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Jingwen Wang; Jinmian Yang; Chris Biemann; Xingshan Li – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
The integration of semantic information of compound words with context is a crucial aspect of reading comprehension. In two eye-tracking experiments, we used two-character and four-character Chinese lexicalized and novel compound words to investigate how Chinese readers integrate semantic information of compound words with contexts in the present…
Descriptors: Semantics, Language Processing, Eye Movements, Lexicology
Lin, Keng-Yu – ProQuest LLC, 2023
The present dissertation reports two experiments that investigate the processing of English wh-dependencies by including language-specific (experiment I) and domain-general (experiment II) factors. We looked into both event-related brain potentials (ERPs) and time-frequency representations (TFRs) of the EEG signal so as to obtain a more thorough…
Descriptors: Brain Hemisphere Functions, Diagnostic Tests, Language Processing, Language Research
Grace Man – ProQuest LLC, 2023
It is well known that persons with aphasia (PWA) demonstrate deficits in sentence processing. Specifically, many show difficulties with syntactic re-analysis, or the ability to revise one's interpretation of a sentence due to a temporary ambiguity. Emerging evidence suggests that structural priming, individuals' tendency to unconsciously re-use a…
Descriptors: Sentences, Language Processing, Aphasia, Pacing
Ahn, Hyunah – Studies in Second Language Acquisition, 2022
This study investigates how linguistic and nonlinguistic information interacts in second language (L2) sentence processing. Previous studies argued that L2 behaviors might stem from how L2 speakers rely more on one type of information over another. However, direct attempts have not been made to test the (dis)agreement of different information…
Descriptors: Second Language Learning, Language Processing, Sentences, Linguistics
Barattieri di San Pietro, Chiara; de Girolamo, Giovanni; Luzzatti, Claudio; Marelli, Marco – Journal of Psycholinguistic Research, 2022
People with schizophrenia spectrum disorders (SSD) show anomalies in language processing with respect to "who is doing what" in an action. This linguistic behavior is suggestive of an atypical representation of the formal concepts of "Agent" in the lexical representation of a verb, i.e., its thematic grid. To test this…
Descriptors: Eye Movements, Schizophrenia, Language Processing, Verbs
Anna Kamenetski – ProQuest LLC, 2022
Language is one of the essential tools used to segment the continuous stream of experience into events. In this process, the choice of words and grammar frames events in different ways. Grammatical aspect plays an important role in representing an event as a complete whole (perfective: peeled) or as a dynamic process (imperfective: was peeling).…
Descriptors: Linguistics, English, Russian, Psycholinguistics
Rui Wang; Haili Ling; Jie Chen; Huijuan Fu – International Journal of Distance Education Technologies, 2025
This study adopted the Latent Dirichlet Allocation (LDA) to extract learners' needs based on 70,145 reviews from online course designed for software design and development in China and then applied Quality Function Deployment (QFD) to map learners' differentiated needs into quality attributes. Taking national first-class courses as the…
Descriptors: Educational Improvement, Student Needs, Computer Science Education, Foreign Countries
Shamola Pramjeeth; Priya Ramgovind – New Directions for Teaching and Learning, 2025
While AI has the potential to streamline assessment development in higher education, there are concerns about its reliability, fairness, and potential to perpetuate bias. This study sought to understand the perceptions of academics and teaching and learning (T&L) specialists on the use of AI tools and large language models on assessment…
Descriptors: Artificial Intelligence, Technology Uses in Education, Natural Language Processing, Educational Assessment
Daniel Dale – New Directions for Teaching and Learning, 2025
ChatGPT and generative AI (GenAI) are disrupting students' traditional writing process. Although this development may seem novel, new technologies and writing practices have always affected the classroom, as research in composition shows. Turning to this existing scholarship, I show how composition studies provide a useful framework for thinking…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Technology Integration
Ngoc My Bui; Jessie S. Barrot – Education and Information Technologies, 2025
With the generative artificial intelligence (AI) tool's remarkable capabilities in understanding and generating meaningful content, intriguing questions have been raised about its potential as an automated essay scoring (AES) system. One such tool is ChatGPT, which is capable of scoring any written work based on predefined criteria. However,…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Automation
Sarah Levine; Sarah W. Beck; Chris Mah; Lena Phalen; Jaylen PIttman – Journal of Adolescent & Adult Literacy, 2025
Educators and researchers are interested in ways that ChatGPT and other generative AI tools might move beyond the role of "cheatbot" and become part of the network of resources students use for writing. We studied how high school students used ChatGPT as a writing support while writing arguments about topics like school mascots. We…
Descriptors: Natural Language Processing, Artificial Intelligence, Technology Uses in Education, Writing (Composition)
Eunhye Flavin; Sunghwan Hwang; Melita Morales – Journal of Teacher Education, 2025
Generative artificial intelligence (AI)-powered conversation agents such as ChatGPT are increasingly being used in teacher education. Although ChatGPT can provide ample resources for lesson planning, little attention has been paid to how teacher candidates construct prompts and evaluate AI-generated outputs in real time to develop lesson plans.…
Descriptors: Preservice Teachers, Mathematics Instruction, Lesson Plans, Natural Language Processing
Nazli Unlu Bidik – European Journal of Education, 2025
ChatGPT is one of the most popular artificial intelligence tools today. The number of users is increasing rapidly every day. ChatGPT, which is used in many fields for different purposes, has the potential to revolutionise the field of education and health. The study aims of the study is to investigate the learning experiences and expectations of…
Descriptors: Clinical Experience, Student Experience, Expectation, Obstetrics
Bryan P. Sanders – Impacting Education: Journal on Transforming Professional Practice, 2025
This essay explores the transformative concept of co-active emergence in education, where human and machine intelligence synergize to enhance learning experiences. It discusses the integration of AI in doctoral research, emphasizing collaborative efforts between humans and AI to push academic boundaries. It also addresses the challenges and…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Cooperation
Ingrid Del Valle García Carreño – European Educational Researcher, 2025
The main objective of this article is to search into the exploration of the ChatGPT trend in the field of Social Sciences, focusing on its trend and its widespread global application in the digital era. It is noted that ChatGPT is an artificial intelligence system that utilizes the GPT (Generative Pre-trained Transformer) language model developed…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Social Sciences