In this study, the accuracy of the artificial neural network (ANN) was assessed considering the uncertainties associated with the randomness of the data and the lack of learning. The Monte-Carlo algorithm was applied to simulate the randomness of the input variables and evaluate the output distribution. It has been shown that under certain…

Accounting for model misspecification in Bayesian structural equation models is an active area of research. We present a uniquely Bayesian approach to misspecification that models the degree of misspecification as a parameter--a parameter akin to the correlation root mean squared residual. The misspecification parameter can be interpreted on its…

Reweighting a distribution to minimize a distance to a target distribution is a powerful and flexible strategy for estimating a wide range of causal effects, but can be challenging in practice because optimal weights typically depend on knowledge of the underlying data generating process. In this paper, we focus on design-based weights, which do…

Determining the number of dimensions is extremely important in applying item response theory (IRT) models to data. Traditional and revised parallel analyses have been proposed within the factor analysis framework, and both have shown some promise in assessing dimensionality. However, their performance in the IRT framework has not been…

Background: Competency models provide useful frameworks for organizing learning and assessment programs, but their construction is both time intensive and subject to perceptual biases. Some aspects of model development may be particularly well-suited to automation, specifically natural language processing (NLP), which could also help make them…

Intellectual development means the growth of a child's ability to think and reason. It's about how they organize their minds, ideas and thoughts to make sense of the world they live in. The government of Vietnam requests the education sector to develop hidden competencies of students, particular young learners. This study therefore analyses…

Language proficiency diagnosis is essential to extract fine-grained information about the linguistic knowledge states and skill mastery levels of test takers based on their performance on language tests. Different from comprehensive standardized tests, many language learning apps often revolve around word-level questions. Therefore, knowledge…

Network meta-analysis (NMA) uses both direct and indirect evidence to compare the efficacy and harm between several treatments. Structural equation modeling (SEM) is a statistical method that investigates relations among observed and latent variables. Previous studies have shown that the contrast-based Lu-Ades model for NMA can be implemented in…

This quantitative correlational study dives into the heart of understanding the significance of model fidelity for implementing school threat assessment teams. The target population was instructional staff and threat assessment team members from schools in Dutchess, Putnam, and Westchester Counties in New York State that use the Comprehensive…

Student success and drop-out predictions have gained increased attention in recent years, connected to the hope that by identifying struggling students, it is possible to intervene and provide early help and design programs based on patterns discovered by the models. Though by now many models exist achieving remarkable accuracy-values, models…

Making causal claims is central to evaluation practice because we want to know the effects of a program, project, or policy. In the past decade, the conversation about establishing causal claims has become prominent (and problematic). In response to this changing conversation about causality, we argue that evaluators need to take up some new ways…

To better understand the writing skills of juvenile offenders and the components of their writing abilities, this study explored extant data from six measures of adolescents' writing skills administered upon their entrance into a juvenile justice facility. Overall, the 235 students (ages 13-16; Grades 5-11) exhibited low scores on all writing…

The purpose of the research reported in this article is to present the notion of Culture of Traits (CoTs) and to develop a 'Communicative Traits Model' (CTM) in teaching, learning, and assessing of Arabic as a first language. The ultimate goal is to create a shared vocabulary, establish a common language and build a consistent understanding of…

This study concerns a framework for designing Teaching-Learning Sequences that aims to integrate the implementation of scientific practices in the context of daily problems. Said framework consists of three stages (formulation of the design principles, instructional design and design of the learning activities). It is based on four design…

Collaboration with stakeholders throughout Asia and the Pacific is increasingly important to develop quality and relevant lifelong learning systems. Technical planning tools like qualifications frameworks aim to promote transparency around expected learning outcomes, yet education and training providers in many countries struggle to deliver on…