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Chukwuemeka Ihekweazu; Bing Zhou; Elizabeth Adepeju Adelowo – Information Systems Education Journal, 2024
This study delves into the opportunities and challenges associated with the deployment of AI tools in the education sector. It systematically explores the potential benefits and risks inherent in utilizing these tools while specifically addressing the complexities of identifying and preventing academic dishonesty. Recognizing the ethical…
Descriptors: Ethics, Artificial Intelligence, Responsibility, Technology Uses in Education
Mohammad Daneshvar Kakhki; Abdullah Oguz; Michael Gendron – Journal of Information Systems Education, 2024
This paper investigates the affordances of ChatGPT in higher education and examines how artificial intelligence (AI) technologies may reshape the learning function in higher education. This study utilizes a grounded theory approach to analyze data collected from six sessions of panel discussions with participants from US universities. The study…
Descriptors: Affordances, Educational Benefits, Technology Uses in Education, Educational Technology
Sanna Olkkonen; Patrick Snellings; Outi Veivo; Pekka Lintunen – Journal of Psycholinguistic Research, 2024
The fluency of second language (L2) speech can be influenced by L2 proficiency, but also by differences in the efficiency of cognitive operations and personal speaking styles. The nature of cognitive fluency is still, however, little understood. Therefore, we studied the cognitive fluency of Finnish advanced students of English (N = 64) to…
Descriptors: Second Language Learning, Language Processing, Speech Communication, Language Fluency
Nur Basak Karatas; Oya Özemir; Jarrett T. Lovelett; Bora Demir; Kemal Erkol; João Veríssimo; Gülcan Erçetin; Michael T. Ullman – Language Teaching Research, 2025
We investigated whether learning and retaining vocabulary in a second language (L2) can be improved by leveraging a combination of memory enhancement techniques. Specifically, we tested whether combining retrieval practice, spacing, and related manipulations in a 'multidomain' pedagogical approach enhances vocabulary acquisition as compared to a…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Accuracy
Pablo Flores Romero; Kin Nok Nicholas Fung; Guang Rong; Benjamin Ultan Cowley – npj Science of Learning, 2025
Large Language Models (LLMs) present a radically new paradigm for the study of "information foraging behavior." We study how LLM technology is used for pedagogical content creation by a sample of 25 participants in a doctoral-level Artificial Intelligence (AI) in Education course, and the role of computational-thinking skills in shaping…
Descriptors: Man Machine Systems, Artificial Intelligence, Natural Language Processing, Interaction
Ahsen Filiz; Hülya Gür – Educational Process: International Journal, 2025
Background/purpose: This study aims to examine the impact of prospective mathematics teachers' metacognitive awareness on their perceptions and applications of ChatGPT in problem-solving processes. The research investigates how these prospective mathematics teachers perceive and utilize ChatGPT, focusing on the relationship between their…
Descriptors: Student Attitudes, Metacognition, Problem Solving, Artificial Intelligence
Xinming Chen; Ziqian Zhou; Malila Prado – International Journal of Assessment Tools in Education, 2025
This study explores the efficacy of ChatGPT-3.5, an AI chatbot, used as an Automatic Essay Scoring (AES) system and feedback provider for IELTS essay preparation. It investigates the alignment between scores given by ChatGPT-3.5 and those assigned by official IELTS examiners to establish its reliability as an AES. It also identifies the strategies…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Automation
Edmund De Leon Evangelista – Contemporary Educational Technology, 2025
The rapid advancement of artificial intelligence (AI) technologies, particularly OpenAI's ChatGPT, has significantly impacted higher education institutions (HEIs), offering opportunities and challenges. While these tools enhance personalized learning and content generation, they threaten academic integrity, especially in assessment environments.…
Descriptors: Artificial Intelligence, Integrity, Educational Strategies, Natural Language Processing
Gyeonggeon Lee; Xiaoming Zhai – TechTrends: Linking Research and Practice to Improve Learning, 2025
Educators and researchers have analyzed various image data acquired from teaching and learning, such as images of learning materials, classroom dynamics, students' drawings, etc. However, this approach is labour-intensive and time-consuming, limiting its scalability and efficiency. The recent development in the Visual Question Answering (VQA)…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, Learning Processes
Mohammed Sani Ya’u; Mohammed Sadaa Mohammed – International Journal of Education and Literacy Studies, 2025
The rise of AI-assisted writing tools has transformed academic literacy, as it offers students support in grammar correction, sentence structure, and idea generation. However, concerns about academic integrity and over-reliance on AI are on the increase. This study investigates how Nigerian university students use AI writing tools and examines…
Descriptors: Foreign Countries, Artificial Intelligence, Technology Uses in Education, Natural Language Processing
Marc F. Maffei; Karen V. Chenausky; Helen Tager-Flusberg; Jordan R. Green – Journal of Speech, Language, and Hearing Research, 2025
Purpose: Despite known motor and spoken language impairments in autism spectrum disorder (ASD), the motor skills underlying speech production and their relationship with language skills have rarely been directly investigated in this population. Method: Thirty-nine autistic children (14 minimally verbal [MV], 25 verbal [V]) and 11 non-autistic…
Descriptors: Acoustics, Speech, Psychomotor Skills, Performance
Adam B. Lockwood – Communique, 2025
School psychologists constantly seek innovative ways to support students and colleagues. They understand the unique challenges within schools, including complex student needs, systemic pressures, and ever-increasing paperwork. What if they could create custom digital tools like games, interactive simulations, or decision-making aids, all tailored…
Descriptors: Educational Technology, Technology Uses in Education, Artificial Intelligence, Computer Oriented Programs
Kathryn N. Thompson; Kimberley L. Chandler; Candice Morgan; Daniel Khashabi; Emily A. Delinski; Benjamin Van Durme – Journal of Advanced Academics, 2025
Large language models (LLMs) have the potential to impact learning in the advanced learner virtual classroom through personalized learning and on-demand feedback. This study investigated whether an LLM added to virtual science course activities impacted student learning. Using the GPT4o model from OpenAI, the LLM was developed as a co-tutor to…
Descriptors: Artificial Intelligence, Technology Uses in Education, Intelligent Tutoring Systems, Electronic Learning
Hui Shi; Nuodi Zhang; Secil Caskurlu; Hunhui Na – Journal of Computer Assisted Learning, 2025
Background: The growth of online education has provided flexibility and access to a wide range of courses. However, the self-paced and often isolated nature of these courses has been associated with increased dropout and failure rates. Researchers employed machine learning approaches to identify at-risk students, but multiple issues have not been…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, At Risk Students
Evan Kidd; Gabriela Garrido Rodríguez; Sasha Wilmoth; Javier E. Garrido Guillén; Rachel Nordlinger – Cognitive Science, 2025
Sentence production is a stage-like process of mapping a conceptual representation to the linear speech signal via grammatical rules. While the typological diversity of languages is vast and thus must necessarily influence sentence production, psycholinguistic studies of diverse languages are comparatively rare. Here, we present data from a…
Descriptors: Language Planning, Language Processing, Eye Movements, Word Order

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