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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
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
Saida Ulfa; Ence Surahman; Agus Wedi; Izzul Fatawi; Rex Bringula – Knowledge Management & E-Learning, 2025
Online assessment is one of the important factors in online learning today. An online summary assessment is an example of an open-ended question, offering the advantage of probing students' understanding of the learning materials. However, grading students' summary writings is challenging due to the time-consuming process of evaluating students'…
Descriptors: Knowledge Management, Automation, Documentation, Feedback (Response)
Ospanova Dana; Kurmanbekova Zulfiya; Shagirbayeva Bakhtigul; Turarova Aisulu; Ormanova Aigul; Turgumbayeva Nursulu; Gulnara Makhazhanova; Kurmanbekova Aigul – Eurasian Journal of Applied Linguistics, 2025
Emotiology is a growing area of interdisciplinary research and academic discourse which focuses on the linguistic manifestation of emotions. This study employs psycholinguistic methodologies to examine the rationale behind word selection in emotional communication, integrating linguacultural, psycholinguistic, structural, and comparative analyses.…
Descriptors: Psycholinguistics, Interdisciplinary Approach, Academic Language, Language Usage
Shuangjiao Wu; Mansour Amini; Omer Hassan Ali Mahfoodh – Eurasian Journal of Applied Linguistics, 2025
Research on modality shifts in English-to-Chinese courtroom translation remains limited, despite the critical role of modality in shaping legal nuance, and speaker intentionality in judicial settings. This gap is particularly consequential in high-stakes contexts such as the International Military Tribunal for the Far East (IMTFE), where…
Descriptors: Computational Linguistics, Court Litigation, Chinese, English
Celina Agostinho; Anna Gavarró; Ana Lúcia Santos – Language Acquisition: A Journal of Developmental Linguistics, 2025
This study examines the comprehension of verbal passives by children acquiring European Portuguese, in particular with respect to the predictions of the Universal Phase Requirement (UPR) and the Universal Freezing Hypothesis (UFH) regarding children's performance with different types of predicates. Both hypotheses entail the prediction that…
Descriptors: Verbs, Grammar, Portuguese, Language Universals
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
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
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
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
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
Ibrahim Abba Mohammed; Ahmed Bello; Bala Ayuba – Education and Information Technologies, 2025
In spite of the emergence of studies seeking to integrate chatbot into education, there is a wide literature gap in the Nigerian contexts. While most studies focus on the design and development of chatbots, there exists a very scarce literature on the effect of ChatGPT chatbot on students' achievement. To address this gap, this study checked the…
Descriptors: Natural Language Processing, Artificial Intelligence, Academic Achievement, Computer Science Education
Michael A. Alsop; Tarrylton Dunn; Dane Howell – Update: Applications of Research in Music Education, 2025
This research-to-resource article proposes and supports the application of sound-to-symbol approaches within the 5E instructional model to teach musical concepts experientially in beginning band settings. Drawing upon insights from music education scholars and pedagogues advocating for a shift toward sound-first approaches, the article explores…
Descriptors: Music Education, Music Activities, Teaching Methods, Constructivism (Learning)
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