The adoption of large language models (LLMs) in education holds much promise. However, like many technological innovations before them, adoption and access can often be inequitable from the outset, creating more divides than they bridge. In this paper, we explore the magnitude of the country and language divide in the leading open-source and…

This paper introduces the reader to the "Periodic Table of the World's Religious and Philosophical Traditions" (PTWRPT). It summarizes its background history, the conceptual thinking that underlies it, and explains why and how it was created. Using the same thinking that underlies Mendeleyev's Periodic Table of the Elements, it sets out…

Diagnostic classification models (DCMs) are psychometric models that can be used to estimate the presence or absence of psychological traits, or proficiency on fine-grained skills. Critical to the use of any psychometric model in practice, including DCMs, is an evaluation of model fit. Traditionally, DCMs have been estimated with maximum…

Takers of educational tests often receive proficiency levels instead of or in addition to scaled scores. For example, proficiency levels are reported for the Advanced Placement (AP®) and U.S. Medical Licensing examinations. Technical difficulties and other unforeseen events occasionally lead to missing item scores and hence to incomplete data on…

The goal of this study was to advance the conceptualization and measurement of adolescent popularity by exploring the commonly used composite score (popularity minus unpopularity). We used standardized peer nominations from 4,414 early adolescents (ages [approximately equal to] 12-14 years) from three samples collected in two countries. Popularity…

From early in development, race biases how children think about gender--often in a manner that treats Black women as less typical and representative of "women in general" than White or Asian women. The present study (N = 89, ages 7-11; predominately Hispanic, White, and multi-racial children) examined the generalizability of this…

The study aims to investigate how teacher candidates with different ideologies differ in their use of dialogic learning principles in the dialogic teaching. The design of the study is a multiple case study in qualitative research methods. The educational ideologies of teacher candidates identify the cases of the study. The data were derived from…

Successful teaching requires that student teachers acquire a conceptual understanding of teaching practices. A promising way to promote such a conceptual understanding is to provide student teachers with examples. We conducted a 3 (between-subjects factor "example format": reading, generation, classification) x 4 (within-subjects factor…

Generic language (e.g., "tigers have stripes") leads children to assume that the referenced category (e.g., tigers) is inductively informative and provides a causal explanation for the behavior of individual members. In two preregistered studies with 4- to 7-year-old children (N = 497), we considered the mechanisms underlying these…

The recent trend of embedding source code for machine learning applications also enables new opportunities in learning analytics in programming education, but which code embedding approach is most suitable for learning analytics remains an open question. A common approach to embedding source code lies in extracting syntactic information from a…

This document covers the terms used in the "Apprentice and Trainee Outcomes 2021" publication and related products. Terms are listed in alphabetical order with the following information provided for each: (1) Definition: a brief explanation of the term; (2) Classification categories: defined categories that apply to each term are listed,…

While much of the existing literature on code-switching focuses on languages that differ typologically, this dissertation focuses on typologically similar languages. Code-switching between Mandarin and Taiwanese is examined through the perspectives of 1) sociolinguistics, 2) typology, 3) phonetic and phonological production, and 4) speech…

Structural equation modeling (SEM) is a widely used technique for studies involving latent constructs. While covariance-based SEM (CB-SEM) permits estimating the regression relationship among latent constructs, the parameters governing this relationship do not apply to that among the scored values of the constructs, which are needed for…

Since the phenomenal success of deep neural networks (DNNs) on image classification, the research community have been developing wider and deeper networks with complex components for a variety of visual understanding tasks. While such "heavy" models achieve excellent performance, they pose two main challenges: (1) the training requires a…

Instruction facilitating the abstraction and transfer processes necessary for deep conceptual understanding is notoriously difficult. Individual differences in learning strategies are one possible explanation for variation in transfer outcomes. Prior work has shown that rule-abstraction learning strategies facilitate knowledge transfer better than…