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Bima Sapkota; Liza Bondurant – International Journal of Technology in Education, 2024
In November 2022, ChatGPT, an Artificial Intelligence (AI) large language model (LLM) capable of generating human-like responses, was launched. ChatGPT has a variety of promising applications in education, such as using it as thought-partner in generating curricular resources. However, scholars also recognize that the use of ChatGPT raises…
Descriptors: Cognitive Processes, Difficulty Level, Artificial Intelligence, Natural Language Processing
Wai Tong Chor; Kam Meng Goh; Li Li Lim; Kin Yun Lum; Tsung Heng Chiew – Education and Information Technologies, 2024
The programme outcomes are broad statements of knowledge, skills, and competencies that the students should be able to demonstrate upon graduation from a programme, while the Educational Taxonomy classifies learning objectives into different domains. The precise mapping of a course outcomes to the programme outcome and the educational taxonomy…
Descriptors: Artificial Intelligence, Engineering Education, Taxonomy, Educational Objectives
Leila Mirzoyeva; Zhanna Makhanova; Mona Kamal Ibrahim; Zoya Snezhko – Cogent Education, 2024
The objective of this research is to investigate the effectiveness of integrating natural language processing (NLP) technologies into an English language learning program aimed at enhancing auditory and speaking competencies. The methodology of the research is grounded in the development and testing of the intervention effectiveness of neural…
Descriptors: Foreign Countries, Undergraduate Students, Language Skills, Auditory Training
Ferdiye Çobanogullari – The EUROCALL Review, 2024
This literature review delves into the applications and implications of ChatGPT, an artificial intelligence-driven chatbot, in educational settings. As technology continues to permeate the field of education, ongoing debates persist regarding the potential impact on learners' critical thinking skills and the evolving role of educators. Instead of…
Descriptors: Artificial Intelligence, Technology Uses in Education, Natural Language Processing, Educational Strategies
Sophia Lall – ProQuest LLC, 2024
Word finding difficulty is a frequently reported subjective cognitive concern among persons with Multiple Sclerosis (pwMS). Word-finding relies on several information retrieval processes, including search and retrieval from the conceptual store, the phonological store, the syllabary, as well as other stores of information. Neuropsychological…
Descriptors: Diseases, Language Fluency, Semantics, Psycholinguistics
Jimin Kahng – Studies in Second Language Acquisition, 2024
The development of L2 utterance fluency has been extensively researched, whereas that of cognitive fluency has rarely been examined. This study investigated the longitudinal development of L2 utterance and cognitive fluency and their relationship. Thirty-one Chinese learners of English completed speaking tasks and a set of tasks for cognitive…
Descriptors: Longitudinal Studies, Language Fluency, Syntax, Language Processing
Xi Lin – Adult Learning, 2024
This study explores the potential of ChatGPT as a virtual tutor to facilitate self-directed learning (SDL) among adult learners in asynchronous online contexts. Although SDL has been identified as a critical skill, factors such as the lack of skills to find resources and the absence of a supportive learning environment could impede adult learners'…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Student Motivation
Marie Bissell – ProQuest LLC, 2024
Dialects vary in their allophonic patterns, which can affect listeners' phonological and lexical representations. I explore how different exposure to dialect-specific allophonic patterns for two vowels in American English, /ae ai/, affects listeners' lexical processing behaviors across three perception tasks: perceptual similarity, priming, and…
Descriptors: Dialects, Phonology, Contrastive Linguistics, Language Variation
Daniel L. Ofori-Addo – ProQuest LLC, 2024
During the last quarter century, the diffusion of information and communications technology (ICT) in Sub-Saharan Africa (SSA) has been shaped by noteworthy socioeconomic determinants and arguably resulted in significant socioeconomic impact. The first essay in this dissertation is an enquiry into the statistically significant socioeconomic…
Descriptors: Foreign Countries, Information Technology, Communication Skills, Socioeconomic Influences
Hadley, Pamela A. – Journal of Speech, Language, and Hearing Research, 2020
Purpose: This review article summarizes programmatic research on sentence diversity in toddlers developing language typically and explores developmental patterns of sentence diversity in toddlers at risk for specific language impairment. Method: The first half of this review article presents a sentence-focused approach to language assessment and…
Descriptors: Sentences, Toddlers, Language Impairments, Language Processing
Beck, Sara D.; Weber, Andrea – Journal of Psycholinguistic Research, 2020
In a self-paced reading study, we investigated how effects of biasing contexts in idiom processing interact with effects of idiom literality. Specifically, we tested if idioms with a high potential for literal interpretation (e.g., "break the ice") are processed differently in figuratively and literally biasing contexts than idioms with…
Descriptors: Figurative Language, Reading Rate, Reading Processes, Language Processing
Kim, Min Kyu; Gaul, Cassandra J.; Kim, So Mi; Madathany, Reeny J. – Technology, Knowledge and Learning, 2020
While key concepts embedded within an expert's textual explanation have been considered an aspect of expert model, the complexity of textual data makes determining key concepts demanding and time consuming. To address this issue, we developed Student Mental Model Analyzer for Teaching and Learning (SMART) technology that can analyze an experts'…
Descriptors: Natural Language Processing, Educational Technology, Concept Mapping, Accuracy
Hoppe, Dorothée B.; Rij, Jacolien; Hendriks, Petra; Ramscar, Michael – Cognitive Science, 2020
Linguistic category learning has been shown to be highly sensitive to linear order, and depending on the task, differentially sensitive to the information provided by preceding category markers ("premarkers," e.g., gendered articles) or succeeding category markers ("postmarkers," e.g., gendered suffixes). Given that numerous…
Descriptors: Discrimination Learning, Computational Linguistics, Natural Language Processing, Artificial Languages
Smith, Garrett; Vasishth, Shravan – Cognitive Science, 2020
Among theories of human language comprehension, cue-based memory retrieval has proven to be a useful framework for understanding when and how processing difficulty arises in the resolution of long-distance dependencies. Most previous work in this area has assumed that very general retrieval cues like [+subject] or [+singular] do the work of…
Descriptors: Language Processing, Cues, Memory, Recall (Psychology)
Orena, Adriel John; Byers-Heinlein, Krista; Polka, Linda – Developmental Science, 2020
Examining how bilingual infants experience their dual language input is important for understanding bilingual language acquisition. To assess these language experiences, researchers typically conduct language interviews with caregivers. However, little is known about the reliability of these parent reports in describing how bilingual children…
Descriptors: Bilingualism, Infants, Linguistic Input, French