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Erin S. M. Matsuba; Beth A. Prieve; Emily Cary; Devon Pacheco; Angela Madrid; Elizabeth McKernan; Elizabeth Kaplan-Kahn; Natalie Russo – Journal of Autism and Developmental Disorders, 2024
This study characterizes the subcortical auditory brainstem response (speech-ABR) and cortical auditory processing (P1 and Mismatch Negativity; MMN) to speech sounds and their relationship to autistic traits and sensory features within the same group of autistic children (n = 10) matched on age and non-verbal IQ to their typically developing (TD)…
Descriptors: Correlation, Brain Hemisphere Functions, Autism Spectrum Disorders, Language Processing
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Shahid A. Choudhry; Timothy J. Muckle; Christopher J. Gill; Rajat Chadha; Magnus Urosev; Matt Ferris; John C. Preston – Practical Assessment, Research & Evaluation, 2024
The National Board of Certification and Recertification for Nurse Anesthetists (NBCRNA) conducted a one-year research study comparing performance on the traditional continued professional certification assessment, administered at a test center or online with remote proctoring, to a longitudinal assessment that required answering quarterly…
Descriptors: Nurses, Certification, Licensing Examinations (Professions), Computer Assisted Testing
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Yu-Chi Chen; Huei-Tse Hou – Journal of Educational Computing Research, 2024
Technologies like ChatGPT and other AI tools have impacted learning by giving students more chances to ask questions and explore knowledge. The inclusion of Non-Player Characters (NPCs) as scaffolding in game-based situated learning activities can have a positive impact on learning. The application of ChatGPT to role-playing has potential;…
Descriptors: Educational Games, Artificial Intelligence, Natural Language Processing, Scaffolding (Teaching Technique)
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Keith Cochran; Clayton Cohn; Peter Hastings; Noriko Tomuro; Simon Hughes – International Journal of Artificial Intelligence in Education, 2024
To succeed in the information age, students need to learn to communicate their understanding of complex topics effectively. This is reflected in both educational standards and standardized tests. To improve their writing ability for highly structured domains like scientific explanations, students need feedback that accurately reflects the…
Descriptors: Science Process Skills, Scientific Literacy, Scientific Concepts, Concept Formation
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Younglong Kim; Katherine A. Curry; Ashlyn M. Fiegener – Journal of School Administration Research and Development, 2024
Educational leaders are faced with multi-faceted dilemmas that place decision-making at the heart of their day-to-day work. For support, they often turn to collaborative networks of experienced educators, such as Project ECHO, for solutions to address challenges they encounter while working in the field. The availability of generative AI…
Descriptors: Artificial Intelligence, Natural Language Processing, Barriers, Educational Practices
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Héctor J. Pijeira-Díaz; Shashank Subramanya; Janneke van de Pol; Anique de Bruin – Journal of Computer Assisted Learning, 2024
Background: When learning causal relations, completing causal diagrams enhances students' comprehension judgements to some extent. To potentially boost this effect, advances in natural language processing (NLP) enable real-time formative feedback based on the automated assessment of students' diagrams, which can involve the correctness of both the…
Descriptors: Learning Analytics, Automation, Student Evaluation, Causal Models
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Shalva Kikalishvili – Interactive Learning Environments, 2024
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…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Opportunities
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Youngjin Lee – TechTrends: Linking Research and Practice to Improve Learning, 2024
This study investigates community sentiments and opinions regarding the use of ChatGPT in education within online user forums. Large Language Model (LLM)-based sentiment analysis was conducted on the posts and comments submitted to Teachers Subreddit, an online community for educators. The analysis revealed that the members of Teachers Subreddit…
Descriptors: Community Attitudes, Artificial Intelligence, Discourse Analysis, Computer Mediated Communication
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Leah Chambers; William J. Owen – Brock Education: A Journal of Educational Research and Practice, 2024
In postsecondary education institutions, where innovative technologies continually reshape research and pedagogical approaches, the integration of generative artificial intelligence (GenAI) tools presents promising avenues for enhancing student learning experiences. This study assesses the efficacy of integrating GenAI tools, specifically…
Descriptors: Postsecondary Education, Artificial Intelligence, Introductory Courses, Psychology
Irene Picton; Christina Clark – National Literacy Trust, 2024
Recent developments in technology have accelerated the influence of artificial intelligence (AI) on our lives. The ability of generative-AI tools such as ChatGPT, Gemini and Claude to both 'write' (generate new texts) and 'read' (e.g. summarise texts) in a human-like manner means they are set to play an increasingly important role in the literacy…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Technology Uses in Education
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Gary Lieberman – Journal of Instructional Research, 2024
Artificial intelligence (AI) first made its entry into higher education in the form of paraphrasing tools. These tools were used to take passages that were copied from sources, and through various methods, disguised the original text to avoid academic integrity violations. At first, these tools were not very good and produced nearly…
Descriptors: Artificial Intelligence, Higher Education, Integrity, Ethics
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Tzu-Yu Tai – Computer Assisted Language Learning, 2024
Intelligent personal assistants (IPAs) are a valuable tool in language learning because they provide opportunities for authentic interaction. However, their effectiveness, compared with that of human interlocutors, in facilitating second and foreign language interaction has not been explored. Therefore, this study investigated the effect of IPAs…
Descriptors: Artificial Intelligence, Natural Language Processing, English (Second Language), Second Language Learning
Reima Al-Jarf – Online Submission, 2024
Expressions of impossibility refer to events that can never or rarely happen, tasks that are difficult or impossible to perform, people or things that are of no use and things that are impossible to find. This study explores the similarities and differences between English and Arabic expressions of impossibility, and the difficulties that…
Descriptors: English (Second Language), Second Language Learning, Arabic, Translation
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Song Yi Kim; Jeong-Im Han – Second Language Research, 2024
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…
Descriptors: Correlation, Vowels, Pronunciation, English (Second Language)
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Selin Urhan; Oguzhan Gençaslan; Senol Dost – Interactive Learning Environments, 2024
ChatGPT, an artificial intelligence-supported chatbot, has become a resource in the field of education for students across various disciplines. The conversation that unfolds based on the user-generated questions and ChatGPT's responses implies the emergence of an argumentation between the student and ChatGPT. In this study, the argumentation…
Descriptors: Persuasive Discourse, Calculus, Mathematical Concepts, Artificial Intelligence
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