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Jiang, Shang; Siyanova-Chanturia, Anna – Modern Language Journal, 2023
Frequency and proficiency have been found to play an important role in second language (L2) phrasal processing. However, existing research has largely focused on English and other European languages, with other commonly used languages, such as Chinese, being largely disregarded. To fill this gap, we carried out two experiments to investigate how…
Descriptors: Second Language Learning, Language Proficiency, Chinese, Grammar
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Ramotowska, Sonia; Steinert-Threlkeld, Shane; Maanen, Leendert; Szymanik, Jakub – Cognitive Science, 2023
According to logical theories of meaning, a meaning of an expression can be formalized and encoded in truth conditions. Vagueness of the language and individual differences between people are a challenge to incorporate into the meaning representations. In this paper, we propose a new approach to study truth-conditional representations of vague…
Descriptors: Computation, Models, Semantics, Decision Making
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Adiguzel, Tufan; Kaya, Mehmet Haldun; Cansu, Fatih Kürsat – Contemporary Educational Technology, 2023
Artificial intelligence (AI) introduces new tools to the educational environment with the potential to transform conventional teaching and learning processes. This study offers a comprehensive overview of AI technologies, their potential applications in education, and the difficulties involved. Chatbots and related algorithms that can simulate…
Descriptors: Artificial Intelligence, Educational Technology, Barriers, Man Machine Systems
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Zhu, Chenjia; Sun, Meng; Luo, Jiutong; Li, Tianyi; Wang, Minhong – Knowledge Management & E-Learning, 2023
Technological advancements, particularly in the field of artificial intelligence (AI) have played an increasingly important role in transforming education. More recently, ground-breaking AI applications like ChatGPT have demonstrated the potential to bring radical changes to the educational landscape due to their capability to understand complex…
Descriptors: Artificial Intelligence, Ethics, Technology Integration, Technology Uses in Education
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Carvalho, Floran; Henriet, Julien; Greffier, Francoise; Betbeder, Marie-Laure; Leon-Henri, Dana – Journal of Education and e-Learning Research, 2023
This research is part of the Artificial Intelligence Virtual Trainer (AI-VT) project which aims to create a system that can identify the user's skills from a text by means of machine learning. AI-VT is a case-based reasoning learning support system can generate customized exercise lists that are specially adapted to user needs. To attain this…
Descriptors: Learning Processes, Algorithms, Artificial Intelligence, Programming Languages
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Yang, Tzu-Chi – Educational Technology & Society, 2023
The development of digital competence has become an important part of higher education, and digital competence assessments have attracted considerable attention and concerns. Previous studies in this area mainly focused on self-reporting and manual review methods such as questionnaires, which offer limited assessment value. To solve this issue,…
Descriptors: Artificial Intelligence, Digital Literacy, Natural Language Processing, Higher Education
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Loukusa, Soile; Gabbatore, Ilaria; Kotila, Aija R.; Dindar, Katja; Mäkinen, Leena; Leinonen, Eeva; Mämmelä, Laura; Bosco, Francesca M.; Jussila, Katja; Ebeling, Hanna; Hurtig, Tuula M.; Mattila, Marja-Leena – International Journal of Language & Communication Disorders, 2023
Background: Despite increasing knowledge of social communication skills of autistic people, the interrelatedness of different skills such as non-linguistic comprehension, social inference and empathizing skills is not much known about. A better understanding of the complex interplay between different domains of social communication helps us to…
Descriptors: Language Processing, Empathy, Autism Spectrum Disorders, Students with Disabilities
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Leung, Javier; Abramenka-Lachheb, Victoria; Sankaranarayanan, Rajagopal; Lachheb, Ahmed; Seo, Grace – TechTrends: Linking Research and Practice to Improve Learning, 2023
The purpose of this follow-up study was to investigate further the expressed needs of Instructional Designers (IDers) from a large public Facebook group. Our previous original research (Abramenka-Lachheb et al., 2021a) reported that IDers expressed needs during the pandemic in several categories, including: (1) educational technology, (2)…
Descriptors: COVID-19, Pandemics, Instructional Design, Natural Language Processing
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Vincent Bourassa Bedard; Natacha Trudeau; Andrea A. N. MacLeod – Journal of Child Language, 2023
Current understanding of word-finding (WF) difficulties in children and their underlying language processing deficit is poor. Authors have proposed that different underlying deficits may result in different profiles. The current study aimed to better understand WF difficulties by identifying difficult tasks for children with WF difficulties and by…
Descriptors: Child Language, Word Recognition, Word Lists, Difficulty Level
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Serrien, Deborah J.; O'Regan, Louise – Cognitive Research: Principles and Implications, 2022
Hemispheric lateralisation is a fundamental principle of functional brain organisation. We studied two core cognitive functions--language and visuospatial attention--that typically lateralise in opposite cerebral hemispheres. In this work, we tested both left- and right-handed participants on lexical decision-making as well as on symmetry…
Descriptors: Brain Hemisphere Functions, Language, Attention, Spatial Ability
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Abu-Zhaya, Rana; Arnon, Inbal; Borovsky, Arielle – Cognitive Science, 2022
Meaning in language emerges from multiple words, and children are sensitive to multi-word frequency from infancy. While children successfully use cues from single words to generate linguistic predictions, it is less clear whether and how they use multi-word sequences to guide real-time language processing and whether they form predictions on the…
Descriptors: Sentences, Language Processing, Semantics, Prediction
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Tessler, Michael Henry; Goodman, Noah D. – Cognitive Science, 2022
The meanings of natural language utterances depend heavily on context. Yet, what counts as context is often only implicit in conversation. The utterance "it's warm outside" signals that the temperature outside is relatively high, but the temperature could be high relative to a number of different "comparison classes": other…
Descriptors: Language Processing, Speech, Context Effect, Form Classes (Languages)
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Sturrock, Alexandra; Guest, Hannah; Hanks, Graham; Bendo, George; Plack, Christopher J.; Gowen, Emma – Autism & Developmental Language Impairments, 2022
Background and aims: Humans communicate primarily through spoken language and speech perception is a core function of the human auditory system. Among the autistic community, atypical sensory reactivity and social communication difficulties are pervasive, yet the research literature lacks in-depth self-report data on speech perception in this…
Descriptors: Auditory Perception, Autism Spectrum Disorders, Oral Language, Adults
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Frey, Aline; Barbaroux, Mylène; Dittinger, Eva; Besson, Mireille – Journal of Speech, Language, and Hearing Research, 2022
Purpose: This article aimed at investigating the neural underpinnings of music-to-language transfer effects at the pre-attentive level of processing. Method: We conducted a longitudinal experiment with a test-training-retest procedure. Non-musician adults were trained either on frequency (experimental group) or on intensity (control group) of…
Descriptors: Acoustics, Auditory Perception, Music, Brain
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Vela-Candelas, Juan; Català, Natàlia; Demestre, Josep – Journal of Psycholinguistic Research, 2022
Some theories of sentence processing make a distinction between two kinds of meaning: a linguistic meaning encoded at the lexicon (i.e., selectional restrictions), and an extralinguistic knowledge derived from our everyday experiences (i.e., world knowledge). According to such theories, the former meaning is privileged over the latter in terms of…
Descriptors: Knowledge Level, Prediction, Language Processing, Sentences
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