When randomized control trials are not possible, quasi-experimental methods often represent the gold standard. One quasi-experimental method is difference-in-difference (DiD), which compares changes in outcomes before and after treatment across groups to estimate a causal effect. DiD researchers often use fairly exhaustive robustness checks to…

The essence of human intelligence lies in its ability to learn continuously, accumulating past knowledge to aid in future learning and problem-solving endeavors. In contrast, the current machine learning paradigm often operates in isolation, lacking the capacity for continual learning and adaptation. This deficiency becomes apparent in the face of…

The purpose of this study was to investigate the potential relationship between student enrollment trends in elective secondary music ensembles and music ensemble teacher job turnover. Although student enrollment is widely accepted as an important concern for music educators and a crude proxy measure of music teacher quality, these normative…

The main goal of the current paper was to determine the effects of perceived school climate dimensions (leadership, relationships, professional learning-teaching climate, safety, and physical environment) on students' learning performance in upper primary schools. Correlational design consisted of structural equation modeling with mediation…

When multiple clients are collaboratively learning and training a shared model, incentives problems can arise. The clients may have different learning objectives and application domains, or they may be competitors whose participation in the learning system could reduce their competitive advantage. While collaborative learning is a powerful…

Model evaluation is a crucial step in SEM, consisting of two broad areas: global and local fit, where local fit indices are use to modify the original model. In the modification process, the modification index (MI) and the standardized expected parameter change (SEPC) are used to select the parameters that can be added to improve the fit. The…

We leverage a unique two-stage experiment that randomized access to private school vouchers across markets as well as students to estimate the revealed preference value of school choice. To do this, we estimate several choice models on data only from control markets before turning to the treatment data for model validation. This exercise reveals…

Single-case experimental designs (SCEDs) have a long history in clinical and educational disciplines. One underdeveloped area in advancing SCED design and analysis is understanding the process of how internal validity threats and operational concerns are avoided or mitigated. Two strategies to ameliorate such issues in SCED involve replication and…

Models and modelling play a critical role in science education to engage students more fully in science practices. Few studies have investigated the nature of models and modelling in integrated STEM teacher education. This study examines pre-service science teachers' (PSTs) understanding of the nature of models and modelling in a STEM methods…

One strategy to encourage college students to meet physical activity and public health guidelines is the Exercise is Medicine on Campus Initiative (EIM-OC), whose goal is to promote physical activity as a vital health sign within universities. To develop, implement, and evaluate the EIM-OC Initiative, it is critical to understand the mechanics of…

Model-Implied Instrumental Variable Two-Stage Least Squares (MIIV-2SLS) is a limited information, equation-by-equation, noniterative estimator for latent variable models. Associated with this estimator are equation-specific tests of model misspecification. One issue with equation-specific tests is that they lack specificity, in that they indicate…

The author has been influenced throughout his time in mathematics education by the work of Caleb Gattegno. Gattegno made extensive use of the word awareness whereas much educational literature from a psychological perspective talks about memory (for example, Justicia-Galiano, MartÌn-Puga, Linares & Pelegrina, 2017). This has, amongst other…

In this study, we introduced a cross-classified multidimensional nominal response model (CC-MNRM) to account for various response styles (RS) in the presence of cross-classified data. The proposed model allows slopes to vary across items and can explore impacts of observed covariates on latent constructs. We applied a recently developed variant of…

Whether machine learning algorithms effectively predict college students' course outcomes using learning management system data is unknown. Identifying students who will have a poor outcome can help institutions plan future budgets and allocate resources to create interventions for underachieving students. Therefore, knowing the effectiveness of…

The article draws on the inclusion literature and the research related to human values to develop a conceptual model addressing conditions under which social inclusion in educational settings is likely to flourish. By synthesising the fields of inquiry concerned with research on kindness, forgiveness, and peaceableness, the article suggests these…