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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)
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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
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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
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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
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
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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
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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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Maria Magdalena Stan; Cristina Dumitru; Florentina Bucuroiu – Education and Information Technologies, 2025
Understanding teachers' perspectives is essential for successful technology adoption as technology plays an increasingly important role in education. The aim of this study is to explore the nuanced dynamics of using natural language processing models such as ChatGPT in higher education settings. Understanding the complexity of teachers' attitudes…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, Technology Integration
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Eman Abdullah AlOmar – ACM Transactions on Computing Education, 2025
Large Language Models (LLMs), such as ChatGPT, have become widely popular for various software engineering tasks, including programming, testing, code review, and program comprehension. However, their impact on improving software quality in educational settings remains uncertain. This article explores our experience teaching the use of Programming…
Descriptors: Coding, Natural Language Processing, Artificial Intelligence, Computer Software
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Thinley Wangdi; Karma Sonam Rigdel; Tashi Dawa; Kinga Tshering – Issues in Educational Research, 2025
In the last two years, there has been a significant increase in research studies on ChatGPT and its role in educational assessment. However, there is no comprehensive systematic literature review (SLR) on the potential use of ChatGPT for educational assessment, particularly with a focus on its practices and limitations. To address this gap, our…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Evaluation Methods
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Chanyuan Gu; Samuel A. Nastase; Zaid Zada; Ping Li – npj Science of Learning, 2025
While evidence has accumulated to support the argument of shared computational mechanisms underlying language comprehension between humans and large language models (LLMs), few studies have examined this argument beyond native-speaker populations. This study examines whether and how alignment between LLMs and human brains captures the homogeneity…
Descriptors: Reading Comprehension, Native Language, Second Language Learning, Brain Hemisphere Functions
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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
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