The purpose of this study is to introduce a functional approach for modeling unfolding response data. Functional data analysis (FDA) has been used for examining cumulative item response data, but a functional approach has not been systematically used with unfolding response processes. A brief overview of FDA is presented and illustrated within the…

In a time when educators are questioning whether they have the energy to embark on a leadership journey, a different way of thinking about leadership is needed. Shared leadership demonstrates a shift in thinking. Shared leadership leads schools and divisions to function with multiple leaders by accessing, at differing times, individual strengths…

This article addresses the new forms and relationships to work currently developing, in line with the upheavals of the Anthropocene. Occupational and counseling psychology are developing models that increasingly integrate systemic and contextual dimensions to understand careers and work-related issues. We propose a theoretical model…

Teacher preparation programs are geared toward preparing educators for traditional school models, which is reasonable, given that traditional models make up the lion's share of schools, but this means that the pool of talent available to alternative models might be small or nonexistent. If nontraditional schools have to essentially create their…

When designing or modifying a test, an important challenge is controlling its speededness. To achieve this, van der Linden (2011a, 2011b) proposed using a lognormal response time model, more specifically the two-parameter lognormal model, and automated test assembly (ATA) via mixed integer linear programming. However, this approach has a severe…

The study of how children learn numbers has yielded one of the most productive research programs in cognitive development, spanning empirical and computational methods, as well as nativist and empiricist philosophies. This paper provides a tutorial on how to think computationally about learning models in a domain like number, where learners take…

Recurrent event analyses have found a wide range of applications in biomedicine, public health, and engineering, among others, where study subjects may experience a sequence of event of interest during follow-up. The R package reReg offers a comprehensive collection of practical and easy-to-use tools for regression analysis of recurrent events,…

Difficulties in understanding physics concepts are often experienced by students such as in the material of regular uniform motion. This study aims to describe the mental models of first-year secondary school students on regular straight-line motion. This research utilized a case study method of 167 students at the secondary level with an average…

Multilevel factor mixture modeling (FMM) is a hybrid of multilevel confirmatory factor analysis (CFA) and multilevel latent class analysis (LCA). It allows researchers to examine population heterogeneity at the within level, between level, or both levels. This tutorial focuses on explicating the model specification of multilevel FMM that considers…

Background: The Wechsler Intelligence Scale for Children (WISC) employs a hierarchical model of general intelligence in which index scores separate out different clinically-relevant aspects of intelligence; the test is designed such that index scores are statistically independent from one another within the normative sample. Whether or not the…

Representations of diversity and otherness in cartoons offer metaphors for identity that can affect children's perceptions and attitudes towards the potential and challenges associated with various forms of disability. This contribution analyses a corpus of animations made up of feature films, series, and short films with a focus on how disability…

Theories of visual narrative comprehension have advocated for a hierarchical grammar-based comprehension mechanism, but only limited work has investigated this hierarchy. Here, we provide a computational framework inspired by computational psycholinguistics to address hierarchy in visual narratives. The predictions generated by this framework were…

A fundamental challenge in the cognitive sciences is discovering the dynamics that govern behavior. Take the example of spoken language, which is characterized by a highly variable and complex set of physical movements that map onto the small set of cognitive units that comprise language. What are the fundamental dynamical principles behind the…

Despite the benefits of integrated Science, Technology, Engineering, and Mathematics (STEM) education that have been discussed for decades; many teachers still find it challenging to implement integrated STEM education due to lacking confidence and experience. Numerous models and frameworks exist, but they tend to focus on enhancing teachers'…

Developing an adequate understanding of the nature of science includes developing an understanding of the uses and importance of models in science. General accounts of science aimed at university students, however, tend to neglect this aspect. A noticeable exception is the simple model of the key elements of a scientific result presented by Giere,…