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Direct linkZhao Wanli; Tang Youjun; Ma Xiaomei – SAGE Open, 2025
Deeper learning (DL) is firmly rooted in learning science and computer science. However, a dearth of review studies has probed its trajectory in DL in foreign languages (DLFL). Utilizing SSCI from the Web of Science Core Collection, we employ Citespace and Vosviewer to analyze the scientific knowledge graph of DLFL literature. Our analysis…
Descriptors: Bibliometrics, Second Language Learning, Computer Science, Educational Research
Download full textIngrid 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
Cokal, Derya; Filik, Ruth; Sturt, Patrick; Poesio, Massimo – Discourse Processes: A Multidisciplinary Journal, 2023
Corpus evidence suggests that in contexts in which the presence of multiple antecedents might favor plural reference, the disadvantage observed for singular reference may disappear if the potential antecedents are combined in a group-like plural entity. We examined the relative salience of antecedents in conditions where the context either made a…
Descriptors: Morphemes, Form Classes (Languages), Semantics, Foreign Countries
Promethi Das Deep; Yixin Chen – Higher Education Studies, 2025
The COVID-19 pandemic significantly disrupted higher education. The sudden and profound transformations it necessitated had a direct and negative impact on higher education students, as evidenced by the widely reported instances of academic disengagement, decreased motivation, and lower performance. This was often due to student burnout caused by…
Descriptors: COVID-19, Pandemics, Electronic Learning, Fatigue (Biology)
Guan, 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
Hamza Polat; Arif Cem Topuz; Mine Yildiz; Elif Taslibeyaz; Engin Kursun – International Journal of Technology in Education, 2024
ChatGPT has become a prominent tool for fostering personalized and interactive learning with the advancements in AI technology. This study analyzes 212 academic research articles indexed in the Scopus database as of July 2023. It maps the trajectory of educational studies on ChatGPT, identifying primary themes, influential authors, and…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Bibliometrics
Maria Dimeli; Apostolos Kostas – Journal of Information Technology Education: Research, 2025
Aim/Purpose: The purpose of this systematic review is to identify and analyze the current findings of empirical research on the use of ChatGPT in school and higher education. Background: As AI reshapes education, the adoption of ChatGPT has the potential to revolutionize teaching and learning in school and higher educational settings. Meanwhile,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Natural Language Processing, Barriers
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)
Rumeng Yan; Xin Zhao; Suvodeep Mazumdar – Education for Information, 2023
Chatbots have experienced significant growth over the past decade, with a proliferation of new applications across various domains. Previous studies also demonstrate the trend of new technologies, especially artificial intelligence, being adopted in libraries. The purpose of this study is to determine the current research priorities and findings…
Descriptors: Academic Libraries, Artificial Intelligence, Man Machine Systems, Natural Language Processing
Michael Agyemang Adarkwah; Samuel Anokye Badu; Evans Appiah Osei; Enoch Adu-Gyamfi; Jonathan Odame; Käthe Schneider – Discover Education, 2025
The advancement of artificial intelligence (AI) tools has revolutionized teaching and learning, particularly in healthcare education, where they enhance pedagogy, foster immersive learning, and support healthcare provision. However, their use in healthcare education is contentious, warranting careful examination, especially regarding Generative AI…
Descriptors: Artificial Intelligence, Health Services, Medical Education, Technological Advancement
Xiaojing Weng; Qi Xia; Mingyue Gu; Kumaran Rajaram; Thomas K. F. Chiu – Australasian Journal of Educational Technology, 2024
Generative artificial intelligence (GenAI) impacts higher education assessment and learning outcomes, which are closely related and intertwined. Literature suggests that educators and researchers have many varied concerns regarding student assessment in the higher education GenAI context, such as how to assess students' learning and the new…
Descriptors: Evaluation Methods, Outcomes of Education, Artificial Intelligence, Natural Language Processing
Demir, 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
