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Showing 211 to 225 of 1,733 results Save | Export
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Muna Barakat; Nesreen A. Salim; Malik Sallam – Open Praxis, 2025
Integration of ChatGPT into higher education requires assessing university educators' perspectives regarding this novel technology. This study aimed to validate a survey instrument specifically tailored to assess ChatGPT usability and acceptability among university educators based on the Technology Acceptance Model (TAM). The survey instrument…
Descriptors: College Faculty, Teacher Attitudes, Artificial Intelligence, Man Machine Systems
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Mathias Benedek; Roger E. Beaty – Journal of Creative Behavior, 2025
The PISA assessment 2022 of creative thinking was a moonshot effort that introduced significant advancements over existing creativity tests, including a broad range of domains (written, visual, social, and scientific), implementation in many languages, and sophisticated scoring methods. PISA 2022 demonstrated the general feasibility of assessing…
Descriptors: Creative Thinking, Creativity, Creativity Tests, Scoring
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Ekaterina Tour; Mark Pegrum; Shem Macdonald – English Australia Journal, 2025
As artificial intelligence (AI), and especially generative AI, are increasingly impacting daily life, it is becoming essential for learners to acquire AI literacy -- the capability to interact with AI at the interface of technology and the target language. Without AI literacy, they may struggle to navigate AI-driven systems and access benefits of…
Descriptors: English Learners, Technology Uses in Education, Educational Strategies, Artificial Intelligence
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Adam B. Lockwood; Joshua Castleberry – Contemporary School Psychology, 2025
Technological Advances in Artificial Intelligence (AI) have Brought forth the Potential for Models to Assist in Academic Writing. However, Concerns Regarding the Accuracy, Reliability, and Impact of AI in Academic Writing have been Raised. This Study Examined the Capabilities of GPT-4, a state-of-the-art AI Language Model, in Writing an American…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Writing (Composition)
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Yushan Kuerban; Solomon Sunday Oyelere; Ismaila Temitayo Sanusi – International Journal of Technology in Education and Science, 2025
Dyslexia is a learning disability that significantly hinders students' abilities to read and comprehend educational materials, posing a substantial challenge within educational environments. This paper introduces an innovative educational system, ReadSmart, that integrates both Augmented Reality (AR) and Generative Artificial Intelligence (GenAI)…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Computer Simulation
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Silvia García-Méndez; Francisco de Arriba-Pérez; María del Carmen Somoza-López – Science & Education, 2025
Transformer architectures contribute to managing long-term dependencies for natural language processing, representing one of the most recent changes in the field. These architectures are the basis of the innovative, cutting-edge large language models (LLMs) that have produced a huge buzz in several fields and industrial sectors, among the ones…
Descriptors: Natural Language Processing, Artificial Intelligence, Literature Reviews, Technology Uses in Education
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Yi Lyu; Azhar Bin Md Adnan; Lijuan Zhang – Education and Information Technologies, 2025
This study presents a comprehensive examination of the applications, challenges, and strategies associated with the integration of natural language processing (NLP) technologies in university teaching. By employing qualitative analyses, including interviews, classroom observations, and document review, the study explores the diverse applications…
Descriptors: Foreign Countries, Natural Language Processing, Technology Integration, Teaching Methods
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Elisabeth Bauer; Michael Sailer; Frank Niklas; Samuel Greiff; Sven Sarbu-Rothsching; Jan M. Zottmann; Jan Kiesewetter; Matthias Stadler; Martin R. Fischer; Tina Seidel; Detlef Urhahne; Maximilian Sailer; Frank Fischer – Journal of Computer Assisted Learning, 2025
Background: Artificial intelligence, particularly natural language processing (NLP), enables automating the formative assessment of written task solutions to provide adaptive feedback automatically. A laboratory study found that, compared with static feedback (an expert solution), adaptive feedback automated through artificial neural networks…
Descriptors: Artificial Intelligence, Feedback (Response), Computer Simulation, Natural Language Processing
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Gal Sasson Lazovsky; Tuval Raz; Yoed N. Kenett – Journal of Creative Behavior, 2025
As artificial intelligence and natural language processing methods rapidly develop, communication plays a pivotal role in every-day interactions. In this theoretical paper, we explore the overlap and commonalities between question-asking and prompt engineering. While seemingly distinct, these processes share a common foundation in essential skills…
Descriptors: Creativity, Questioning Techniques, Inquiry, Artificial Intelligence
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Muhammad Jaffar; Nazir Ahmed Jogezai; Abdul Rais Abdul Latiff; Fozia Ahmed Baloch; Gulab Khan Khilji – Journal of Applied Research in Higher Education, 2025
Purpose: The objective of this study was to elucidate the intentions of university teachers regarding the utilization of ChatGPT for instructional purposes. Design/methodology/approach: In this cross-sectional quantitative research, data were collected through an online survey tool from 493 university teachers across Pakistan. Findings: The…
Descriptors: College Faculty, Teacher Attitudes, Artificial Intelligence, Man Machine Systems
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Jie Yang; Ehsan Latif; Yuze He; Xiaoming Zhai – Journal of Science Education and Technology, 2025
The development of explanations for scientific phenomena is crucial in science assessment. However, the scoring of students' written explanations is a challenging and resource-intensive process. Large language models (LLMs) have demonstrated the potential to address these challenges, particularly when the explanations are written in English, an…
Descriptors: Artificial Intelligence, Technology Uses in Education, Automation, Scoring
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Adrian Lundberg – Research in Post-Compulsory Education, 2025
The purpose of this research is to provide a first-person account of the dynamics and needed adaptations in an academic's transition from being a doctoral student to a doctoral supervisor. By employing autoethnography, this study explores the inner experiences, challenges, and insights encountered in the process of developing a supervisory…
Descriptors: Doctoral Students, Supervisors, Adjustment (to Environment), Professional Identity
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Maria Eleftheriou; Muhammad Ahmer; Daniel Fredrick – Contemporary Educational Technology, 2025
Like many student writing centers, the American University of Sharjah Writing Center is seeing a rise in student reliance upon generative AI (GenAI) tools, which are artificial intelligence systems capable of generating human-like text. Peer tutors frequently seek guidance on how to approach student papers involving GenAI tools such as ChatGPT,…
Descriptors: Laboratories, Writing (Composition), Artificial Intelligence, Man Machine Systems
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Adrienne Carthon – Thresholds in Education, 2025
An outgrowth of work submitted for Howard University's Generative Artificial Intelligence (AI) Writing Faculty Task Force, this essay examines what is at stake for students of color with the use of AI as well as the potential opportunities it presents. The research is tailored to explore how the mission of Historically Black Colleges and…
Descriptors: Writing (Composition), Black Colleges, African American Students, Racism
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Ishrat Ahmed; Wenxing Liu; Rod D. Roscoe; Elizabeth Reilley; Danielle S. McNamara – Grantee Submission, 2025
Large language models (LLMs) are increasingly being utilized to develop tools and services in various domains, including education. However, due to the nature of the training data, these models are susceptible to inherent social or cognitive biases, which can influence their outputs. Furthermore, their handling of critical topics, such as privacy…
Descriptors: Artificial Intelligence, Natural Language Processing, Computer Mediated Communication, College Students
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