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Direct linkGuan, Shuang; Arnold, Jennifer E. – Discourse Processes: A Multidisciplinary Journal, 2021
In discourses involving implicit causality, the implicit cause of the event is referentially predictable, that is, it is likely to be rementioned. However, it is unclear how referential predictability is calculated. We test two possible explanations: (1) The frequency account suggests that people learn that implicit causes are predictable through…
Descriptors: Influences, Prediction, Incidence, Comprehension
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)
Yu Tamura – Second Language Research, 2025
This study examined number marking comprehension among Japanese learners of second language (L2) English, whose first language (L1) does not have an obligatory number marking system. The study conducted an online sentence comprehension experiment with 96 L1-Japanese learners and 32 native speakers of English, wherein participants engaged in a…
Descriptors: Learning Processes, English (Second Language), Second Language Learning, Language Processing
Halamish, Vered; Undorf, Monika – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
Research has observed that monitoring one's own learning modifies memory for some materials but not for others. Specifically, making judgments of learning (JOLs) while learning word pairs improves subsequent cued-recall memory performance for related word pairs but not for unrelated word pairs. Theories that have attempted to explain this pattern…
Descriptors: Decision Making, Memory, Task Analysis, Recall (Psychology)
Download full textDemir, Bora – Novitas-ROYAL (Research on Youth and Language), 2021
This study investigates the phonological awareness of a Turkish monolingual and a Turkish-English bilingual child in Turkish. As a case study, the main focus of this study is to explore whether a bilingual advantage exists in phonological processing. Theories of bilingualism and empirical data led to the prediction that the bilingual participant…
Descriptors: Foreign Countries, Bilingualism, Monolingualism, Phonological Awareness
Bozkurt, Aras; Xiao, Junhong; Lambert, Sarah; Pazurek, Angelica; Crompton, Helen; Koseoglu, Suzan; Farrow, Robert; Bond, Melissa; Nerantzi, Chrissi; Honeychurch, Sarah; Bali, Maha; Dron, Jon; Mir, Kamran; Stewart, Bonnie; Costello, Eamon; Mason, Jon; Stracke, Christian M.; Romero-Hall, Enilda; Koutropoulos, Apostolos; Toquero, Cathy Mae; Singh, Lenandlar; Tlili, Ahmed; Lee, Kyungmee; Nichols, Mark; Ossiannilsson, Ebba; Brown, Mark; Irvine, Valerie; Raffaghelli, Juliana Elisa; Santos-Hermosa, Gema; Farrell, Orna; Adam, Taskeen; Thong, Ying Li; Sani-Bozkurt, Sunagul; Sharma, Ramesh C.; Hrastinski, Stefan; Jandric, Petar – Asian Journal of Distance Education, 2023
While ChatGPT has recently become very popular, AI has a long history and philosophy. This paper intends to explore the promises and pitfalls of the Generative Pre-trained Transformer (GPT) AI and potentially future technologies by adopting a speculative methodology. Speculative future narratives with a specific focus on educational contexts are…
Descriptors: Artificial Intelligence, Technology Uses in Education, Affordances, Teacher Role
John Hollander; John Sabatini; Art Graesser; Daphne Greenberg; Tenaha O'Reilly; Jan Frijters – Grantee Submission, 2023
Adult literacy learners are characterized by their diversity, both in terms of educational histories and cognitive skill sets. Accounting for the specific strengths and weaknesses of each learner is vital to the assessment of literacy gains and optimization of educational systems. We examined pre- and post-difference scores on a component reading…
Descriptors: Adult Literacy, Adult Education, Adult Students, Student Characteristics
John Hollander; John Sabatini; Art Graesser; Daphne Greenberg; Tenaha O'Reilly; Jan Frijters – Discourse Processes: A Multidisciplinary Journal, 2023
Adult literacy learners are characterized by their diversity, both in terms of educational histories and cognitive skill sets. Accounting for the specific strengths and weaknesses of each learner is vital to the assessment of literacy gains and optimization of educational systems. We examined pre- and post-difference scores on a component reading…
Descriptors: Adult Literacy, Adult Education, Adult Students, Student Characteristics
Ilker Cingillioglu – Studies in Higher Education, 2024
This study provides an empirical approach to utilizing an Artificial Intelligence (AI)-based system for identifying students' university choice factors that impact their matriculation decision. We created an AI-based chatbot that gathered both qualitative and quantitative data from nearly 1200 participants worldwide. The entire human-AI…
Descriptors: Admission (School), Decision Making, Student Attitudes, College Choice
Daniel P. Feller; Amani Talwar; Daphne Greenberg; Ryan D. Kopatich; Joseph P. Magliano – Grantee Submission, 2023
Background: A significant portion of adults struggle to read at a basic level. Word reading (defined here as decoding and word recognition) appears to play a pivotal role for this population of readers; however, less is known about how word reading relates to other important semantic processes (e.g., vocabulary, sentence processing) known to…
Descriptors: Correlation, Word Recognition, Reading Comprehension, Reading Processes
Destruel, Emilie – Second Language Research, 2023
A large amount of literature exists on how native speakers derive and process pragmatic inferences, yet few studies have examined the issue in second language learners, despite a controversial debate of second language (L2) ultimate attainment of phenomena situated at external interfaces. This study contributes to the debate on the integration of…
Descriptors: Language Processing, Inferences, French, Second Language Learning
Anuj Gupta; Yasser Atef; Anna Mills; Maha Bali – Open Praxis, 2024
This study explores how discussing metaphors for AI can help build awareness of the frames that shape our understanding of AI systems, particularly large language models (LLMs) like ChatGPT. Given the pressing need to teach "critical AI literacy", discussion of metaphor provides an opportunity for inquiry and dialogue with space for…
Descriptors: Artificial Intelligence, Figurative Language, Natural Language Processing, Multiple Literacies
Samburskiy, Denis – International Journal of Instruction, 2020
The goal of this study is to examine differences in the interpretation of idioms by EFL learners in Russia and ESL learners living in the USA and analyze a facilitative effect of a dual-coding technique on interpretation of unfamiliar idioms. Firstly, the study investigates an impact that different levels of metaphorical competence may have on…
Descriptors: Figurative Language, English (Second Language), Second Language Learning, Second Language Instruction
Rybinski, Krzysztof; Kopciuszewska, Elzbieta – Assessment & Evaluation in Higher Education, 2021
This article presents the first-ever big data study of the student evaluation of teaching (SET) using artificial intelligence (AI). We train natural language processing (NLP) models on 1.6 million student evaluations from the US and the UK. We address two research questions: (1) are these models able to predict student ratings from the student…
Descriptors: Artificial Intelligence, Technology Uses in Education, Student Evaluation of Teacher Performance, Natural Language Processing
Aydin, Burcu – Journal of Language and Linguistic Studies, 2019
This study examines the cognitive processes underlying the comprehension of L2 idiomatic expressions by using two different visual instructional techniques -- pictorial representation of literal meanings versus pictorial representation of figurative meanings of each idiomatic expression -- considering two settings (EFL vs. ESL), two different…
Descriptors: Language Processing, English (Second Language), Second Language Learning, Language Patterns
