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Francesco Sovrano; Kevin Ashley; Peter Leonid Brusilovsky; Fabio Vitali – International Journal of Artificial Intelligence in Education, 2025
Explanatory processes are at the core of scientific investigation, legal reasoning, and education. However, effectively explaining complex or large amounts of information, such as that contained in a textbook or library, in an intuitive, user-centered way is still an open challenge. Indeed, different people may search for and request different…
Descriptors: Textbooks, Artificial Intelligence, Legal Education (Professions), Writing Instruction
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Fan Zhang; Chenglu Li; Owen Henkel; Wanli Xing; Sami Baral; Neil Heffernan; Hai Li – International Journal of Artificial Intelligence in Education, 2025
In recent years, the pre-training of Large Language Models (LLMs) in the educational domain has garnered significant attention. However, a discernible gap exists in the application of these models to mathematics education. This study aims to bridge this gap by pre-training LLMs on authentic K-12 mathematical dialogue datasets. Our research is…
Descriptors: Artificial Intelligence, Natural Language Processing, Mathematics Education, Elementary Secondary Education
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Francesca Patterson; Melina A. Kunar – Cognitive Research: Principles and Implications, 2024
Computer Aided Detection (CAD) has been used to help readers find cancers in mammograms. Although these automated systems have been shown to help cancer detection when accurate, the presence of CAD also leads to an over-reliance effect where miss errors and false alarms increase when the CAD system fails. Previous research investigated CAD systems…
Descriptors: Cancer, Computer Use, Identification, Screening Tests
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Karahan, Muhammed Baran; Kaya, Oktay – African Educational Research Journal, 2023
This research was conducted to determine the attitudes of university students with different socio-economic structures towards information and communication technologies, using information and communication technologies (ICT), which are increasingly used in our daily life, by using a descriptive survey model and survey method. Günbatar (2014) and…
Descriptors: Student Attitudes, College Students, Socioeconomic Status, Physical Education
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Fatih Pala – Malaysian Online Journal of Educational Technology, 2023
The smartphones we use in every aspect of our lives can be accessed anywhere without the limitation of physical space. This situation has led to excessive use of smartphones. Individuals, when unable to access their smartphones, experience anxiety and distress, revealing their nomophobic tendencies. Additionally, the availability of internet…
Descriptors: Telecommunications, Handheld Devices, Anxiety, Computer Use
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Yu-Ju Lan; Kai-Yu Tang – Educational Technology & Society, 2025
Research into the use of virtual reality (VR) for educational purposes is increasing, but most of the existing literature focuses on the positive effects of VR on users, with its possible negative effects remaining underexplored. An inadequate understanding of the negative effects can put users at risk. To address this research gap, the main…
Descriptors: Computer Simulation, Computer Uses in Education, Risk, Outcomes of Education
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Judit Fullana; Maria Pallisera; Gemma Díaz-Garolera – Journal of Applied Research in Intellectual Disabilities, 2025
Introduction: The Convention on the Rights of Persons with Disabilities establishes that the support to independent living should be community-based and under the choice and control of each person. This study compares the assessment of support practices by people with intellectual disabilities receiving support versus support staff and by people…
Descriptors: Independent Living, Daily Living Skills, Intellectual Disability, Interpersonal Relationship
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Chengliang Wang; Xiaojiao Chen; Zhebing Hu; Sheng Jin; Xiaoqing Gu – Journal of Computer Assisted Learning, 2025
Background: ChatGPT, as a cutting-edge technology in education, is set to significantly transform the educational landscape, raising concerns about technological ethics and educational equity. Existing studies have not fully explored learners' intentions to adopt artificial intelligence generated content (AIGC) technology, highlighting the need…
Descriptors: College Students, Student Attitudes, Computer Attitudes, Computer Uses in Education
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Betul Aydin; Suleyman Sadi Seferoglu – Turkish Online Journal of Distance Education, 2025
This study aims to conduct validity and reliability of a measurement tool developed to determine university students' levels of digital risk taking. 646 undergraduate students from 8 different universities voluntarily participated in the study. Exploratory and confirmatory factor analyses were conducted to reveal the factor structure of the…
Descriptors: Undergraduate Students, Measures (Individuals), Risk, Test Validity
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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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Melanie B. Richards; Trena M. Paulus – Marketing Education Review, 2025
The integration of artificial intelligence (AI), and particularly generative AI, into research methods is rapidly transforming both academic and industry marketing research, including both methods practices and education regarding these practices. AI application within methods offers new opportunities for enhancing efficiency, automating…
Descriptors: Artificial Intelligence, Research Methodology, Marketing, Researchers
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Lily Lucas Hodges – History Teacher, 2025
A standard learning outcome for students in humanities courses, from middle school into higher education, is to craft clear, specific arguments based on evidence. A common assignment to develop and assess this learning outcome is the take-home essay. Generative AI models, such as ChatGPT, Copilot, and Grammarly, are quickly able to generate such…
Descriptors: Artificial Intelligence, Essays, Computer Uses in Education, History Instruction
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Melissa S. Del Castillo; Hope Y. Kelly – College & Research Libraries, 2025
Libraries can play a role in navigating the Artificial Intelligence (AI) era by integrating these tools into information literacy (IL) programs. To implement generative AI tools like ChatGPT effectively, it is important to understand the attitudes of library professionals involved in IL instruction toward this tool and their intention to use it…
Descriptors: Artificial Intelligence, Information Literacy, Library Instruction, Librarian Attitudes
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Ferit Kiliçkaya; Joanna Kic-Drgas – SAGE Open, 2025
The study explores the role of AI-driven chatbots in fostering collaborative learning among English as a Foreign Language (EFL) teachers. By examining the experiences of 25 pre-service EFL teachers who used a chatbot as part of their teacher training, the study investigates how the tool supports peer interactions, enhances collaborative learning,…
Descriptors: Cooperative Learning, English (Second Language), Artificial Intelligence, Language Teachers
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Aysun Günes; Aysegül Liman Kaban – Higher Education Quarterly, 2025
The rapid integration of artificial intelligence (AI) into higher education has revolutionised academic research and teaching, offered transformative opportunities while raising significant ethical challenges. This Delphi study investigates the ethical dilemmas and institutional requirements for maintaining academic integrity in AI-driven…
Descriptors: Artificial Intelligence, Ethics, Integrity, Higher Education
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