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…

Automated Essay Scoring (AES) tools aim to improve the efficiency and consistency of essay scoring by using machine learning algorithms. In the existing research work on this topic, most researchers agree that human-automated score agreement remains the benchmark for assessing the accuracy of machine-generated scores. To measure the performance of…

Extensive research has demonstrated the importance of struggling reader identification in monolingual children Compton et al. ("Journal of Educational Psychology," 102, 327-340, 2010). However, very few studies have explored identification of struggling readers in bilinguals. The aim of this study was to investigate (1) the overlap of…

Adult observers are sensitive to the configuration of facial features within a face, able to distinguish between relative differences in feature spacing, and detecting deviations from typical facial appearance. How does the representation of the typical configuration of facial features develop? While there is a great deal of work describing…

Autograding short textual answers has become much more feasible due to the rise of NLP and the increased availability of question-answer pairs brought about by a shift to online education. Autograding performance is still inferior to human grading. The statistical and black-box nature of state-of-the-art machine learning models makes them…

Research has consistently demonstrated that learners are strikingly poor at metacognitively monitoring their learning and comprehension of texts. The aim of the present meta-analysis is to explore three important questions about metacomprehension: (a) To what extent can people accurately discriminate well-learned texts from less well learned ones?…

Purpose: Measures of grammatical accuracy are effective measures of children's language skills. However, many measures, such as percent grammatical utterances, were developed for children who speak General American English (GAE) and, therefore, may not be appropriate for students who speak other dialects. This study examines different scoring…

Victims of sexual violence are often punished by the legal system when their version of the incident--or fact finders' perception of their version--violates expected sexual violence schemas. We investigated the influence of sexual violence schemas on mock jurors' ability to accurately recognize facts presented in a hypothetical case. Participants…

This study seeks to compare fixed and mixed effects models for the purposes of predictive classification in the presence of multilevel data. The first part of the study utilizes a Monte Carlo simulation to compare fixed and mixed effects logistic regression and random forests. An applied examination of the prediction of student retention in the…

Background: Learning which letters correspond to which speech sounds is fundamental for learning to read. Based on previous experimental studies, we developed a serious game aiming to boost letter-speech sound (L-SS) correspondences in a motivational game environment. Objectives: The goal of this study was to determine the efficacy of this game in…

The technology company OpenAI released a generative artificial intelligence program that can create detailed written responses, write essays, poetry, code, and much more, in response to short written prompts. It had been years in the making and had been exposed to over 40 gigabytes of text, webpages, images, and other content. ChatGPT is a large…

An increasing age of respondents and cognitive impairment are usual suspects for increasing difficulties in survey interviews and a decreasing data quality. This is why survey researchers tend to label residents in retirement and nursing homes as hard-to-interview and exclude them from most social surveys. In this article, I examine to what extent…

College students in a lower-division psychology course made metacognitive judgments by predicting and postdicting performance for true-false, multiple-choice, and fill-in-the-blank question sets on each of three exams. This study investigated which question format would result in the most accurate metacognitive judgments. Extending Koriat's (1997)…

Rasch common-item equating is often used in high-stakes testing to maintain equivalent passing standards across test administrations. If unaddressed, item parameter drift poses a major threat to the accuracy of Rasch common-item equating. We compared the performance of well-established and newly developed drift detection methods in small and large…

Through time-series graphs, teachers often evaluate progress monitoring data to make both low- and high-stakes decisions for students. The construction of these graphs--specifically, the presence of an aimline and the data points per x- to y-axis ratio (DPPXYR)--may impact decisions teachers make. The purpose of this study was to evaluate the…