This study introduces an approach to estimate the uncertainty in bibliometric indicator values that is caused by data errors. This approach utilizes Bayesian regression models, estimated from empirical data samples, which are used to predict error-free data. Through direct Monte Carlo simulation--drawing many replicates of predicted data from the…

Carefully chosen picturebooks offer a developmentally appropriate medium for helping children understand even the most complex challenges. However, it may be difficult for teachers to find high-quality children's books for explaining multifaceted topics such as climate change. This study explores the contents of a set of picturebooks about climate…

Large language models are increasingly used in educational and psychological measurement activities. Their rapidly evolving sophistication and ability to detect language semantics make them viable tools to supplement subject matter experts and their reviews of large amounts of text statements, such as educational content standards. This paper…

As in other subfields of psychology, developmental science faces a long-standing problem of limited diversity in research participants. This issue especially raises concerns when researchers make unwarranted broad claims about their results, such as using generic language that implies that a finding is unvarying and applies across participants and…

Textbooks are essential learning resources for both teachers and students, but they often contain misconceptions that can affect students' understanding of key concepts, particularly in biology. Misconceptions can arise from inaccurate or incomplete information, and they may lead to incorrect conceptual understanding. The clarity and accuracy of…

Course syllabi are an important point of visibility for higher education disability services offices, lending importance to the presence and accuracy of disability and accommodations statements within them. The present study is a content analysis of course syllabi from a large Northern Virginia university from the Fall 2020 semester. Researchers…

Within the scope of this investigation, educational instruments grounded on materialist ontology were employed to undertake a semantic analysis of the concepts of cell and the mechanisms of living organisms as they appear in biology and natural science textbooks. Drawing upon the ontological categories applied to distinct biological system levels,…

Probability is a difficult concept, which is not always taught accurately. This study aims to clarify how experimental and theoretical probabilities are taught in Japanese 7th and 8th grades through a textbook analysis. We analyzed seven, government approved Japanese 7th and 8th grade textbooks each. Focusing on the definition and explanation of…

This article presents a tool for systematic consideration of the accuracy of the legal contents of publications in special education. The tool is a two-dimensional grid with one axis having three overall levels relative to legal requirements and the other axis having the three perspectives symbolized by the courtroom roles of pro-parent,…

Advances in computer science and computational linguistics have yielded new, and faster, computational approaches to structuring and analyzing textual data. These approaches perform well on tasks like information extraction, but their ability to identify complex, socially constructed, and unsettled theoretical concepts--a central goal of…

The paper presents a method for recommending augmentations against conceptual gaps in textbooks. Question Answer (QA) pairs from community question-answering (cQA) forums are noted to offer precise and comprehensive illustrations of concepts. Our proposed method retrieves QA pairs for a target concept to suggest two types of augmentations: basic…

This study addresses measurement issues around a standards-based content analysis of mathematics textbooks' coverage of standards for use in large-scale monitoring of standards implementation as proposed in a 2013 report by the National Research Council. An earlier study produced an exhaustive content analysis of textbooks using the 2012 Common…

This study investigated the impact of information density on English as a Foreign Language (EFL) listening comprehension, testing the hypothesis that listeners prioritize message understanding in information-rich discourse over grammar-focused analysis in rhetorical discourse. A quasi-experimental design was employed with 26 EFL college students,…

Recently, an awareness of the value of representation has demanded an expanded canon of texts that includes those concerning children with illnesses. Research shows that reading such texts to children with illnesses or disabilities has proven validating, comforting, and helpful in the development of a positive self-image (Goddard, 2011). This…

With the rapid advancement of generative artificial intelligence (GAI), its application in educational settings has increasingly become a focal point, particularly in enhancing students' analytical capabilities. This study examines the effectiveness of the ChatGPT prompt framework in improving text analysis skills among students, specifically…