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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
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)
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
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
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
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)
Xia, Xinyi; Liu, Yanping; Yu, Lili; Reichle, Erik D. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
The Chinese writing system is different from English in that individual words both comprise one to four characters and are not separated by clear word boundaries (e.g., interword spaces). These differences raise the question of how readers of Chinese know where to move their eyes to support efficient lexical processing? The widely accepted…
Descriptors: Chinese, Written Language, Eye Movements, Language Processing
Nivja H. de Jong – Language Teaching Research Quarterly, 2023
In current research into second language (L2) speaking, aspects of fluency are measured as static constructs. Averaged over a complete speaking performance, for instance, syllables per minute is calculated. Similarly, the number of pauses is calculated per minute, averaged over a complete speaking task. This paper argues, however, that we need to…
Descriptors: Speech Communication, Language Fluency, Second Language Learning, Second Language Instruction
Dianova, Vera G.; Schultz, Mario D. – Industry and Higher Education, 2023
This comment builds on the example of chat generative pretrained transformer (ChatGPT) to discuss the implications of generative AI on industry and higher education, underlining the need for more transdisciplinary digital literacy education. The release of ChatGPT has generated significant academic and professional interest and instigated a…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Industry
Ryan Daniel Budnick – ProQuest LLC, 2023
The past thirty years have shown a rise in models of language acquisition in which the state of the learner is characterized as a probability distribution over a set of non-stochastic grammars. In recent years, increasingly powerful models have been constructed as earlier models have failed to generalize well to increasingly complex and realistic…
Descriptors: Grammar, Feedback (Response), Algorithms, Computational Linguistics
van Hell, Janet G. – Language Learning, 2023
The past decades have seen an explosion of research using electrophysiological or neuroimaging techniques for studying the neurocognitive underpinnings of second language (L2) processing. Although this field has a shorter history than does research on language learning more generally, important insights into the neurocognitive basis of L2…
Descriptors: Second Language Learning, Second Language Instruction, Language Processing, Brain Hemisphere Functions
Fan Ouyang; Tuan Anh Dinh; Weiqi Xu – Journal for STEM Education Research, 2023
Artificial intelligence (AI), as an emerging technology, has been widely used in STEM education to promote the educational assessment. Although AI-driven educational assessment has the potential to assess students' learning automatically and reduce the workload of instructors, there is still a lack of review works to holistically examine the field…
Descriptors: Educational Assessment, Artificial Intelligence, STEM Education, Academic Achievement
Laura K. Allen; Arthur C. Grasser; Danielle S. McNamara – Grantee Submission, 2023
Assessments of natural language can provide vast information about individuals' thoughts and cognitive process, but they often rely on time-intensive human scoring, deterring researchers from collecting these sources of data. Natural language processing (NLP) gives researchers the opportunity to implement automated textual analyses across a…
Descriptors: Psychological Studies, Natural Language Processing, Automation, Research Methodology
Dragos Corlatescu; Micah Watanabe; Stefan Ruseti; Mihai Dascalu; Danielle S. McNamara – Grantee Submission, 2023
Reading comprehension is essential for both knowledge acquisition and memory reinforcement. Automated modeling of the comprehension process provides insights into the efficacy of specific texts as learning tools. This paper introduces an improved version of the Automated Model of Comprehension, version 3.0 (AMoC v3.0). AMoC v3.0 is based on two…
Descriptors: Reading Comprehension, Models, Concept Mapping, Graphs
Fei Gao; Lin Hua; Paulo Armada-da-Silva; Juan Zhang; Defeng Li; Zhiyi Chen; Chengwen Wang; Meng Du; Zhen Yuan – npj Science of Learning, 2023
While morphology constitutes a crucial component of the human language system, the neural bases of morphological processing in the human brain remains to be elucidated. The current study aims at exploring the extent to which the second language (L2) morphological processing would resemble or differ from that of their first language (L1) in adult…
Descriptors: Morphology (Languages), Bilingualism, Native Language, Adults