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Showing 1 to 15 of 24 results Save | Export
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Hanchen David Wang; Siwoo Bae; Xutong Sun; Yashvitha Thatigotla; Meiyi Ma – Grantee Submission, 2025
Wearable sensor technology has significantly enhanced healthcare quality, including physical therapy. However, due to the design of current deep learning models, existing works often ignore the unique variations of rest intervals between repetitions and variations in individual user progress, potentially hindering effective therapy outcomes. To…
Descriptors: Physical Therapy, Exercise, Artificial Intelligence, Measurement Equipment
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Simone Zhang; Janet Xu; A. J. Alvero – Sociological Methods & Research, 2025
The growing popularity of generative artificial intelligence (AI) tools presents new challenges for data quality in online surveys and experiments. This study examines participants' use of large language models to answer open-ended survey questions and describes empirical tendencies in human versus large language model (LLM)-generated text…
Descriptors: Artificial Intelligence, Online Surveys, Responses, Social Science Research
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Charlie Ingram; Alison Halford; Sokipriala Jonah – Curriculum Journal, 2025
With the UK government's target of Net Zero by 2050, alongside the rising cost of energy in the UK, it is imperative that public opinion aligns with and promotes affordable, greener energy systems. Within this dialogue, young people's voices and lived experience are needed to deepen the impact of energy policy intervention strategies. This article…
Descriptors: Energy Education, Foreign Countries, Conservation (Environment), Secondary School Students
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Brooke N. Macnamara; Ibrahim Berber; M. Cenk Çavusoglu; Elizabeth A. Krupinski; Naren Nallapareddy; Noelle E. Nelson; Philip J. Smith; Amy L. Wilson-Delfosse; Soumya Ray – Cognitive Research: Principles and Implications, 2024
Artificial intelligence in the workplace is becoming increasingly common. These tools are sometimes used to aid users in performing their task, for example, when an artificial intelligence tool assists a radiologist in their search for abnormalities in radiographic images. The use of artificial intelligence brings a wealth of benefits, such as…
Descriptors: Artificial Intelligence, Computer Use, Program Effectiveness, Cognitive Ability
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Jale Kalemkus; Fatih Kalemkus – European Journal of Education, 2025
Due to the frequent use of artificial intelligence (AI) technologies in daily life, it is thought that primary school students acquire information about this concept from various sources. The way these sources present AI may affect students' perceptions of AI. In the study, it was aimed to examine the perceptions of third and fourth grade primary…
Descriptors: Elementary School Students, Grade 3, Grade 4, Artificial Intelligence
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Charles Aaron B. Dungo; Zak Laurence E. Beltran; Bryan C. Declaro; Jan Jacek C. Dela-Cruz; Rosan U. Viray – Journal of Education in Science, Environment and Health, 2025
In recent years, the number of studies on artificial intelligence or AI has increased tremendously, and their place in daily life is beginning to be felt more and more each day. Current rise of generative AI tools has brought forth dangers regarding its potential misuse, leading to impacts on the environment. College students were surveyed using…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Technology, Knowledge Level
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Louie Giray; Jomarie Jacob; Daxjhed Louis Gumalin – International Journal of Technology in Education, 2024
The versatility of ChatGPT extends across diverse domains, including scientific research. This study delves into the transformative prospects of integrating ChatGPT into scientific research, achieved through a SWOT analysis. The analysis explores the model's strengths, which encompass a vast knowledge base, language proficiency, information…
Descriptors: Artificial Intelligence, Scientific Research, Misinformation, Cognitive Ability
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Landers, Richard N.; Auer, Elena M.; Mersy, Gabriel; Marin, Sebastian; Blaik, Jason – International Journal of Testing, 2022
Assessment trace data, such as mouse positions and their timing, offer interesting and provocative reflections of individual differences yet are currently underutilized by testing professionals. In this article, we present a 10-step procedure to maximize the probability that a trace data modeling project will be successful: (1) grounding the…
Descriptors: Artificial Intelligence, Data Collection, Psychometrics, Data Science
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Warwick, Claire – New Review of Academic Librarianship, 2021
During the pandemic we have found that the experience of interaction online, whether with other people, or with information is very different from what we do in person. And this experience is seldom compared favourably to physical, interaction. Thanks to the A level algorithm fiasco, algorithms are treated with growing scepticism and social media…
Descriptors: Information Utilization, Decision Making, Artificial Intelligence, Psychological Patterns
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Abiodun Akinwoye Olusipe; Adebowale Jeremy Adetayo; Augustine I. Enamudu; Oluwaseun Odunayo Babalola – Journal of Electronic Resources Librarianship, 2024
This study employed a descriptive survey to investigate librarians' perspectives on data privacy and ethical use of public AI chatbots by patrons. The survey of 34 librarians at private university libraries in Nigeria revealed general awareness of applicable laws and privacy risks, but gaps in specific regulatory knowledge like the GDPR. Ethical…
Descriptors: Librarian Attitudes, Privacy, Ethics, Artificial Intelligence
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Nelson, Laura K.; Burk, Derek; Knudsen, Marcel; McCall, Leslie – Sociological Methods & Research, 2021
Advances in computer science and computational linguistics have yielded new, and faster, computational approaches to structuring and analyzing textual data. These approaches perform well on tasks like information extraction, but their ability to identify complex, socially constructed, and unsettled theoretical concepts--a central goal of…
Descriptors: Coding, Content Analysis, Computer Use, Artificial Intelligence
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Susanne Walan – International Journal of Technology and Design Education, 2025
Since the end of 2022, global discussions on Artificial Intelligence (AI) have surged, influencing diverse societal groups, such as teachers, students and policymakers. This case study focuses on Swedish primary school students aged 11-12. The aim is to examine their cognitive and affective perceptions of AI and their current usage. Data,…
Descriptors: Foreign Countries, Elementary School Students, Artificial Intelligence, Student Attitudes
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Bircan Eyüp; Selvanur Kayhan – International Journal of Education and Literacy Studies, 2023
The present study aims to determine the anxiety and attitudes of pre-service Turkish language teachers towards artificial intelligence and to examine the relationship between the two. The sample group of the study, which was based on a correlational survey design, consisted of 232 pre-service Turkish language teachers studying at 14 different…
Descriptors: Foreign Countries, Preservice Teachers, Language Teachers, Student Attitudes
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Irum Naz; Rodney Robertson – Electronic Journal of e-Learning, 2024
This study explores the feasibility of using AI technology, specifically ChatGPT-3, to provide reliable, meaningful, and personalized feedback. Specifically, the study explores the benefits and limitations of using AI-based feedback in language learning; the pedagogical frameworks that underpin the effective use of AI-based feedback; the…
Descriptors: Artificial Intelligence, Synchronous Communication, Computer Software, Feedback (Response)
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Sinem Aslan; Lenitra M. Durham; Nese Alyuz; Rebecca Chierichetti; Pete A. Denman; Eda Okur; David I. Gonzalez Aguirre; Julio C. Zamora Esquivel; Hector A. Cordourier Maruri; Sangita Sharma; Giuseppe Raffa; Richard E. Mayer; Lama Nachman – British Journal of Educational Technology, 2024
Previous research showed that the parents acknowledged the technology's benefits for their young children's learning, however, they are still worried about the extended screen time, lack of physical activity and lack of social interactions. To address these concerns, we developed Kid Space to enable pedagogically appropriate technology use for…
Descriptors: Parents, Young Children, Artificial Intelligence, Interpersonal Communication
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