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Aimee Weathers; Diana Curtis – Journal of Technology and Teacher Education, 2025
The purpose of this mixed-methods study was to investigate how generative AI tools, particularly ChatGPT, impact preservice teachers' lesson plans and attitudes toward mathematics. Fifty-five undergraduate students who were enrolled in their first semester of a teacher education program participated in the study. Each student created two lesson…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Mathematics Instruction
Artificial Intelligence or Human: The Use of ChatGPT in the Academic Translation for Religious Texts
Mohammed Q. Shormani; Abdulrahaman Alfahad – SAGE Open, 2025
This article presents an empirical study investigating the ability of ChatGPT to translate religious texts involved in academic writing. Specifically, religious texts are not easy to translate even for human proficient translators. Three Arabic academic abstracts, religion-oriented, were involved in our study taken from AlQalam Journal which is…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Natural Language Processing, Arabic
Mohsin Murtaza; Chi-Tsun Cheng; Mohammad Fard; John Zeleznikow – International Journal of Artificial Intelligence in Education, 2025
As modern vehicles continue to integrate increasingly sophisticated Advanced Driver Assistance Systems (ADAS) and Autonomous Vehicles (AV) functions, conventional user manuals may no longer be the most effective medium for conveying knowledge to drivers. This research analysed conventional, paper and video-based instructional methods versus a…
Descriptors: Educational Change, Driver Education, Motor Vehicles, Natural Language Processing
Wen-Chiang Ivan Lim; Neil T. Heffernan III; Ivan Eroshenko; Wai Khumwang; Pei-Chen Chan – Grantee Submission, 2025
Intelligent tutoring systems are increasingly used in schools, providing teachers with valuable analytics on student learning. However, many teachers lack the time to review these reports in detail due to heavy workloads, and some face challenges with data literacy. This project investigates the use of large language models (LLMs) to generate…
Descriptors: Intelligent Tutoring Systems, Natural Language Processing, Assignments, Learning Management Systems
Anja Wunderlich – International Journal of Language & Communication Disorders, 2025
Background: In everyday communication, word retrieval is semantically driven. A similar processing mechanism can be assumed for category fluency tasks. In contrast, in phonemic fluency tasks or rhyme production, the retrieval process must be based on the word form. In phonemic fluency, executive and language functions have been discussed as…
Descriptors: Aphasia, Written Language, Language Skills, Language Processing
Foppolo, Francesca; Bosch, Jasmijn E.; Greco, Ciro; Carminati, Maria N.; Panzeri, Francesca – Cognitive Science, 2021
Predicates like "coloring-the-star" denote events that have a temporal duration and a culmination point ("telos"). When combined with perfective aspect (e.g., "Valeria has colored the star"), a culmination inference arises implying that the action has stopped, and the star is fully colored. While the perfective aspect…
Descriptors: Language Processing, Time, Sentences, Verbs
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
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
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
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
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
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
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
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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