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Changyu Yang; Adam Stivers – Journal of Education for Business, 2024
The rapid advancement of artificial intelligence (AI) has given rise to sophisticated language models that excel in understanding and generating human-like text. With the capacity to process vast amounts of information, these models effectively tackle problems across diverse domains. In this paper, we present a comparative analysis of prominent AI…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Comparative Analysis
Letty Rising – Montessori Life: A Publication of the American Montessori Society, 2024
In the ever-evolving landscape of education, you have most likely experienced a significant expansion in your teaching responsibilities. Your role may have stretched to encompass being proficient in various technology platforms, nurturing the social and emotional learning of your students, and adjusting to amplified documentation requirements.…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Technology Uses in Education
Thomas St. Pierre; Jida Jaffan; Craig G. Chambers; Elizabeth K. Johnson – Cognitive Science, 2024
Adults are skilled at using language to construct/negotiate identity and to signal affiliation with others, but little is known about how these abilities develop in children. Clearly, children mirror statistical patterns in their local environment (e.g., Canadian children using "zed" instead of "zee"), but do they flexibly…
Descriptors: Language Usage, Group Membership, Vocabulary Skills, Children
Anna Koufakou – Education and Information Technologies, 2024
Student opinions for a course are important to educators and administrators, regardless of the type of the course or the institution. Reading and manually analyzing open-ended feedback becomes infeasible for massive volumes of comments at institution level or online forums. In this paper, we collected and pre-processed a large number of course…
Descriptors: Learning, Opinions, Student Attitudes, Natural Language Processing
Silvia Martínez-Ferreiro – International Journal of Language & Communication Disorders, 2024
Background: Word retrieval skills change across the lifespan. Permanent alterations in the form of decreased accuracy or increased response time can be a consequence of both normal ageing processes or the presence of acquired and neurodegenerative disorders (e.g., aphasia and dementia). Despite the extensive literature exploring the…
Descriptors: Naming, Language Processing, Aphasia, Dementia
Stefan Wöhner; Andreas Mädebach; Herbert Schriefers; Jörg D. Jescheniak – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2024
This study traced different types of distractor effects in the picture-word interference (PWI) task across repeated naming. Starting point was a PWI study by Kurtz et al. (2018). It reported that naming a picture (e.g., of a duck) was slowed down by a distractor word phonologically related to an alternative picture name from a different taxonomic…
Descriptors: Naming, Interference (Learning), Foreign Countries, College Students
Yuan Chih Fu; Jin Hua Chen; Kai Chieh Cheng; Xuan Fen Yuan – Higher Education: The International Journal of Higher Education Research, 2024
Using data from approximately 342,000 course-taking records collected from 4406 college students enrolled at Taipei Tech during the 2009-2012 academic years, we examine the impact of multidisciplinarity on students' academic performance. Our study contributes to the literature in three ways. First, by applying natural language processing (NLP), we…
Descriptors: College Students, Interdisciplinary Approach, Academic Achievement, Natural Language Processing
Cheryl Burleigh; Andrea M. Wilson – Journal of Educational Technology Systems, 2024
With the advent of readily accessible generative artificial intelligence (GAI), a concern exists within the academic community that research data collected in the context of conducting doctoral dissertation research is authentic. The purpose of the present study was to explore the role of GAI in the production of new research paying particular…
Descriptors: Artificial Intelligence, Data Collection, Doctoral Dissertations, Research Methodology
Sandra Wankmüller – Sociological Methods & Research, 2024
Transformer-based models for transfer learning have the potential to achieve high prediction accuracies on text-based supervised learning tasks with relatively few training data instances. These models are thus likely to benefit social scientists that seek to have as accurate as possible text-based measures, but only have limited resources for…
Descriptors: Social Science Research, Transfer of Training, Natural Language Processing, Artificial Intelligence
Lyla Parvez; Mahmoud Keshavarzi; Susan Richards; Giovanni M. Di Liberto; Usha Goswami – Journal of Speech, Language, and Hearing Research, 2024
Purpose: Developmental language disorder (DLD) is a multifaceted disorder. Recently, interest has grown in prosodic aspects of DLD, but most investigations of possible prosodic causes focus on speech perception tasks. Here, we focus on speech production from a speech amplitude envelope (AE) perspective. Perceptual studies have indicated a role for…
Descriptors: Children, Developmental Disabilities, Language Impairments, Imitation
Exploring Vowel Errors Produced in Nonword Repetition in Children with Speech and Language Disorders
Janet Vuolo; Taylor L. Gifford – International Journal of Language & Communication Disorders, 2024
Background: Accurate nonword repetition (NWR) is contingent on many underlying skills, including encoding, memory and motor planning and programming. Though vowel errors are frequently associated with childhood apraxia of speech (CAS), several recent studies have found that children with developmental language disorder (DLD) produce high rates of…
Descriptors: Child Language, Speech Impairments, Language Impairments, Vowels
Hosnia M. M. Ahmed; Shaymaa E. Sorour – Education and Information Technologies, 2024
Evaluating the quality of university exam papers is crucial for universities seeking institutional and program accreditation. Currently, exam papers are assessed manually, a process that can be tedious, lengthy, and in some cases, inconsistent. This is often due to the focus on assessing only the formal specifications of exam papers. This study…
Descriptors: Higher Education, Artificial Intelligence, Writing Evaluation, Natural Language Processing
Reima Al-Jarf – Online Submission, 2024
This study explores Arab university faculty's views on fully AI-generated assignments and research papers submitted by students, what reasons they give for their stance and how they react in this case. Surveys with a sample of 45 Arab instructors revealed that 98% do not accept AI-generated assignments and research papers from students at all.…
Descriptors: Assignments, Research Papers (Students), Foreign Countries, College Faculty
Lirong Tang; Yangxiaoxue Xu; Shiting Yang; Xiangyun Meng; Boqi Du; Chen Sun; Li Liu; Qi Dong; Yun Nan – Journal of Speech, Language, and Hearing Research, 2024
Purpose: Congenital amusia is a neurogenetic disorder of musical pitch processing. Its linguistic consequences have been examined separately for speech intonations and lexical tones. However, in a tonal language such as Chinese, the processing of intonations and lexical tones interacts with each other during online speech perception. Whether and…
Descriptors: Foreign Countries, Mandarin Chinese, Tone Languages, Intonation
Akvile Sinkeviciute; Julien Mayor; Mila Dimitrova Vulchanova; Natalia Kartushina – Language Learning, 2024
Color terms divide the color spectrum differently across languages. Previous studies have reported that speakers of languages that have different words for light and dark blue (e.g., Russian "siniy" and "goluboy") discriminate color chips sampled from these two linguistic categories faster than speakers of languages that use…
Descriptors: Foreign Countries, Bilingualism, Color, Visual Discrimination