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Ümit Ünsal Kaya – Asian Journal of Distance Education, 2024
This article explores the multifaceted implications of integrating advanced generative AI technologies, specifically ChatGPT, into academic writing and research. It delves into the potential benefits and challenges that arise from the speculative advancements of ChatGPT, emphasizing the dual-edged nature of its capabilities. On one hand, ChatGPT…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Ethics
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Kaumudee Kodikara; Thilanka Seneviratne; Ranjan Premaratna – Advances in Health Sciences Education, 2024
Simulation is accepted as an effective method of learning procedural skills. However, the translational outcomes of skills acquired through simulation still warrants investigation. We designed this study to assess if skills laboratory training in addition to bedside learning (intervention group [IG]) would provide better learning results than…
Descriptors: Simulation, Skill Development, Medical Education, Clinical Experience
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Tevhide Kargin; Birkan Güldenoglu; Hilal Gengeç; Resat Alatli – Journal of Theoretical Educational Science, 2024
This research aimed to investigate the impact of word decoding speed and accuracy on reading comprehension in Turkish, which is characterized by a highly transparent and morphologically complex orthographic system. The study involved 160 students, half of whom were identified as poor readers, while the other half were classified as good readers.…
Descriptors: Decoding (Reading), Reading Processes, Reading Rate, Accuracy
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Sun-Joo Cho; Amanda Goodwin; Matthew Naveiras; Paul De Boeck – Grantee Submission, 2024
Explanatory item response models (EIRMs) have been applied to investigate the effects of person covariates, item covariates, and their interactions in the fields of reading education and psycholinguistics. In practice, it is often assumed that the relationships between the covariates and the logit transformation of item response probability are…
Descriptors: Item Response Theory, Test Items, Models, Maximum Likelihood Statistics
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Sun-Joo Cho; Amanda Goodwin; Matthew Naveiras; Paul De Boeck – Journal of Educational Measurement, 2024
Explanatory item response models (EIRMs) have been applied to investigate the effects of person covariates, item covariates, and their interactions in the fields of reading education and psycholinguistics. In practice, it is often assumed that the relationships between the covariates and the logit transformation of item response probability are…
Descriptors: Item Response Theory, Test Items, Models, Maximum Likelihood Statistics
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Arifi N. Waked; Hanadi Abdelsalem; Muhammad Waqar Ashraf; Maura Pilotti; Khadija El Alaoui – International Society for Technology, Education, and Science, 2024
Large Language Model (LLM) Functionalities, such as Chat Generative Pre-Trained Transformer (ChatGPT), are a form of artificial intelligence (AI) that have the ability to produce human-like writing in response to a wide array of input. As this technology has become a staple of everyday life, many educators find themselves rapidly redefining best…
Descriptors: Artificial Intelligence, Writing Tests, Plagiarism, Accuracy
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Gongola, Jennifer; Scurich, Nicholas; Lyon, Thomas D. – Applied Cognitive Psychology, 2019
The putative confession (PC) instruction (i.e., "[suspect] told me everything that happened and wants you to tell the truth") during forensic interviews with children has been shown to increase the accuracy of children's statements, but it is unclear whether adults' perceptions are sensitive to this salutary effect. The present study…
Descriptors: Childrens Attitudes, Credibility, Deception, Persuasive Discourse
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Saunders, Laura; Estell, Allison N. – Journal of Education for Library and Information Science, 2019
Copyright has an impact on nearly every aspect of the information professions, from developing collections to creating local policy and educating patrons. Given the apparent importance of copyright to information professionals, it is crucial that librarians and other information professionals be prepared for copyright-related responsibilities…
Descriptors: Copyrights, Library Education, Graduate Students, Familiarity
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Grimm, Kevin J.; Fine, Kimberly; Stegmann, Gabriela – International Journal of Behavioral Development, 2021
Modeling within-person change over time and between-person differences in change over time is a primary goal in prevention science. When modeling change in an observed score over time with multilevel or structural equation modeling approaches, each observed score counts toward the estimation of model parameters equally. However, observed scores…
Descriptors: Error of Measurement, Weighted Scores, Accuracy, Item Response Theory
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Cheng, Hung-Shao; Buchwald, Adam – Journal of Speech, Language, and Hearing Research, 2021
Purpose: Previous studies have demonstrated that speakers can learn novel speech sequences, although the content and specificity of the learned speech motor representations remain incompletely understood. We investigated these representations by examining transfer of learning in the context of nonnative consonant clusters. Specifically, we…
Descriptors: North American English, Phonemes, Transfer of Training, Perceptual Motor Learning
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Trotter, Antony S.; Banks, Briony; Adank, Patti – Journal of Speech, Language, and Hearing Research, 2021
Purpose: This study first aimed to establish whether viewing specific parts of the speaker's face (eyes or mouth), compared to viewing the whole face, affected adaptation to distorted noise-vocoded sentences. Second, this study also aimed to replicate results on processing of distorted speech from lab-based experiments in an online setup. Method:…
Descriptors: Visual Stimuli, Cues, Speech, Adjustment (to Environment)
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Holme, Thomas A. – Journal of Chemical Education, 2021
Psychologists have studied the question of what happens to naïve or intuitive concepts about science that form before accepted scientific ideas have been taught. Studies find that both the accuracy and time required to decide about the accuracy of carefully crafted statements reveal remnants of intuitive models of science. This is true even after…
Descriptors: Intuition, Scientific Literacy, Misconceptions, Scientific Concepts
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Lebersfeld, Jenna B.; Swanson, Marissa; Clesi, Christian D.; O'Kelley, Sarah E. – Journal of Autism and Developmental Disorders, 2021
The Autism Diagnostic Observation Schedule, Second Edition (ADOS-2) and the Autism Diagnostic Interview, Revised (ADI-R) have high accuracy as diagnostic instruments in research settings, while evidence of accuracy in clinical settings is less robust. This meta-analysis focused on efficacy of these measures in research versus clinical settings.…
Descriptors: Autism, Diagnostic Tests, Observation, Pervasive Developmental Disorders
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Ronzio, Luca; Campagner, Andrea; Cabitza, Federico; Gensini, Gian Franco – Journal of Intelligence, 2021
Medical errors have a huge impact on clinical practice in terms of economic and human costs. As a result, technology-based solutions, such as those grounded in artificial intelligence (AI) or collective intelligence (CI), have attracted increasing interest as a means of reducing error rates and their impacts. Previous studies have shown that a…
Descriptors: Medicine, Equipment, Clinical Diagnosis, Medical Services
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Vali, Yasaman; Yang, Bada; Olsen, Maria; Leeflang, Mariska M. G.; Bossuyt, Patrick M. M. – Research Synthesis Methods, 2021
Comparative accuracy studies evaluate the relative performance of two or more diagnostic tests. As any other form of research, such studies should be reported in an informative manner, to allow replication and to be useful for decision-making. In this study we aimed to assess whether and how components of test comparisons were reported in…
Descriptors: Comparative Analysis, Accuracy, Diagnostic Tests, Decision Making
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