Single-case designs substantiate the effectiveness of interventions for people with disabilities and other populations through the repeated measurement of behavior over time. Consequently, employing accurate and reliable systems of measurement is critical to the validity of single-case designs. Much of the data in single-case research are…

Background: Since it was first launched, ChatGPT, a Large Language Model (LLM), has been widely used across different disciplines, particularly the medical field. Objective: The main aim of this review is to thoroughly assess the performance of the distinct version of ChatGPT in subspecialty written medical proficiency exams and the factors that…

Presented study seeks to examine the potential applications of the OpenAI language model, GPT-3, within the realm of education. Specifically, the inquiry focuses on the feasibility of utilizing GPT-3 to generate essays based on customized prompts. To this end, the experimentation involved providing GPT-3 with tailored prompts derived from diverse…

Purpose: ChatGPT is a generative artificial intelligence (AI) technology that can solve multiple complex tasks. ChatGPT-4 can facilitate educational empowerment in China through technology to understand and generate Chinese text. Although ChatGPT's benefits have been widely discussed, its educational capabilities have not been systematically…

This study investigated the efficacy of two distinct virtual training platforms, TeachLivE™ and Zoom with actors, in preparing preservice practitioners for behavior management in real-world settings. This exploratory study aimed to investigate individual participant skill acquisition and assess which platform better equipped participants with the…

The current study examined the effectiveness of a reading curriculum of explicit instruction on the letter-sound knowledge of a sample of elementary-aged students with Down syndrome. The procedures were adapted from prior research (King et al., 2020; Lemons et al., 2018; Lemons et al., 2015). Three participants between 9 and 11 years old…

Korean learners of English are known to repair consonant clusters, which are not allowed in their native language, with an epenthetic vowel [close central unrounded vowel]. The purpose of the present study is to examine whether the perception-production link of such an illusory vowel in a second language (L2) is only within and not across…

Purpose: Childhood apraxia of speech (CAS) is a multivariate motor speech disorder that requires a motor-based intervention approach. There is limited treatment research on young children with CAS, reflecting a critical gap in the literature given that features of CAS are often in full expression early in development. Dynamic Temporal and Tactile…

Modifying and hedging one's claims appropriately is an important characteristic of academic writing. This study focuses on the three main English modal verbs used to express "epistemic possibility" to avoid making strong statements, viz., "may", "might", and "could". The purpose of this corpus-based study is…

Children often discuss science and nature topics in their everyday conversations with their parents; however, these conversations are not always scientifically accurate. Some researchers argue that these scientifically incorrect conversations interfere with children's learning by reinforcing children's misconceptions (Shtulman, 2017). Others argue…

Nationally, teachers have experienced major changes in how their performance is evaluated. Teacher satisfaction with the evaluation system likely influences whether they will use the evaluation data to make instructional improvements, yet we know little about teachers' perceptions of their evaluations. Using survey data from Chicago Public…

This systematic literature review investigates the fairness of machine learning algorithms in educational settings, focusing on recent studies and their proposed solutions to address biases. Applications analyzed include student dropout prediction, performance prediction, forum post classification, and recommender systems. We identify common…

Manually scoring and revising student essays has long been a time-consuming task for educators. With the rise of natural language processing techniques, automated essay scoring (AES) and automated essay revising (AER) have emerged to alleviate this burden. However, current AES and AER models require large amounts of training data and lack…

This paper extends existing work on teacher weighting in student-centered surveys by looking into aspects of practical implementation of deriving and using weights for teacher-centered analysis in the Trends in International Mathematics and Science Study (TIMSS) and the Progress in International Reading Literacy Study (PIRLS). The formal…

Children's math performance is strongly correlated with later life outcomes, but early gaps in math skills are stubbornly difficult to close. It is therefore important to identify student math needs early. Using Grade 1-3 student records from Kentucky public schools, the study finds that typically recommended cut scores for widely used early grade…