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Steven Watson; Jonathan Romic – European Educational Research Journal, 2025
This paper presents a novel contribution to the discourse surrounding Large Language Models (LLMs) like ChatGPT in relation to education and society by using systems theory. We argue that ChatGPT can be understood not just as an 'artificial' intelligence but that it is entangled in the evolution of society and therefore education. ChatGPT is a…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Role
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Louie Giray; Jonard Nemeño; Jelomil Edem – International Journal of Technology in Education, 2025
As artificial intelligence transforms education, ChatGPT has emerged as a tool for learning, reshaping how students engage with academic material. This study investigates ChatGPT's influence on student engagement among Filipino college students, focusing on self-management and intentional learning--two critical dimensions of self-directed…
Descriptors: Independent Study, Artificial Intelligence, Man Machine Systems, Natural Language Processing
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Arnon, Tamar; Lavidor, Michal – Journal of Psycholinguistic Research, 2023
Idioms entail a competition between bottom-up and top-down activations of literal and figurative meanings. The present study explored the involvement of cognitive control in processing Hebrew ambiguous idioms. Fifty subjects have completed a self-paced reading task and a response inhibition, stop-signal task (SST). Subjects read 26 matched pairs…
Descriptors: Figurative Language, Language Processing, Psycholinguistics, Ambiguity (Semantics)
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LaTourrette, Alexander; Waxman, Sandra; Wakschlag, Lauren S.; Norton, Elizabeth S.; Weisleder, Adriana – Journal of Speech, Language, and Hearing Research, 2023
Purpose: This study examines online speech processing in typically developing and late-talking 2-year-old children, comparing both groups' word recognition, word prediction, and word learning. Method: English-acquiring U.S. children, from the "When to Worry" study of language and social--emotional development, were identified as typical…
Descriptors: Toddlers, Vocabulary Development, Language Processing, Word Recognition
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Johnson, Elyce D.; Arnold, Jennifer E. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
There is extensive evidence that people are sensitive to the statistical patterns of linguistic elements at the phonological, lexical, and syntactic levels. However, much less is known about how people classify referential events and whether they adapt to the most frequent types of references. Reference is particularly complex because referential…
Descriptors: Form Classes (Languages), Language Patterns, Comprehension, Repetition
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Parks, Louisa; Peters, Wim – International Journal of Social Research Methodology, 2023
The ever-increasing application of Digital Humanities techniques to social scientific research questions calls for continuous reflection on how they can contribute to scholarly research in combination with other more common text analysis methods. This article explores the various dimensions along which scholarly text analysis can be performed,…
Descriptors: Natural Language Processing, Humanities, Social Science Research, Content Analysis
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Carter, Richard Allen, Jr.; Zhang, Ling; Hunt, Tiffany L.; Emerling, Christopher R.; Yang, Sohyun; Rujimora, James – TechTrends: Linking Research and Practice to Improve Learning, 2023
Recent developments in Conversational Agents (CAs) have offered researchers new ways to develop personalized learning support for students that is accessible in various environments. Traditionally, CA learner experiences are accessible through home devices, including Alexa Echo and Google Nest, for tasks such as setting reminders, ordering…
Descriptors: Distance Education, Educational Technology, Technology Uses in Education, Artificial Intelligence
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Bauer, Elisabeth; Greisel, Martin; Kuznetsov, Ilia; Berndt, Markus; Kollar, Ingo; Dresel, Markus; Fischer, Martin R.; Fischer, Frank – British Journal of Educational Technology, 2023
Advancements in artificial intelligence are rapidly increasing. The new-generation large language models, such as ChatGPT and GPT-4, bear the potential to transform educational approaches, such as peer-feedback. To investigate peer-feedback at the intersection of natural language processing (NLP) and educational research, this paper suggests a…
Descriptors: Peer Relationship, Feedback (Response), Artificial Intelligence, Natural Language Processing
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Rakovic, Mladen; Iqbal, Sehrish; Li, Tongguang; Fan, Yizhou; Singh, Shaveen; Surendrannair, Surya; Kilgour, Jonathan; Graaf, Joep; Lim, Lyn; Molenaar, Inge; Bannert, Maria; Moore, Johanna; Gaševic, Dragan – Journal of Computer Assisted Learning, 2023
Background: Assignments that involve writing based on several texts are challenging to many learners. Formative feedback supporting learners in these tasks should be informed by the characteristics of evolving written product and by the characteristics of learning processes learners enacted while developing the product. However, formative feedback…
Descriptors: Artificial Intelligence, Essays, High Achievement, Writing Achievement
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Haffenden, Chris; Fano, Elena; Malmsten, Martin; Börjeson, Love – College & Research Libraries, 2023
How can novel AI techniques be made and put to use in the library? Combining methods from data and library science, this article focuses on Natural Language Processing technologies, especially in national libraries. It explains how the National Library of Sweden's collections enabled the development of a new BERT language model for Swedish. It…
Descriptors: Foreign Countries, Artificial Intelligence, Models, Languages
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Joshua Matthews; Catherine Rita Volpe – Australasian Journal of Educational Technology, 2023
Artificial intelligence (AI) technology, such as Chat Generative Pre-trained Transformer (ChatGPT), is evolving quickly and having a significant impact on the higher education sector. Although the impact of ChatGPT on academic integrity processes is a key concern, little is known about whether academics can reliably recognise texts that have been…
Descriptors: Artificial Intelligence, Natural Language Processing, Identification, Teacher Attitudes
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Sayamol Panseeta; Richard Watson Todd – rEFLections, 2023
This research investigates whether there are relationships between the choices of concept reiterations and interlocutors' orientations, between the choices of concept reiterations and contexts of communication, and between affective connotations of paraphrase, interlocutors' orientations and contexts of communication. The data were collected from…
Descriptors: Concept Formation, Repetition, Language Processing, Language Usage
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Thorson, Jill C.; Franklin, Lauren R.; Morgan, James L. – Language Learning and Development, 2023
This study examined how toddler looking to a discourse referent is mediated by the information status of the referent and the pitch contour of the referring expression. Eighteen-month-olds saw a short discourse of three sets of images with the proportion of looking time to a target analyzed during the final image. At test, the information status…
Descriptors: Intonation, Suprasegmentals, Toddlers, Language Acquisition
Rachel Carter Poirier – ProQuest LLC, 2023
Reading is a fascinating cognitive process through which individuals perceive arbitrary symbols on a page and turn them into vivid mental representations of text. Most available evidence supports an embodied explanation for how readers are capable of such representations--they recruit supralinguistic brain regions in order to mentally simulate the…
Descriptors: Figurative Language, Reading Comprehension, Reading Processes, Reading Strategies
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Dominguez, Alberto; Santos, Anthea; Fu, Yang – Journal of Psycholinguistic Research, 2023
In Spanish, the plural form in plural dominant frequency pairs, like "diente/dientes" [tooth/teeth], occurs more frequently than the corresponding singular form. On the other hand, for the singular dominant frequency pairs such as "cometa/cometas" [kite/kites], the singular form is more common than the plural. The recognition…
Descriptors: Spanish, Numbers, Form Classes (Languages), Morphemes
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