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Peer reviewed
Download full textAlmotairi, Maram; Fkih, Fethi – Journal of Education and e-Learning Research, 2022
The Question answering (QA) system plays a basic role in the acquisition of information and the e-learning environment is considered to be the field that is most in need of the question-answering system to help learners ask questions in natural language and get answers in short periods of time. The main problem in this context is how to understand…
Descriptors: Semantics, Natural Language Processing, Intelligent Tutoring Systems, Ambiguity (Semantics)
Direct linkWu, Shi Hui; Henderson, Lisa-Marie; Gennari, Silvia P. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2022
Sentence production and comprehension both draw on linguistic knowledge, but current research is unclear on whether these fundamental language tasks involve similar or distinct competitive processes. Previous studies suggest that production and comprehension may involve similar conflict resolution processes, but that production may additionally…
Descriptors: Individual Differences, Reading Comprehension, Sentences, Vocabulary
AuBuchon, Angela M.; Elliott, Emily M.; Morey, Candice C.; Jarrold, Christopher; Cowan, Nelson; Adams, Eryn J.; Attwood, Meg; Bayram, Büsra; Blakstvedt, Taran Y.; Büttner, Gerhard; Castelain, Thomas; Cave, Shari; Crepaldi, Davide; Fredriksen, Eivor; Glass, Bret A.; Guitard, Dominic; Hoehl, Stefanie; Hosch, Alexis; Jeanneret, Stéphanie; Joseph, Tanya N.; Koch, Christopher; Lelonkiewicz, Jaroslaw R.; Meissner, Grace; Mendenhall, Whitney; Moreau, David; Ostermann, Thomas; Özdogru, Asil Ali; Padovani, Francesca; Poloczek, Sebastian; Röer, Jan Philipp; Schonberg, Christina; Tamnes, Christian K.; Tomasik, Martin J.; Valentini, Beatrice; Vergauwe, Evie; Vlach, Haley; Voracek, Martin – Journal of Cognition and Development, 2022
A recent Registered Replication Report (RRR) of the development of verbal rehearsal during serial recall revealed that children verbalized at younger ages than previously thought, but did not identify sources of individual differences. Here, we use mediation analysis to reanalyze data from the 934 children ranging from 5 to 10 years old from the…
Descriptors: Language Processing, Phonology, Serial Ordering, Recall (Psychology)
Mead, Alan D.; Zhou, Chenxuan – Journal of Applied Testing Technology, 2022
This study fit a Naïve Bayesian classifier to the words of exam items to predict the Bloom's taxonomy level of the items. We addressed five research questions, showing that reasonably good prediction of Bloom's level was possible, but accuracy varies across levels. In our study, performance for Level 2 was poor (Level 2 items were misclassified…
Descriptors: Artificial Intelligence, Prediction, Taxonomy, Natural Language Processing
Larranaga, Mikel; Aldabe, Itziar; Arruarte, Ana; Elorriaga, Jon A.; Maritxalar, Montse – IEEE Transactions on Learning Technologies, 2022
In a concept learning scenario, any technology-supported learning system must provide students with mechanisms that help them with the acquisition of the concepts to be learned. For the technology-supported learning systems to be successful in this task, the development of didactic material is crucial--a hard task that could be alleviated by means…
Descriptors: Computer Assisted Testing, Science Tests, Multiple Choice Tests, Textbooks
Nicoladis, Elena; Chan, Pui Ting – International Journal of Bilingual Education and Bilingualism, 2022
Bilinguals can be proficient in oral language without necessarily knowing how to read and write in at least one of their languages. Literacy has been shown to affect language processing in monolinguals. In the present study, we test if literacy affects grammaticality judgments for Cantonese-English bilinguals who varied in Chinese literacy…
Descriptors: Bilingualism, Literacy, Language Processing, Grammar
Negro, Isabelle; Lefèvre, Françoise; Bonnotte, Isabelle – Reading and Writing: An Interdisciplinary Journal, 2022
The research presented in this paper aimed to serve two purposes. First, the objective was to understand the relationship between lexical and grammatical spelling. In this way, we studied how the frequency and consistency of verb interacted with the application of grammatical rules. Second, we investigated the dynamics of spelling during the…
