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Zi Yang; Junjie Gavin Wu; Haoran Xie – Asia Pacific Journal of Education, 2025
The emergence of generative artificial intelligence (GAI) in the past two years is exerting profound effects throughout society. However, while this new technology undoubtedly promises substantial benefits, its disruptive nature also means that it poses a variety of challenges. The field of education is no exception. This position paper intends to…
Descriptors: Artificial Intelligence, Ethics, Technology Uses in Education, Natural Language Processing
Christopher Mah; Mei Tan; Lena Phalen; Alexa Sparks; Dorottya Demszky – Annenberg Institute for School Reform at Brown University, 2025
Effective writing feedback is a powerful tool for enhancing student learning, encouraging revision, and increasing motivation and agency. Yet, teachers face many challenges that prevent them from consistently providing effective writing feedback. Recent advances in generative artificial intelligence (AI) have led educators and researchers to…
Descriptors: Artificial Intelligence, Technology Uses in Education, Natural Language Processing, Writing Evaluation
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Sedat Yigit; Soner Berse; Ezgi Dirgar; Seçil Gülhan Güner – Innovations in Education and Teaching International, 2025
Artificial Intelligence (AI) has significantly impacted the field of education, particularly in health sciences, where tools such as ChatGPT are increasingly utilised. ChatGPT, powered by AI, presents both opportunities and challenges that warrant investigation. This qualitative study explored the perceptions, experiences, and expectations of…
Descriptors: Undergraduate Students, Student Attitudes, Allied Health Occupations Education, Artificial Intelligence
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Deliang Wang; Gaowei Chen – British Journal of Educational Technology, 2025
Classroom dialogue is crucial for effective teaching and learning, prompting many professional development (PD) programs to focus on dialogic pedagogy. Traditionally, these programs rely on manual analysis of classroom practices, which limits timely feedback to teachers. To address this, artificial intelligence (AI) has been employed for rapid…
Descriptors: Classroom Communication, Artificial Intelligence, Technology Uses in Education, Models
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Shilpi Taneja; Siddhartha Sankar Biswas; Bhavya Alankar; Harleen Kaur – Electronic Journal of e-Learning, 2025
This paper presents the design of a personalized learning agent powered by the Agentic RAG technique. The agent can interpret learners' queries and autonomously decide which tools should be used to generate the most suitable response. When the learner shares an Open Educational Resource (OER) they wish to learn from, the agent first breaks the…
Descriptors: Artificial Intelligence, Natural Language Processing, Open Educational Resources, Individualized Instruction
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Nihal Dulkadir Yaman – European Journal of Education, 2025
Artificial intelligence (AI) is a technology that has been used quite effectively in the 21st century and has the potential to directly affect education as well as many other fields. AI is supported in many areas such as developing skills in education, increasing the effectiveness of education and student motivation, contributing to the…
Descriptors: Preservice Teachers, Teacher Developed Materials, Artificial Intelligence, Natural Language Processing
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Southby, Lucy; Harding, Sam; Phillips, Veronica; Wren, Yvonne; Joinson, Carol – International Journal of Language & Communication Disorders, 2021
Background: Speech development requires intact and adequately functioning oral anatomy and cognitive 'speech processing' skills. There is evidence that speech input processing skills are associated with speech output problems in children not born with a cleft. Children born with cleft palate ± lip (CP±L) are at high risk of developing disordered…
Descriptors: Congenital Impairments, Language Processing, Speech Impairments, Children
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Luthra, Sahil; Magnuson, James S.; Myers, Emily B. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2021
A challenge for listeners is to learn the appropriate mapping between acoustics and phonetic categories for an individual talker. Lexically guided perceptual learning (LGPL) studies have shown that listeners can leverage lexical knowledge to guide this process. For instance, listeners learn to interpret ambiguous /s/-/[esh]/ blends as /s/ if they…
Descriptors: Listening, Language Processing, Ambiguity (Context), Phonemes
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Zhao, Licui; Kojima, Haruyuki; Yasunaga, Daichi; Irie, Koji – Journal of Psycholinguistic Research, 2023
In order to examine whether syntactic processing is a necessary prerequisite for semantic integration in Japanese, cortical activation was monitored while participants engaged in silent reading task. Congruous sentences (CON), semantic violation sentences (V-SEM), and syntactic violation sentences (V-SYN) were presented in the experiment. The…
Descriptors: Japanese, Syntax, Semantics, Brain Hemisphere Functions
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Pan, Jinger; Wang, Aiping; McBride, Catherine; Cho, Jeung-Ryeul; Yan, Ming – Scientific Studies of Reading, 2023
Purpose: The present study tested parafoveal morphological processing during sentence reading with two eye-tracking experiments, making use of an implicit measurement of morphological awareness. In Chinese and Korean, each character form typically corresponds to multiple mental lexicons, leading to morphological ambiguity. Method: Using the…
Descriptors: Morphology (Languages), Language Processing, Sentences, Eye Movements
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Quoc, Nguyen Long; Van, Le Ha – Cogent Education, 2023
Vocabulary plays a significant role in the learning process of English as a Foreign Language (EFL) students, especially undergraduates who need to read academic materials and listen to specialized lectures in English. However, retaining lexical items is still a challenging task for many EFL learners. The current study seeks to examine the…
Descriptors: Foreign Countries, Second Language Learning, English (Second Language), Constructivism (Learning)
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Kalaitzi, Christina; Panos, Spiros – International Journal of Early Years Education, 2023
This paper aims to investigate to what extent preschoolers' narrative speech can be affected by the combined use of five narrative elements: narrative framing, narrative basic structure, intertextual hero, plot subversion and image-text interaction. It presents an intervention aiming to teach these elements to an experimental group of…
Descriptors: Speech Communication, Comparative Analysis, Preschool Children, Narration
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Snekha, S.; Ayyanathan, N. – Shanlax International Journal of Education, 2023
An educational customer relationship management (CRM) Chatbot is a learner support service automation tool that enhances the human computer interaction and user experience in higher education institutions through effective online conversation and information exchange. The machine with embedded knowledge is trained to identify the sentences and…
Descriptors: Computer Software, Learning Management Systems, Educational Technology, Man Machine Systems
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Zamuner, Tania S.; Rabideau, Theresa; McDonald, Margarethe; Yeung, H. Henny – Journal of Child Language, 2023
This study investigates how children aged two to eight years (N = 129) and adults (N = 29) use auditory and visual speech for word recognition. The goal was to bridge the gap between apparent successes of visual speech processing in young children in visual-looking tasks, with apparent difficulties of speech processing in older children from…
Descriptors: Children, Adults, Listening Comprehension, Auditory Discrimination
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Wuyun, Gaowa; Zhang, Long; Wang, Kai; Wu, Yanhong – Reading and Writing: An Interdisciplinary Journal, 2023
The core of language disorders in children with autism spectrum disorder (ASD) is the loss of social function in language communication.Futher, the correct use and processing of personal pronouns is the basis of language social function. Therefore, clarifying the mechanism of processing the pronoun reference in children with ASD is a major focus…
Descriptors: Children, Autism Spectrum Disorders, Language Impairments, Form Classes (Languages)
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