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Shang Jiang – Journal of Psycholinguistic Research, 2024
It has been well documented that formulaic language (such as collocations; e.g., "provide information") enjoys a processing advantage over novel language (e.g., "compare information"). In natural language use, however, many formulaic sequences are often inserted with words intervening in between the individual constituents…
Descriptors: Phrase Structure, Language Processing, Psycholinguistics, Orthographic Symbols
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Kathryn E. Prescott; Kimberly Crespo; Susan Ellis Weismer – Journal of Autism and Developmental Disorders, 2024
"Purpose:" ASD is associated with relative strengths in the visuospatial domain but varying abilities in the linguistic domain. Previous studies suggest parallels between spatial language and spatial cognition in older autistic individuals, but no research to date has examined this relationship in young autistic children. Therefore, the…
Descriptors: Preschool Children, Autism Spectrum Disorders, Spatial Ability, Cognitive Ability
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Hung Manh Nguyen; Daisaku Goto – Education and Information Technologies, 2024
The proliferation of artificial intelligence (AI) technology has brought both innovative opportunities and unprecedented challenges to the education sector. Although AI makes education more accessible and efficient, the intentional misuse of AI chatbots in facilitating academic cheating has become a growing concern. By using the indirect…
Descriptors: Academic Achievement, Cheating, Student Behavior, Artificial Intelligence
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Margaret Bearman; Joanna Tai; Phillip Dawson; David Boud; Rola Ajjawi – Assessment & Evaluation in Higher Education, 2024
Generative artificial intelligence (AI) has rapidly increased capacity for producing textual, visual and auditory outputs, yet there are ongoing concerns regarding the quality of those outputs. There is an urgent need to develop students' evaluative judgement - the capability to judge the quality of work of self and others - in recognition of this…
Descriptors: Evaluative Thinking, Skill Development, Artificial Intelligence, Technology Uses in Education
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Breanne D. Yerkes; Christina M. Vanden Bosch der Nederlanden; Julie F. Beasley; Erin E. Hannon; Joel S. Snyder – Journal of Autism and Developmental Disorders, 2024
Purpose: Processing real-world sounds requires acoustic and higher-order semantic information. We tested the theory that individuals with autism spectrum disorder (ASD) show enhanced processing of acoustic features and impaired processing of semantic information. Methods: We used a change deafness task that required detection of speech and…
Descriptors: Acoustics, Semantics, Language Processing, Auditory Perception
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Jennifer Campbell; Katie Ansell; Tim Stelzer – Physical Review Physics Education Research, 2024
Recent advances in publicly available natural language processors (NLP) may enhance the efficiency of analyzing student short-answer responses in physics education research (PER). We train a state-of-the-art NLP, IBM's Watson, and test its agreement with human coders using two different studies that gathered text responses in which students…
Descriptors: Artificial Intelligence, Physics, Natural Language Processing, Computer Uses in Education
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Jian Liao; Linrong Zhong; Longting Zhe; Handan Xu; Ming Liu; Tao Xie – IEEE Transactions on Learning Technologies, 2024
ChatGPT has received considerable attention in education, particularly in programming education because of its capabilities in automated code generation and program repairing and scoring. However, few empirical studies have investigated the use of ChatGPT to customize a learning system for scaffolding students' computational thinking. Therefore,…
Descriptors: Scaffolding (Teaching Technique), Thinking Skills, Computation, Artificial Intelligence
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Song Yang; Ying Dong; Zhong Gen Yu – International Journal of Information and Communication Technology Education, 2024
AI chatbots, e.g. ChatGPT, are becoming increasingly popular in education as a means to enhance student learning experiences and improve teaching efficiency. This study utilizes NVivo 12 Plus to examine the role of AI chatbots in education, ethical considerations, and sentimental analysis regarding the utilization of ChatGPT in education. ChatGPT…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Ethics
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Debbie Rohwer – Update: Applications of Research in Music Education, 2024
In this research-to-resource article, I introduce possible uses of ChatGPT, an artificial intelligence chatbot developed by OpenAI, for music education research settings. I discuss the impacts of artificial intelligence on education environments and highlight uses of ChatGPT as a tool, including the role of ChatGPT in information gathering,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Natural Language Processing, Music Education
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Jared Vasil; Dayna Price; Michael Tomasello – Child Development, 2024
The current study investigated whether age-related changes in the conceptualization of social groups influences interpretation of the pronoun we. Sixty-four 2- and 4-year-olds (N = 29 female, 50 White-identifying) viewed scenarios in which it was ambiguous how many puppets performed an activity together. When asked who performed the activity, a…
Descriptors: Child Development, Preschool Children, Age Differences, Morphemes
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Mohammadreza Farrokhnia; Seyyed Kazem Banihashem; Omid Noroozi; Arjen Wals – Innovations in Education and Teaching International, 2024
ChatGPT is an AI tool that has sparked debates about its potential implications for education. We used the SWOT analysis framework to outline ChatGPT's strengths and weaknesses and to discuss its opportunities for and threats to education. The strengths include using a sophisticated natural language model to generate plausible answers,…
Descriptors: Artificial Intelligence, Synchronous Communication, Computer Software, Technology Uses in Education
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Mia Allen; Usman Naeem; Sukhpal Singh Gill – IEEE Transactions on Education, 2024
Contributions: In this article, a generative artificial intelligence (AI)-based Q&A system has been developed by integrating information retrieval and natural language processing techniques, using course materials as a knowledge base and facilitating real-time student interaction through a chat interface. Background: The rise of advanced AI…
Descriptors: Artificial Intelligence, Technology Uses in Education, Information Retrieval, Natural Language Processing
Kelsey Hammond; Chelsey Barber – Phi Delta Kappan, 2024
A mastery-based learning model has limited value in secondary English classrooms, particularly as it relates to writing instruction. Kelsey Hammond and Chelsey Barber argue against the focus on standardized benchmarks that are tied to mastery-based models in favor of an approach to writing that is explorative, personal, and imaginative. The rise…
Descriptors: Mastery Learning, Secondary Education, Writing Instruction, Artificial Intelligence
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Yuan Gao; Xuechun Wang; Xu Liu – Journal of Studies in International Education, 2024
The productivity of a specific research field hinges on the periodic examination of both the knowledge produced and the knowledge production activities. By harnessing the strength of traditional bibliometric analyses and a variety of Natural language processing (NLP) techniques, this study portrayed a holistic landscape of higher education…
Descriptors: Natural Language Processing, Higher Education, Bibliometrics, Global Approach
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Olga Riezina; Larysa Yarova – Turkish Journal of Education, 2024
The aim of this study was to share our experience of developing a digital Natural Language Processing Tool and its implementation in the process of training future linguists. In this article, we demonstrate the process of creating the web application SENTIALIZER, which is a multilingual Sentiment Analysis Tool developed with the help of the Python…
Descriptors: Foreign Countries, Undergraduate Students, Linguistics, Technology Uses in Education
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