Dynamic structural equation modeling (DSEM) is a useful technique for analyzing intensive longitudinal data. A challenge of applying DSEM is the missing data problem. The impact of missing data on DSEM, especially on widely applied DSEM such as the two-level vector autoregressive (VAR) cross-lagged models, however, is understudied. To fill the…

Writing is a challenging task for students in language learning. A key question in this challenge is how to exploit the potential of information technology and design effective learning strategies to promote quality writing. This is a question that Chinese teachers need to actively consider in the process of optimizing their writing instruction.…

Despite decades of research efforts, data-based instruction (DBI) for students with intensive intervention needs are not being widely used in practice as anticipated, and many educators have difficulties in implementing it. This systematic review aimed to examine what kinds of implementation drivers and strategies have been used to support…

This qualitative practice-based study explores the efficacy of reformed-based science teaching approaches in fostering meaningful student engagement within elementary science classrooms, framed within the science-as-practice paradigm. Utilizing three theoretical frameworks, the Next Generation Science Standards (NGSS) and Ambitious Science…

Diagnostic classification models (DCMs) have grown in popularity as stakeholders increasingly desire actionable information related to students' skill competencies. Longitudinal DCMs offer a psychometric framework for providing estimates of students' proficiency status transitions over time. For both cross-sectional and longitudinal DCMs, it is…

Purpose: Prospective physical education teachers (PPETs) acquire beliefs during acculturation, which is the time before teacher education begins. Beliefs are based on shared experiences and influential in PPETs' professional development. We examined German PPETs' shared beliefs through the lens of teaching quality, comprising classroom management,…

This research aimed to develop formative assessment rubrics for enhancing students' performance on Thai percussion instruments using the Many-Facet Rasch Measurement Partial Credit model (MFRM-PCM). Samples were high-school students playing four types of Thai instruments and the raters who were qualified and properly trained. The research…

The purpose of this study was to explore school-based agricultural education (SBAE) teacher beliefs about personalized instruction and blended teaching and their experiences with implementing personalized learning within their blended teaching practice. The specific research questions that guided our study were 1) What are SBAE teachers' beliefs…

This paper proposes a conceptual framework for integrating Artificial Intelligence (AI) into the curriculum. It builds on previous conceptual papers, which provided initial suggestions on integrating AI into teaching. The approach to developing the conceptual framework includes drawing on existing frameworks, AI literature, and case studies from…

The study examined how local artisans and mathematics teachers think the Akan traditional art might help senior high school students learn geometry. The Akan people live in Ashanti Region of Ghana. The study targeted experienced mathematics teachers and Akan traditional art experts. Seven experienced mathematics teachers and three craftsmen were…

Research designs that include planned missing data are gaining popularity in applied education research. These methods have traditionally relied on introducing missingness into data collections using the missing completely at random (MCAR) mechanism. This study assesses whether planned missingness can also be implemented when data are instead…

We conducted an extensive Monte Carlo study of factor-rotation local solutions (LS) in multidimensional, two-parameter logistic (M2PL) item response models. In this study, we simulated more than 19,200 data sets that were drawn from 96 model conditions and performed more than 7.6 million rotations to examine the influence of (a) slope parameter…

The product Bayes factor (PBF) synthesizes evidence for an informative hypothesis across heterogeneous replication studies. It can be used when fixed- or random effects meta-analysis fall short. For example, when effect sizes are incomparable and cannot be pooled, or when studies diverge significantly in the populations, study designs, and…

Network meta-analysis (NMA) incorporates all available evidence into a general statistical framework for comparing multiple treatments. Standard NMAs make three major assumptions, namely homogeneity, similarity, and consistency, and violating these assumptions threatens an NMA's validity. In this article, we suggest a graphical approach to…

Multicultural education is a reform movement grounded in the belief that all students should have equal opportunities to learn (Banks & Banks, 2015). Therefore, the diversity brought to educational institutions should be considered as assets not deficits. One way to accomplish cultural parity is to incorporate equity pedagogy, which occurs…