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Liat Shklarski; Kathleen Ray – Journal of Teaching in Social Work, 2024
Artificial intelligence has evolved since its inception in the 1950s, resulting in the creation of large language models that are trained on extensive data sets to understand and generate content, such as OpenAI's ChatGPT, which launched in November 2022. Modern technology that is easy to access and free to use, like ChatGPT, is changing the…
Descriptors: Social Work, Counselor Training, Artificial Intelligence, Computer Software
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María González-Nosti; Arrate Barrenechea; Romina San Miguel-Abella; María del Carmen Pérez-Sánchez; Lucía Fernández-Manzano; Ainhoa Ramírez-Arjona; Noelia Rodríguez-Pérez; Elena Herrera – International Journal of Language & Communication Disorders, 2024
Background: Although considerable research has been conducted on post-COVID-19 syndrome (PCS), cognitive symptoms, particularly those related to language, are still not well understood. Aims: To provide a detailed quantitative and qualitative analysis of language performance in PCS patients using a comprehensive set of semantic and verbal…
Descriptors: COVID-19, Pandemics, Symptoms (Individual Disorders), Cognitive Ability
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Raúl Alberto Garcia Castro; Nikole Alexandra Mayta Cachicatari; Willian Máximo Bartesaghi Aste; Martín Pedro Llapa Medina – Contemporary Educational Technology, 2024
The introduction of ChatGPT into basic education is progressing rapidly, generating impacts that, in many cases, are unknown. Its impressive capability profiles it as a tool that will revolutionize teaching and learning processes, creating gaps that need to be understood and evaluated. The research aims to explore the advantages, disadvantages,…
Descriptors: Artificial Intelligence, Natural Language Processing, Foreign Countries, Technology Uses in Education
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Jie Zhang – International Journal of Information and Communication Technology Education, 2024
This paper explores the development of an intelligent translation system for spoken English using Recurrent Neural Network (RNN) models. The fundamental principles of RNNs and their advantages in processing sequential data, particularly in handling time-dependent natural language data, are discussed. The methodology for constructing the…
Descriptors: Oral Language, Translation, Computational Linguistics, Computer Software
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Mohammed Estaiteyeh; Ruth McQuirter – Brock Education: A Journal of Educational Research and Practice, 2024
Despite existing research on AI applications in education (AIEd), the release of ChatGPT has disrupted the status quo in the educational landscape. Although this technology can personalize learning, decrease teacher workload, and offer access to a wealth of information, concerns around generative AI (GenAI) tools have emerged, including academic…
Descriptors: Artificial Intelligence, Technology Uses in Education, Preservice Teacher Education, Reflection
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Kason Ka Ching Cheung; Jack K. H. Pun; Wangyin Li – Research in Science Education, 2024
ChatGPT becomes a prominent tool for students' learning of science when students "read" its scientific texts. Students read to learn about climate change misinformation using ChatGPT, while they develop critical awareness of the content, linguistic features as well as nature of AI and science to comprehend these texts. In this…
Descriptors: Artificial Intelligence, Natural Language Processing, Man Machine Systems, Secondary School Students
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Sorin Valcea; Maria Riaz Hamdani; Shuai Wang – Journal of Management Education, 2024
This essay explores the nuanced impact of generative AI technologies on management and business education, framed through three paradoxes: the "Expertise Paradox" suggests that AI's adequate performance at lower-level tasks may weaken students' development of higher-level thinking; the "Innovation Paradox" states that AI's…
Descriptors: Artificial Intelligence, Natural Language Processing, Business Administration Education, Technology Uses in Education
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Dannielle Hibshman; Ellyn A. Riley – Journal of Speech, Language, and Hearing Research, 2024
Purpose: Persons with aphasia (PWA) experience differences in attention after stroke, potentially impacting cognitive/language performance. This secondary analysis investigated physiologically measured vigilant attention during linguistic and nonlinguistic processing in PWA and control participants. Method: To evaluate performance and attention in…
Descriptors: Cognitive Processes, Language Processing, Aphasia, Attention
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Jacob Holster – Music Educators Journal, 2024
ChatGPT is emerging as a formidable asset for music educators, poised to enhance student engagement, refine assessment methods, and automate repetitive tasks related to music teaching. The core of this perspective revolves around the use of custom prompt templates that support individualized and reflexive teaching practices. The broader…
Descriptors: Music Education, Artificial Intelligence, Natural Language Processing, Man Machine Systems
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Thi Thuy An Ngo; Gia Khuong An; Phuong Thy Nguyen; Thanh Tu Tran – Journal of Information Technology Education: Research, 2024
Aim/Purpose: The main goal of this study is to investigate the factors affecting students' satisfaction and continuous usage of ChatGPT in an educational context, using the Expectation-Confirmation Model (ECM) as the theoretical framework. Specifically, this investigation focuses on identifying how user expectations, perceived usefulness, and…
Descriptors: Student Satisfaction, Learner Engagement, Sustainability, Artificial Intelligence
Nancy Mather – Communique, 2024
Over the last few decades, several definitions of dyslexia have centered on phonological awareness as the sole linguistic risk factor for developing dyslexia. Although difficulties with the acquisition and application of speech sounds can affect reading and spelling development, additional factors can as well and are included in other…
Descriptors: Dyslexia, Disability Identification, At Risk Persons, School Psychologists
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Greeni Maheshwari – Education and Information Technologies, 2024
ChatGPT, an extensively recognised language model created by OpenAI, has gained significant prominence across various industries, particularly in education. This study aimed to investigate the factors that influence students' intentions to adopt and utilise ChatGPT for their academic studies. The study used a Structural Equation Model (SEM) for…
Descriptors: Influences, Intention, Artificial Intelligence, Natural Language Processing
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Anna Gavarró; Alejandra Keidel – First Language, 2024
This study delves into the syntactic parsing abilities of children and infants exposed to Catalan as their first language. Focusing first on ages 3 to 6, we conducted two sentence-picture matching tasks. In experiment 1, 3 to 4-year-old children failed in identifying singular third-person subjects within null-subject sentences, although they…
Descriptors: Grammar, Syntax, Infants, Preschool Children
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Donald M. Johnson; Will Doss; Christopher M. Estepp – Journal of Research in Technical Careers, 2024
A posttest-only control group experimental design compared novice Arduino programmers who developed their own programs (self-programming group, n = 17) with novice Arduino programmers who used ChatGPT 3.5 to write their programs (ChatGPT-programming group, n = 16) on the dependent variables of programming scores, interest in Arduino programming,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Natural Language Processing, Novices
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Holly Robson; Harriet Thomasson; Matthew H. Davis – International Journal of Language & Communication Disorders, 2024
Background: The use of telepractice in aphasia research and therapy is increasing in frequency. Teleassessment in aphasia has been demonstrated to be reliable. However, neuropsychological and clinical language comprehension assessments are not always readily translatable to an online environment and people with severe language comprehension or…
Descriptors: Aphasia, Severity (of Disability), Videoconferencing, Comparative Analysis
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