consensus Model' (CM) and the 'Refined Consensus Model' (RCM), PCK was further developed and differentiated. Nevertheless, neither PCK nor CM and RCM…

Many international large-scale assessments (ILSAs) have switched to multistage adaptive testing (MST) designs to improve measurement efficiency in measuring the skills of the heterogeneous populations around the world. In this context, previous literature has reported the acceptable level of model parameter recovery under the MST designs when the…

This paper presents a project-based learning (PjBL)/science, technology, engineering, and mathematics (STEM)-based instructional model for eigth-grade school students that integrates reverse engineering exercises and explores energy use and its transformations. The instructional model was implemented in a public school in Brazil with students aged…

Mathematics modelling is a vital competency for students of all ages. In this study, we aim to fill the research gap about valid and reliable tools for assessing and grading mathematical modeling problems, particularly those reflecting multiple steps of the modelling cycle. We present in this paper the design of a reliable and valid assessment…

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…

This paper aims to identify and compare key factors influencing US States' or an OECD country's decision to employ student test scores or test score value-added (VAM) in evaluating teacher effectiveness. Analysis using multiple linear probability model and logistic regression frameworks indicates that the use of VAM/student test scores was…

The purpose of this paper is to demonstrate and evaluate the use of "Bayesian dynamic borrowing"(Viele et al, in Pharm Stat 13:41-54, 2014) as a means of systematically utilizing historical information with specific applications to large-scale educational assessments. Dynamic borrowing via Bayesian hierarchical models is a special case…

The Programme for International Student Assessment (PISA) introduced creative thinking as an innovative domain in 2022. This paper examines the unique methodological issues in international assessments and the implications of measuring creative thinking within PISA's framework, including stratified sampling, rotated form designs, and a distinct…