Model complexity is a critical consideration when evaluating a statistical model. To quantify complexity, one can examine fitting propensity (FP), or the ability of the model to fit well to diverse patterns of data. The scant foundational research on FP has focused primarily on proof of concept rather than practical application. To address this…

Shared book reading (SBR) contributes to key developmental outcomes in children. However, little is known about how parents choose books and how those choices shape parent-child interactions. This scoping review synthesizes findings from 18 studies retrieved from five databases, focusing on three main book characteristics -- genre, format, and…

Running Records are thought to be an excellent formative assessment tool because they generate results that educators can use to make their teaching more responsive. Despite the technical nature of scoring Running Records and the kinds of important decisions that are attached to their analysis, few studies have investigated assessor accuracy. We…

This paper introduces an application of cross-classified item response theory (IRT) modeling to an assessment utilizing the embedded standard setting (ESS) method (Lewis & Cook). The cross-classified IRT model is used to treat both item and person effects as random, where the item effects are regressed on the target performance levels (target…

Forum discussions in Massive Open Online Courses (MOOCs) play a crucial role in promoting learning engagement and academic achievement. In particular, discussion topics significantly influence learners' emotional and cognitive engagement. However, the complex interrelationships among these factors remain underexplored. This study introduces an…

Although programming is often learned through formal instruction or self-paced tutorials, informal learning, for example, through publicly available online documentation, is also a significant resource for skill development among novices. However, many novices struggle to extract useful information from documentation. This work aims to answer two…

The current study examined how individuals with neurodevelopmental disorders navigate the complexities of learning within multidimensional environments marked by uncertain dimension values and without explicit guidance. Participants engaged in a game-like complex reinforcement learning task in which the stimuli dimension determining reward…

There is a rich history of examining the functions and activities of public administration through the lens of complexity theory. Arguments for training and educating public administrators in this discipline are both longstanding and highly relevant in the modern-day context. This paper seeks to add to the existing literature which explores…

The aim of the present study was to test the replicability of the text generation effect for learning with expository texts while systematically varying contextual factors that--based on extant literature--can be assumed to affect the occurrence and magnitude of the text generation effect. Seven experiments were conducted in which participants…

Background: Effective translation practice requires a profound understanding of source and target languages. Previous research acknowledges the role of context in translation, but few explore this through analysis of cognitive load translations. Purpose: This study aims to address a gap in educational research by investigating how contextual…

Cognitive load theory describes the mechanisms for the transfer of information from human working memory to long-term memory. This theory posits that increasing the number of interactive elements, such as interconnections, may increase cognitive load. This study investigates the impact of interconnections in concept maps on cognitive load,…

Human and animal behaviors are influenced by goal-directed planning or automatic habitual choices. Reinforcement learning (RL) models propose two distinct learning strategies: a model-based strategy, which is more flexible but computationally demanding, and a model-free strategy is less flexible yet computationally efficient. In the current RL…

The present study tested the hypothesis that verbal labels support category induction by providing compact hypotheses. Ninety-seven 4- to 6-year-old children (M = 63.2 months; 46 female, 51 male; 77% White, 8% more than one race, 4% Asian, and 3% Black; tested 2018) and 90 adults (M = 20.1 years; 70 female, 20 male) in the Midwestern United States…

As computer-based testing becomes more prevalent, the attention paid to response time (RT) in assessment practice and psychometric research correspondingly increases. This study explores the rate of Type I error in detecting preknowledge cheating behaviors, the power of the Kullback-Leibler (KL) divergence measure, and the L person fit statistic…

Thru-hiking is seeing an unprecedented surge in popularity in recent years, with the numbers of prospective thru-hikers only expected to continue to increase. Amidst this thru-hiking boom, this study used the Means End of Recreation Scale to determine the values and outcomes that motivate thru-hikers to hike and drive their trail selection.…