Schools are increasingly encouraged to adopt evidence-based or evidence informed interventions and implement them using insights from implementation science. The literature relating to implementation of interventions in schools has focused largely on universal interventions, particularly for social and emotional learning (SEL), which are designed…

Data extraction is a crucial, yet labor-intensive and error-prone part of evidence synthesis. To date, efforts to harness machine learning for enhancing efficiency of the data extraction process have fallen short of achieving sufficient accuracy and usability. With the release of large language models (LLMs), new possibilities have emerged to…

Relying on multiple documents to answer questions is becoming common for both academic and personal inquiry tasks. These tasks often require students to explain phenomena by taking various causal factors that are mentioned separately in different documents and integrating them into a coherent multi-causal explanation of some phenomena. However,…

Parallel process latent growth curve mediation models (PP-LGCMMs) are frequently used to longitudinally investigate the mediation effects of treatment on the level and change of outcome through the level and change of mediator. An important but often violated assumption in empirical PP-LGCMM analysis is the absence of omitted confounders of the…

Measuring innovation is key to realizing innovation in practice. One of the primary reasons why measurement is important stems from the fundamental principle that what is measured is, in turn, what garners attention and action. Systematic measurement of innovation can enable researchers and practitioners to propose and undertake strategic…

Implementing the Blended Learning model was identified as having a major influence on achieving learning objectives in the classroom. Blended learning facilitates different times and types of student learning so students can learn according to their needs. The purpose of this study is to define the blended learning effectiveness used at MTs…

This paper applies the well-known cognitive bias of loss aversion from behavioural economics to student decisions over engagement with mathematically demanding coursework. This bias is shown to predict behaviour that is consistent with mathematics anxiety in a dynamic model of student engagement. It is shown that these forces can imply…

Assessment is viewed as an important means to understand learners' performance in the learning process. A good assessment method is based on high-quality examination questions. However, generating high-quality examination questions manually by teachers is a time-consuming task, and it is not easy for students to obtain question banks. To solve…

This study examined the visual design processes and strategies used by design experts and non-design college students when composing an infographic. All participants created an infographic on a personal computer and were asked to think aloud as they performed the task. The goal was to identify differences in the strategies utilised to produce…

The development of metaknowledge about models (MKM) and metaknowledge about the modelling process (MKP) are important in pre-service science teachers (PSTs) education. MKM refers to knowledge about the model's entities and its purposes, while MKP refers to knowledge about the components and structure of the modelling process. Assessing MKM and MKP…

This paper presents a model of recurrent multinomial sequences. Though there exists a quite considerable literature on modeling autocorrelation in numerical data and sequences of categorical outcomes, there is currently no systematic method of modeling patterns of recurrence in categorical sequences. This paper develops a means of discovering…

In recent years, educators, administrators, policymakers, and measurement experts have called for assessments that support educators in making better instructional decisions. One promising approach to measurement to support instructional decision-making is diagnostic classification models (DCMs). DCMs are flexible psychometric models that…

Although the scholarship of teaching and learning (SoTL) has been described as the signature pedagogy of educational development (a professional field focused on support for teaching and learning in higher education), there is little systematic evidence of the scale and scope of the SoTL support practices that centers for teaching and learning…

Understanding complex physiological processes is a cornerstone of medical education, and one such fundamental concept is the regulation of the glomerular filtration rate (GFR) by Starling forces. Therefore, developing a physiologically sound educational model to demonstrate these forces can significantly enhance the learning experience for…

Simulation studies are needed to investigate how many score categories are sufficient to treat ordered categorical data as continuous, particularly for bifactor models. The current simulation study aims to address such needs by investigating the performance of estimation methods in the bifactor models with ordered categorical data. Results support…