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Johannes Cronjé – Electronic Journal of e-Learning, 2023
This paper describes the results of an archival desk-study that analyzed worksheets produced by four students using ChatGPT as a coach. ChatGPT is a Generative Pre-Trained Large Language model that can write comprehensively in various languages and styles. It was discovered that it could pass university level physics exams and perform at the level…
Descriptors: Natural Language Processing, Research Proposals, Artificial Intelligence, Research Methodology
Bénédicte Grandon; Marcel Schlechtweg; Esther Ruigendijk – Journal of Child Language, 2023
The ability to process plural marking of nouns is acquired early: at a very young age, children are able to understand if a noun represents one item or more than one. However, little is known about how the segmental characteristics of plural marking are used in this process. Using eye-tracking, we aim at understanding how five to twelve-year old…
Descriptors: Eye Movements, Child Language, Language Acquisition, Nouns
Jianyi Liu; Tengwen Fan; Yan Chen; Jingjing Zhao – npj Science of Learning, 2023
Statistical learning (SL) plays a key role in literacy acquisition. Studies have increasingly revealed the influence of distributional statistical properties of words on visual word processing, including the effects of word frequency (lexical level) and mappings between orthography, phonology, and semantics (sub-lexical level). However, there has…
Descriptors: Semantics, Brain Hemisphere Functions, Language Processing, Reading Processes
Ian Morton; C. Melanie Schuele – First Language, 2024
Comprehension of sentences with a center-embedded, object-gapped relative clause (ORC) is challenging for children as well as adults. Mismatching lexical and grammatical features of subject noun phrases (NPs) across the main clause and relative clause has been shown to facilitate comprehension. Adani et al. concluded that children's comprehension…
Descriptors: Nouns, Phrase Structure, Error Analysis (Language), Language Acquisition
Yang Liu – Education and Information Technologies, 2024
The use of smart technologies in bilingual education opens up new opportunities for language learning. This study aims to examine the influence of bilingualism on neural connections and brain activity in the context of education based on smart technologies. To achieve this goal, an experiment used functional magnetic resonance imaging (fMRI). An…
Descriptors: Foreign Countries, Multilingualism, Foreign Students, College Students
Arynn Simone Byrd – ProQuest LLC, 2024
This research examined how linguistic differences between African American English (AAE) and Mainstream American English (MAE) impact how children process sentences and learn new information. The central hypothesis of this dissertation is that these linguistic differences adversely impact how AAE-speaking children use contrastive inflectional verb…
Descriptors: Black Dialects, Standard Spoken Usage, North American English, Sentences
Stephen J. McElroy; Kristi Girdharry – Business and Professional Communication Quarterly, 2024
Drawing upon a framework of "assemblage thinking," this article offers an approach to considering artificial intelligence (AI) and ethics that seeks to think relationally across the positions occupied as educators and students at a business school. To complement discussions of assemblage and examinations of ethics in the AI era, we draw…
Descriptors: Ethics, Artificial Intelligence, Undergraduate Students, Undergraduate Study
Omar Albaloul; Risto Marttinen; Chad Killian – Journal of Physical Education, Recreation & Dance, 2024
The recent emergence of artificial intelligence (AI) tools has significantly influenced different fields, including education. One notable example is ChatGPT, an AI-driven large language model (LLM) developed by OpenAI. This tool holds potential for supporting both teachers and students in the teaching and learning process. While some fields of…
Descriptors: Physical Education, Artificial Intelligence, Natural Language Processing, Man Machine Systems
Ali Rashed Ibraheam Almohesh – International Review of Research in Open and Distributed Learning, 2024
In education, the integration of artificial intelligence (AI) has presented opportunities to transform the dynamics of online learning. This study investigated the impact of an AI-powered application, namely ChatGPT, on the autonomy of Saudi Arabian primary students participating in online classes. It also explored how the implementation of Chat…
Descriptors: Artificial Intelligence, Natural Language Processing, Foreign Countries, Elementary Schools
Lingyao Li; Zihui Ma; Lizhou Fan; Sanggyu Lee; Huizi Yu; Libby Hemphill – Education and Information Technologies, 2024
The rapid advancements in generative AI models present new opportunities in the education sector. However, it is imperative to acknowledge and address the potential risks and concerns that may arise with their use. We analyzed Twitter data to identify critical concerns related to the use of ChatGPT in education. We employed BERT-based topic…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Social Media
Gyeong-Geon Lee; Xiaoming Zhai – IEEE Transactions on Learning Technologies, 2024
While ongoing efforts have continuously emphasized the integration of ChatGPT with science teaching and learning, there are limited empirical studies exploring its actual utility in the classroom. This study aims to fill this gap by analyzing the lesson plans developed by 29 pre-service elementary teachers and assessing how they integrated ChatGPT…
Descriptors: Artificial Intelligence, Natural Language Processing, Science Education, Preservice Teachers
Safaa M. Abdelhalim – Journal of Computer Assisted Learning, 2024
Background: Introducing new technologies in education sparks debates, disrupting traditional practices, and requiring teacher adaptation. ChatGPT is an example. Research explores its benefits and concerns in education, with recommendations for classroom use. Nevertheless, limited evidence supports ChatGPT as a tool for supporting English as a…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Second Language Learning
Seyedahmad Rahimi; Justice T. Walker; Lin Lin-Lipsmeyer; Jinnie Shin – Creativity Research Journal, 2024
Digital sandbox games such as "Minecraft" can be used to assess and support creativity. Doing so, however, requires an understanding of what is deemed creative in this game context. One approach is to understand how Minecrafters describe creativity in their communities, and how much those descriptions overlap with the established…
Descriptors: Creativity, Video Games, Computer Games, Evaluation Methods
Shuyuan Chen; Jinzuan Chen; Yanping Liu – Scientific Studies of Reading, 2024
Purpose: This study aims to examine whether binocular vision plays a facilitating or impeding role in lexical processing during sentence reading in Chinese. Method: Adopting the revised boundary paradigm, we orthogonally manipulated the parafoveal and foveal viewing conditions (monocular vs. binocular) of target words (high- vs. low-frequency)…
Descriptors: Chinese, Reading Processes, Eye Movements, Language Processing
Jessica D. Young; Lisa Dawood; Scott E. Lewis – Journal of Chemical Education, 2024
Instructors use of Artificial Intelligence (AI) language models (i.e., chatbots) as an educational resource will require an understanding of students' AI literacy, namely their ability to critically reflect on the relevance, trustworthiness, and quality of these tools in the context of chemistry. This study sought to describe students' AI literacy…
Descriptors: Chemistry, Science Instruction, Artificial Intelligence, Multiple Literacies