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Ryskin, Rachel; Kurumada, Chigusa; Brown-Schmidt, Sarah – Cognitive Science, 2019
Upon hearing a scalar adjective in a definite referring expression such as "the big…," listeners typically make anticipatory eye movements to an item in a contrast set, such as a big glass in the context of a smaller glass. Recent studies have suggested that this rapid, contrastive interpretation of scalar adjectives is malleable and…
Descriptors: Language Processing, Pragmatics, Eye Movements, Inferences
Hasibuan, Muhammad Said; Nugroho, Lukito Edi; Santosa, Paulus Insap – Journal of Technology and Science Education, 2019
Currently the detection of learning styles from the external aspect has not produced optimal results. This research tries to solve the problem by using an internal approach. The internal approach is one that derives from the personality of the learner. One of the personality traits that each learner possesses is prior knowledge. This research…
Descriptors: Cognitive Style, Artificial Intelligence, Prior Learning, Identification
Yan, Ming; Sommer, Werner – Reading and Writing: An Interdisciplinary Journal, 2019
The emotional significance of stimuli has a strong effect on lexical processing across different reading paradigms. In the present study, we investigated whether foveal and parafoveal lexical processing is influenced by foveal emotional words (positive, negative, or neutral) during the reading of Chinese sentences. We tested word N + 2 preview…
Descriptors: Chinese, Language Processing, Reading, Psychological Patterns
Amy Jean Konyn – ProQuest LLC, 2021
Natural language is highly complex and can be challenging for some learners, yet the contribution of complexity to individual differences in language learning remains poorly understood. This poor understanding appears due to both a lack of consensus among researchers regarding what complexity is, and to on-line language research often employing…
Descriptors: Phonology, Natural Language Processing, Native Language, English
Alex Rister; Meghan Velez – Communication Teacher, 2025
This article explores the value of generative AI (genAI) tools for much-needed support for instructors in higher education in the realm of course design. Two authors detail their experiences partnering with two distinct tools, ChatGPT and Bard (now known as Gemini), for communication course development, emphasizing iterative collaboration with…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Communications
Ting-Ting Wu; Hsin-Yu Lee; Pei-Hua Chen; Chia-Ju Lin; Yueh-Min Huang – Journal of Computer Assisted Learning, 2025
Background: Science, Technology, Engineering, and Mathematics (STEM) education in Asian universities struggles to integrate Knowledge, Skills, and Attitudes (KSA) due to large classes and student reluctance. While ChatGPT offers solutions, its conventional use may hinder independent critical thinking. Objectives: This study introduces PA-GPT,…
Descriptors: Peer Evaluation, Artificial Intelligence, Natural Language Processing, Technology Uses in Education
Pilar Ordóñez--López – Interpreter and Translator Trainer, 2025
The impact of attitudes on the learning process and on the academic results achieved by students has been the object of numerous studies, which have shown a connection between attitudes and learning. Similarly, the impact of students' attitudes towards learning a foreign language (mainly English) has been explored from a wide range of…
Descriptors: Translation, Student Attitudes, Second Language Instruction, Second Language Learning
Xuefan Li; Tingsong Li; Minjuan Wang; Sining Tao; Xiaoxu Zhou; Xiaoqing Wei; Naiqing Guan – IEEE Transactions on Learning Technologies, 2025
With the rapid advancement of generative artificial intelligence (GAI), its application in educational settings has increasingly become a focal point, particularly in enhancing students' analytical capabilities. This study examines the effectiveness of the ChatGPT prompt framework in improving text analysis skills among students, specifically…
Descriptors: Artificial Intelligence, Technology Uses in Education, High School Students, Foreign Countries
Chenghao Wang; Xueyun Li – International Journal of Computer-Assisted Language Learning and Teaching, 2025
D-ID Creative Reality Studio (D-ID) is a platform for creating Artificial Intelligence (AI) presenter (digital human) videos, translating videos, and designing conversational agents. D-ID seamlessly integrates deep-learning face animation technology, large language models (LLMs), natural language processing (NLP), and speech synthesis and…
Descriptors: Artificial Intelligence, Design, Video Technology, Animation
Mohammad Islam Biswas; Md. Shamim Talukder; Yasheng Chen – International Journal of Educational Management, 2025
Purpose: The adoption and usage of generative artificial intelligence tools like Chat Generative Pre-Trained Transformer (ChatGPT) in academia is the subject of increasing research interest. This study investigates the factors influencing the intention, usage and recommendation of ChatGPT among university students by employing the…
Descriptors: Intention, Artificial Intelligence, Natural Language Processing, Technology Uses in Education
Hieu Hoang Nguyen; Na Le Pham; Trang Thu Nguyen; Chau Minh Mai – Educational Process: International Journal, 2025
Background/purpose: The introduction of ChatGPT has rapidly transformed various aspects of life. It has raised concerns about its impact on current jobs, especially in education. The study aims to examine the factors that may influence university lecturers' intention to adopt ChatGPT in their work. Materials/methods: This study uses the Unified…
Descriptors: Intention, Artificial Intelligence, Natural Language Processing, Technology Uses in Education
Ursula Holzmann; Sulekha Anand; Alexander Y. Payumo – Advances in Physiology Education, 2025
Generative large language models (LLMs) like ChatGPT can quickly produce informative essays on various topics. However, the information generated cannot be fully trusted, as artificial intelligence (AI) can make factual mistakes. This poses challenges for using such tools in college classrooms. To address this, an adaptable assignment called the…
Descriptors: Artificial Intelligence, Technology Uses in Education, Natural Language Processing, Thinking Skills
Brendan Bartanen; Andrew Kwok; Andrew Avitabile; Brian Heseung Kim – Educational Researcher, 2025
Heightened concerns about the health of the teaching profession highlight the importance of studying the early teacher pipeline. This exploratory, descriptive article examines preservice teachers' expressed motivation for pursuing a teaching career. Using data from a large teacher education program in Texas, we use a natural language processing…
Descriptors: Career Choice, Teaching (Occupation), Preservice Teachers, Student Attitudes
Rabab Ahmad Mizher; Kholoud Hussein Amoush; Bandar Khalil Mukattash – rEFLections, 2025
This paper attempted to investigate the relationship between English major learners' use of metacognitive strategies of listening to overcome the difficulties they face while learning listening skills at Al-Balqa Applied University (BAU). The data was collected by administering an online Microsoft Form questionnaire to 168 first-year English major…
Descriptors: Correlation, Listening Comprehension, Metacognition, Majors (Students)
Jayanthi Muniandy; Mahiswaran Selvanathan – Teaching Public Administration, 2025
The emergence of ChatGPT, an OpenAI chatbot, has revolutionised our education system to a new phase. It is an innovative approach to future learning, including in the English as a Second Language (ESL) classroom. Since its inception, ChatGPT has been remarkably used by most educators and learners. Nevertheless, its application in the flipped…
Descriptors: Foreign Countries, Artificial Intelligence, Man Machine Systems, Natural Language Processing