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Peer reviewed
Direct linkAuBuchon, 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
Jiarui Hou; James F. Lee; Stephen Doherty – Journal of Computer Assisted Learning, 2025
Background: Recent research has demonstrated the potential of mobile-assisted learning to enhance learners' learning outcomes. In contrast, the learning processes in this regard are much less explored using eye tracking technology. Objective: This systematic review study aims to synthesise the relevant work to reflect the current state of eye…
Descriptors: State of the Art Reviews, Eye Movements, Electronic Learning, Handheld Devices
YiHsuan Wood; Jeffrey J. Green; Ellen Knell; Yu Liu – Language Awareness, 2025
This study used eye-tracking to investigate the real-time processing of phonetic and semantic radicals (components of Chinese characters that give clues to their pronunciation and meaning) by intermediate-level university Chinese foreign language (CFL) learners. Additionally, the study examined how knowledge and awareness of radicals affect…
Descriptors: Eye Movements, Chinese, Second Language Learning, Second Language Instruction
Andrew Potter; Mitchell Shortt; Maria Goldshtein; Rod D. Roscoe – Grantee Submission, 2025
Broadly defined, academic language (AL) is a set of lexical-grammatical norms and registers commonly used in educational and academic discourse. Mastery of academic language in writing is an important aspect of writing instruction and assessment. The purpose of this study was to use Natural Language Processing (NLP) tools to examine the extent to…
Descriptors: Academic Language, Natural Language Processing, Grammar, Vocabulary Skills
Dan Song; Alexander F. Tang – Language Learning & Technology, 2025
While many studies have addressed the benefits of technology-assisted L2 writing, limited research has delved into how generative artificial intelligence (GAI) supports students in completing their writing tasks in Mandarin Chinese. In this study, 26 university-level Mandarin Chinese foreign language students completed two writing tasks on two…
Descriptors: Artificial Intelligence, Second Language Learning, Standardized Tests, Writing Tests
Hui-Chun Chu; Yi-Chun Lu; Yun-Fang Tu – Educational Technology & Society, 2025
This study guided 97 undergraduates using generative artificial intelligence (GenAI) to conduct multimodal digital storytelling (M-DST) learning activities. Furthermore, the study examined the differences in M-DST ability and critical thinking awareness among undergraduates with different levels of learning motivation and their perceptions of this…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Undergraduate Students
Jing Liu; Qing Ma – Educational Technology & Society, 2025
This meta-analysis evaluated the effectiveness of data-driven learning (DDL) among low-proficiency L2 English learners, addressing the mixed results found in previous meta-analyses. The study incorporated 38 studies involving 2085 participants, yielding 37 effect sizes from control-experimental (C/E) studies and 42 from pre- and post-test (P/P)…
Descriptors: Computational Linguistics, Second Language Instruction, Second Language Learning, Language Proficiency
Florian Hesse; Gerrit Helm – Journal of Digital Learning in Teacher Education, 2025
AI is changing the way writing is learnt at university and taught in schools. Different institutions hence call for integrating programs on writing with AI in teacher education. These must be based on the needs of the participants, which are, however, still unexplored. This article fills this gap with findings from a February 2024 questionnaire…
Descriptors: Artificial Intelligence, Technology Uses in Education, Writing (Composition), Preservice Teacher Education
