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Bruce A. Craft – Research Issues in Contemporary Education, 2024
This paper addresses the pedagogical implications of incorporating ChatGPT into the college English classroom specifically and, more broadly, into any college course with a focus on writing and research. Historically, advances in technology in the college classroom have characteristically promoted two juxtaposed reactions: relief and anxiety.…
Descriptors: Artificial Intelligence, Natural Language Processing, English Instruction, Writing Instruction
Ekaterina Andreevna Khlystova – ProQuest LLC, 2024
This dissertation investigates the interaction of developing extralinguistic cognitive systems with early language learning and processing through the case study of verb argument structure. The interaction of these systems with the linguistic system underpins fundamental theories of language learning and use: language does not exist in isolation.…
Descriptors: Cognitive Processes, Language Acquisition, Language Processing, Verbs
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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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Paul Deane; Duanli Yan; Katherine Castellano; Yigal Attali; Michelle Lamar; Mo Zhang; Ian Blood; James V. Bruno; Chen Li; Wenju Cui; Chunyi Ruan; Colleen Appel; Kofi James; Rodolfo Long; Farah Qureshi – ETS Research Report Series, 2024
This paper presents a multidimensional model of variation in writing quality, register, and genre in student essays, trained and tested via confirmatory factor analysis of 1.37 million essay submissions to ETS' digital writing service, Criterion®. The model was also validated with several other corpora, which indicated that it provides a…
Descriptors: Writing (Composition), Essays, Models, Elementary School Students
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Dabae Lee; Taekwon Son; Sheunghyun Yeo – Journal of Computer Assisted Learning, 2025
Background: Artificial Intelligence (AI) technologies offer unique capabilities for preservice teachers (PSTs) to engage in authentic and real-time interactions using natural language. However, the impact of AI technology on PSTs' responsive teaching skills remains uncertain. Objectives: The primary objective of this study is to examine whether…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Preservice Teachers
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Jaurès S. H. Kameni; Bernabé Batchakui; Roger Nkambou – International Journal of Artificial Intelligence in Education, 2025
The majority of Sub-Saharan African countries are facing a very negative teacher-learner ratio: one teacher for over 120 learners. In order to support the learner training, we propose optimizing search engines for learning contexts, to enable learners to take optimal advantage of the vast reservoir of Open Educational Resources (OER) available on…
Descriptors: Foreign Countries, Teacher Shortage, Open Educational Resources, Computer Assisted Instruction
Sina Rismanchian; Eesha Tur Razia Babar; Shayan Doroudi – Annenberg Institute for School Reform at Brown University, 2025
In November 2022, OpenAI released ChatGPT, a groundbreaking generative AI chatbot backed by large language models (LLMs). Since then, these models have seen various applications in education, from Socratic tutoring and writing assistance to teacher training and essay scoring. Despite their widespread use among high school and college students in…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Undergraduate Students
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Ellana Black; Kristen Betts – Impacting Education: Journal on Transforming Professional Practice, 2025
This convergent mixed methods research study investigated how a small, non-representative sample of Educational Doctorate (EdD) faculty perceive and use generative AI and how they have leveraged the technology to support EdD students. A cross-sectional survey was used to gather data from 27 EdD faculty members to assess their generative AI…
Descriptors: Doctoral Programs, Education Majors, College Faculty, Artificial Intelligence
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Hanadi Aldreabi; Nisreen Kareem Salama Dahdoul; Mohammad Alhur; Nidal Alzboun; Najeh Rajeh Alsalhi – Electronic Journal of e-Learning, 2025
The examination of the impact of Generative AI (GenAI) on higher education, especially from the viewpoint of students, is gaining significance. Although prior research has underscored GenAI's potential advantages in higher education, there exists a discernible research gap concerning the determinants that affect its adoption. In the present study,…
Descriptors: Student Behavior, Artificial Intelligence, Natural Language Processing, Technology Uses in Education
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Julia Jochim; Vera Kristina Lenz-Kesekamp – Information and Learning Sciences, 2025
Purpose: Large language models such as ChatGPT are a challenge to academic principles, calling into question well-established practices, teaching and exam formats. This study aims to explore the adaptation process regarding text-generative artificial intelligence (AI) of students and teachers in higher education and to identify needs for change.…
Descriptors: Artificial Intelligence, Student Needs, Higher Education, Technology Uses in Education
Noriko Iwashita; Phung Dao; Mai Xuan Nhat Chi Nguyen – Multilingual Matters, 2025
This book provides an overview and analysis of the role that classroom interaction plays in instructed second language acquisition. The authors synthesise current state-of-the-art research on how classroom interaction benefits L2 learning through the lens of three theoretical perspectives: cognitive-interactionist (with a focus on how…
Descriptors: Second Language Learning, Second Language Instruction, Socialization, Language Usage
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Jesse, Alexandra – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2021
Speakers vary in their pronunciations of the sounds in their native language. Listeners use lexical knowledge to adjust their phonetic categories to speakers' idiosyncratic pronunciations. Lexical information can, however, be inconclusive or become available too late to guide this phonetic retuning. Sentence context is known to affect lexical…
Descriptors: Pronunciation, Phonetics, Sentences, Language Processing
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Chabal, Sarah; Hayakawa, Sayuri; Marian, Viorica – Cognitive Research: Principles and Implications, 2021
Over the course of our lifetimes, we accumulate extensive experience associating the things that we see with the words we have learned to describe them. As a result, adults engaged in a visual search task will often look at items with labels that share phonological features with the target object, demonstrating that language can become activated…
Descriptors: Individual Differences, Visual Perception, Task Analysis, Phonology
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Kurosu, Atsuko; Pratt, Sheila R.; Palmer, Catherine; Shaiman, Susan – Journal of Speech, Language, and Hearing Research, 2021
Purpose: During videofluoroscopic examination of swallowing, patients commonly are instructed to hold a bolus in their mouth until they hear a verbal instruction to swallow, which usually consists of the word "swallow" and is commonly referred to as the command swallow condition. The language-induced motor facilitation theory suggests…
Descriptors: Language Processing, Human Body, Motor Reactions, Young Adults
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Chapman, Laura Roche; Hallowell, Brooke – Journal of Speech, Language, and Hearing Research, 2021
Purpose: Pupillary responses captured via pupillometry (measurement of pupillary dilation and constriction during the performance of a cognitive task) are psychophysiological indicators of cognitive effort, attention, arousal, and resource engagement. Pupillometry may be a promising tool for enhancing our understanding of the relationship between…
Descriptors: Syntax, Language Processing, Cognitive Processes, Difficulty Level
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