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Showing 91 to 105 of 702 results Save | Export
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Brady L. Nash – Reading Research Quarterly, 2024
Generative artificial intelligence (GAI) programs such as ChatGPT and other large language models are designed to engage in complex, responsive dialogues that feel like human interactions. The dialogic and responsive nature of GAI signals the potential for users to form relationships with GAI platforms or digital personalities created on these…
Descriptors: Intimacy, Interpersonal Relationship, Epistemology, Artificial Intelligence
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Christine E. Potter; Casey Lew-Williams – Journal of Child Language, 2024
We examined how noun frequency and the typicality of surrounding linguistic context contribute to children's real-time comprehension. Monolingual English-learning toddlers viewed pairs of pictures while hearing sentences with typical or atypical sentence frames ("Look at the…" vs. "Examine the…"), followed by nouns that were…
Descriptors: Child Language, Toddlers, Word Frequency, Sentences
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Ibrahim Talaat Ibrahim; Najeh Rajeh Alsalhi; Atef F. I. Abdelkader; Nidal Alzboun; Abdellateef Alqawasmi – Eurasian Journal of Applied Linguistics, 2024
Artificial intelligence (AI) has become an integral component of human existence, with individuals employing AI tools in various facets of life. Among the most significant applications of AI is its role in facilitating communication among humans. The present study focuses on the use of AI in translating a crucial type of text that falls within the…
Descriptors: Artificial Intelligence, Translation, Geography, Politics
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Salomé Do; Étienne Ollion; Rubing Shen – Sociological Methods & Research, 2024
The last decade witnessed a spectacular rise in the volume of available textual data. With this new abundance came the question of how to analyze it. In the social sciences, scholars mostly resorted to two well-established approaches, human annotation on sampled data on the one hand (either performed by the researcher, or outsourced to…
Descriptors: Computation, Social Sciences, Natural Language Processing, Artificial Intelligence
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Borja Blanco; Monika Molnar; Irene Arrieta; César Caballero-Gaudes; Manuel Carreiras – Developmental Science, 2025
Language learning is influenced by both neural development and environmental experiences. This work investigates the influence of early bilingual experience on the neural mechanisms underlying speech processing in 4-month-old infants. We study how an early environmental factor such as bilingualism interacts with neural development by comparing…
Descriptors: Brain, Cognitive Processes, Cognitive Development, Speech Communication
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Haerim Hwang – Written Communication, 2025
The use of subordination enables language users to achieve syntactic efficiency by allowing them to connect ideas in temporal/logical relation. Although the importance of subordination has been recognized in previous research on second language (L2) writing, it has been typically assessed with global indices that measure overall ratio of…
Descriptors: Second Language Learning, Writing (Composition), Form Classes (Languages), Syntax
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Sílvia Perpiñán; Michael T. Putnam – Second Language Research, 2024
This special issue revisits a classic topic in linguistic theory, A-bar movement, applied to developing and bilingual grammars. We claim that A-bar movement, or filler-gap dependencies, is still the quintessential linguistic phenomenon to illustrate the interaction between the biological endowment, the experience with language (past and present),…
Descriptors: Bilingualism, Multilingualism, Grammar, Second Language Learning
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Ailís Cournane; Mina Hirzel; Valentine Hacquard – Language Acquisition: A Journal of Developmental Linguistics, 2024
Modals (e.g., "can," "must") vary along two dimensions of meaning: "force" (i.e., possibility or necessity), and "flavor" (i.e., possibilities relative to knowledge [epistemic], goals [teleological], or rules [deontic] …). Comprehension studies show that children struggle with both force and flavor…
Descriptors: Verbs, Language Acquisition, Child Language, Definitions
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Stephanie Moore; Amir Hedayati-Mehdiabadi; Victor Law; Sung Pil Kang – TechTrends: Linking Research and Practice to Improve Learning, 2024
Early hype cycles surrounding new technologies may promote simplistic binary options of either adoption or rejection, but socio-historical analyses of technologies illuminate how they are worked into shape by human actors. Humans enact agency through many choices that result in adaptations and contextual variations. In this piece, we argue that…
Descriptors: Artificial Intelligence, Natural Language Processing, Man Machine Systems, Ethics
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Kate Cockcroft – International Journal of Multilingualism, 2024
Investigations of working memory advantages in bilinguals yield inconsistent findings. Even less is known about how the addition of languages beyond two (multilingualism) may affect working memory. Due to their experience with managing multiple languages, it is possible that multilinguals may be more practised in the use of their working memories.…
Descriptors: Short Term Memory, Multilingualism, Foreign Countries, Intelligence
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Shilan Shafiei – Language Testing in Asia, 2024
The present study aimed to develop an analytic assessment rubric for the consecutive interpreting course in the educational setting in the Iranian academic context. To this end, the general procedure of rubric development, including data preparation, selection, and refinement, was applied. The performance criteria were categorized into content,…
Descriptors: Scoring Rubrics, Translation, Language Processing, Second Languages
Erika Lynn Exton – ProQuest LLC, 2024
Code-switching (switching between languages) is a common linguistic behavior in bilingual speech directed to infants and children. In adult-directed speech (ADS), acoustic-phonetic properties of one language may transfer to the other language close to a code-switch point; for example, English stop consonants may be more Spanish-like near a switch.…
Descriptors: Cues, Acoustics, Code Switching (Language), Listening
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Patrícia Takaki; Moisés Lima Dutra – Education and Information Technologies, 2024
Much of the data produced and consumed by students, teachers, and educational managers is in textual format. Text Mining (TM) and Natural Language Processing (NLP) have been applied in the educational context in different ways. Ideally, such applications combine computational, linguistic, pedagogical, and psychological aspects. This article aims…
Descriptors: Literature Reviews, Higher Education, Distance Education, Content Analysis
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Emanuel Bylund; Steven Samuel; Panos Athanasopoulos – Language Learning, 2024
Research has shown that speakers of different languages may differ in their cognitive and perceptual processing of reality. A common denominator of this line of investigation has been its reliance on the sensory domain of vision. The aim of our study was to extend the scope to a new sense-taste. Using as a starting point crosslinguistic…
Descriptors: Foreign Countries, Language Usage, Classification, Language Processing
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Alice Watanabe – Electronic Journal of e-Learning, 2024
Artificial intelligence (AI) in higher education is a complex issue that can be discussed from many different perspectives. There is currently a great need for ethical discussions about the use of AI in universities. For example, educational researchers and teachers are already talking a lot about fairness, accountability, transparency, bias,…
Descriptors: Artificial Intelligence, Higher Education, Ethics, Technology Uses in Education
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