Descriptors: French, Elementary School Students, Language Processing, Spelling
Oh, Se Jin; Sung, Jee Eun; Lee, Sung Eun – Journal of Speech, Language, and Hearing Research, 2022
Purpose: How older adults engage in predictive processing compared to young adults during sentence processing has been a controversial issue in psycholinguistic research. This study investigated whether age-related differences in predictive processing emerge and how they influence young and older adults' construction of sentential representations…
Descriptors: Older Adults, Young Adults, Eye Movements, Cognitive Processes
Jayden J. Lee – ProQuest LLC, 2022
The functional neuroanatomy of language localization in dyslexia has primarily been studied in the context of reading. However, dyslexia is sometimes referred to as a "language-based learning disability," yet the functional signature of the core language comprehension network in dyslexia is far less understood. This thesis presents a…
Descriptors: Dyslexia, Brain Hemisphere Functions, Comparative Analysis, Speech Communication
Venus W. S. Tse; Jiedi Lei; Jason Crabtree; William Mandy; Joshua Stott – Review Journal of Autism and Developmental Disorders, 2022
Autism is a neurodevelopmental condition that affects individuals across their lifetime, though the effects of ageing in older adulthood are poorly understood to date. This systematic review assessed six characteristics in older autistic adults (cognitive functioning, co-occurring difficulties, autism symptom severity, social integration, adaptive…
Descriptors: Older Adults, Autism Spectrum Disorders, Interpersonal Relationship, Language Processing
Su Fang; Xue-yi Huang; Xin Chang – Journal of Psycholinguistic Research, 2024
In order to better understand the role of syntactic similarity in a code-switched sentence, the current study explored the effect of similar and different syntactic structures on Chinese-English bilinguals' intra-sentential switching costs. L2 proficiency and switching directions as factors that potentially intervene in bilingual performance were…
Descriptors: Chinese, English (Second Language), Second Language Learning, Second Language Instruction
Adam Keath; James Wyant; Brooke Towner – Journal of Physical Education, Recreation & Dance, 2024
AI tools can revolutionize physical education (PE) by assisting teachers in various ways, such as curriculum development, providing feedback, enhancing content knowledge and data analysis, and promoting student engagement. This article explores various ways in which PE teachers can utilize AI tools like ChatGPT to improve their instruction and…
Descriptors: Physical Education, Physical Education Teachers, Technology Uses in Education, Artificial Intelligence
Nana Lehtinen; Anna Kautto; Kati Renvall – Language Learning Journal, 2024
Verbal Fluency (VF) task total scores are widely used in language attrition studies, but they do not provide insight into the processes underlying optimal performance. We analyse the efficacy of clustering (subcategories within a category) and switching (shifting between these subcategories) strategies in phonemic (PVF) and semantic (SVF) tasks.…
Descriptors: Language Fluency, Verbal Communication, Semantics, Phonemics
Minjin Kim; Xiaofei Lu – Modern Language Journal, 2024
The effects of learner- and task-related variables on second language (L2) writing syntactic complexity (SC) have been extensively investigated. However, previous research has rarely assessed the reliability of computational tools for analyzing the SC of L2 spoken production, and we know less about the effects of such variables on L2 speaking SC.…
Descriptors: Speech Communication, Syntax, English (Second Language), Second Language Learning
William Cain – TechTrends: Linking Research and Practice to Improve Learning, 2024
This paper explores the transformative potential of Large Language Models Artificial Intelligence (LLM AI) in educational contexts, particularly focusing on the innovative practice of prompt engineering. Prompt engineering, characterized by three essential components of content knowledge, critical thinking, and iterative design, emerges as a key…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Prompting
