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Judith F. Kroll; Paola E. Dussias – Language Teaching Research Quarterly, 2024
In the history of psycholinguistics, there are traditional accounts that have been told about language learning and processing. These accounts revolve around the constraints imposed by the age of language learning and by universal principles that are assumed to be natively given. The contribution of Brian MacWhinney and his collaborators has been…
Descriptors: Transfer of Training, Bilingualism, Native Language, Second Language Learning
Mark A. Flynn – Communication Teacher, 2025
This activity prompts students to go beyond the often reductionist responses to new technologies (e.g. technological determinism) by creating a media literacy-focused infographic about the role, uses, ethical concerns, and/or impact of generative AI (e.g. ChatGPT). Sample topics have included the role of AI in specific industries (e.g. film,…
Descriptors: Artificial Intelligence, Natural Language Processing, Media Literacy, Visual Aids
Examining the Developmental Trade-Off between Phonology and Morphology in Hebrew Reading Acquisition
Rotem Yinon; Shelley Shaul – Reading and Writing: An Interdisciplinary Journal, 2025
The relative importance of phonological versus morphological processes in reading varies depending on the writing system's orthographic consistency and morphological complexity. This study investigated the interplay between phonology and morphology in Hebrew reading acquisition, a language offering a unique opportunity for such examination with…
Descriptors: Hebrew, Morphology (Languages), Phonology, Language Processing
Karin Tengler; Gerhard Brandhofer – Discover Education, 2025
Generative Artificial Intelligence (GenAI) models have grown increasingly popular among pre-service teachers (PSTs) and have become their constant companions, primarily assisting them in scientific writing. This article presents a study that investigates the differences and benefits of GenAI in the scientific writing process. Essays generated by…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Writing (Composition)
Promethi Das Deep; Yixin Chen – Higher Education Studies, 2025
The COVID-19 pandemic significantly disrupted higher education. The sudden and profound transformations it necessitated had a direct and negative impact on higher education students, as evidenced by the widely reported instances of academic disengagement, decreased motivation, and lower performance. This was often due to student burnout caused by…
Descriptors: COVID-19, Pandemics, Electronic Learning, Fatigue (Biology)
Da-Lun Chen; Kirsi Aaltonen; Hannele Lampela; Jaakko Kujala – Technology, Knowledge and Learning, 2025
The breakthrough in generative artificial intelligence (AI) has unlocked new possibilities for higher education. There are many studies on educational chatbots in the fields of science, technology, engineering, and mathematics; however, studies on designing and leveraging chatbots in a multidisciplinary field like project management have been…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Higher Education
Tobias Kohn – Journal of Computer Assisted Learning, 2025
Background: The recent advent of powerful, exam-passing large language models (LLMs) in public awareness has led to concerns over students cheating, but has also given rise to calls for including or even focusing education on LLMs. There is a perceived urgency to react immediately, as well as claims that AI-based reforms of education will lead to…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Usability
Ercenur Ünal; Kevser Kirbasoglu; Dilay Z. Karadöller; Beyza Sümer; Asli Özyürek – Cognitive Science, 2025
In spoken languages, children acquire locative terms in a cross-linguistically stable order. Terms similar in meaning to in and on emerge earlier than those similar to "front" and "behind," followed by "left" and "right." This order has been attributed to the complexity of the relations expressed by…
Descriptors: Nonverbal Communication, Cognitive Mapping, Spatial Ability, Language Processing
Surattana Adipat – Educational Process: International Journal, 2025
Background/purpose: The study examined the potential benefits and concerns of implementing ChatGPT, an advanced tool of artificial intelligence technology, in the realm of teaching and learning. Materials/methods: A systematic review was conducted, detailing the processes of inclusion and exclusion criteria, selection, data extraction, and…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Educational Practices
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
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
Toni Taipalus; Hilkka Grahn; Saima Ritonummi; Valtteri Siitonen; Tero Vartiainen; Denis Zhidkikh – ACM Transactions on Computing Education, 2025
SQL compiler error messages are the primary way users receive feedback when they encounter syntax errors or other issues in their SQL queries. Effective error messages can enhance the user experience by providing clear, informative, and actionable feedback. Despite the age of SQL compilers, it still remains largely unclear what contributes to an…
Descriptors: Computer Science Education, Novices, Information Systems, Programming Languages
Anastasia Sorokina – Multilingua: Journal of Cross-Cultural and Interlanguage Communication, 2025
Research has shown that bilingual individuals might encode autobiographical memories in either their first language (L1) or their second language (L2), depending on the language spoken at the time of the event. Although language mixing is a common occurrence among multilingual speakers, previous studies have largely overlooked mixed…
Descriptors: Psycholinguistics, Memory, Language Processing, Native Language
Rob Hirschel; Kayoko Horai – Technology in Language Teaching & Learning, 2025
With the advent of generative AI that uses large language models such as ChatGPT, it is now relatively easy to provide automated written corrective feedback in a student's native language. This paper reports on an exploratory study using a ChatGPT-powered plugin recently developed for the Moodle learning management system. The classroom…
Descriptors: Artificial Intelligence, English (Second Language), Error Correction, Writing (Composition)
Jiawei Li; Qianru Lyu; Wei Qiu; Andy W. H. Khong – International Educational Data Mining Society, 2025
Deep learning-based course recommendation systems often suffer from a lack of interpretability, limiting their practical utility for students and academic advisors. To address this challenge, we propose a modular, post-hoc explanation framework leveraging Large Language Models (LLMs) to enhance the transparency of deep learning-driven…
Descriptors: Artificial Intelligence, Information Systems, Technology Uses in Education, Course Selection (Students)

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