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Sotiroula Theodosi; Iolie Nicolaidou – Education and Information Technologies, 2025
The preventability of skin cancer stresses the need for primary prevention interventions early in life to help children realize how dangerous ultraviolet radiation (UVR) exposure can be. Internet of Things (IoT) devices can be used to measure UVR intensity in real-time to help children visualize it and understand the need for sun protection from…
Descriptors: Cancer, Prevention, Health Promotion, Health Behavior
Abdelmadjid Benmachiche; Abdelhadi Sahia; Soundes Oumaima Boufaida; Khadija Rais; Makhlouf Derdour; Faiz Maazouzi – Education and Information Technologies, 2025
In the context of massive open online courses (MOOCs), searching and retrieving information can be challenging because there is a huge amount of unstructured content, which creates a problem and makes it difficult for users to quickly find relevant lessons or resources. As a result, learners and teachers face significant barriers to accessing the…
Descriptors: MOOCs, Natural Language Processing, Artificial Intelligence, Search Engines
Jill E. Stefaniak; Lisa A. Giacumo; Jin Joy Mao; Tutaleni I. Asino – Journal of Computing in Higher Education, 2025
This paper examines the value of embedding a systems-thinking lens in higher education research. A systems approach enables institutions to move beyond isolated interventions to explore the broader relationships and structures influencing learning and development by addressing the interconnected dimensions of people, processes, and technology. The…
Descriptors: Systems Approach, Higher Education, Educational Research, Man Machine Systems
Lixuan Sun – Education and Information Technologies, 2025
This study explores the impact of AI tools on learning Business Interpretation by examining the perceptions of master's students majoring in English-Chinese interpretation and their teachers. Through qualitative interviews with 8 students and 2 teachers, the research investigates how AI tools influence educational outcomes, including their…
Descriptors: Translation, English, Chinese, Artificial Intelligence
Jorelyn E. Insorio – International Journal of Technology in Education and Science, 2025
The National Learning Camp (NLC) serves as the national recovery program of the Philippine Department of Education (DepEd) using a camp-like learning experience. Hence, learning materials were distributed to the students, and teacher-student interaction was limited to forty-five minutes, insufficient to cover all required lessons. So, teacher-made…
Descriptors: Instructional Materials, Video Technology, Camps, Teacher Developed Materials
Ingrid Forsler; Carina Guyard – Learning, Media and Technology, 2025
Contemporary education in Sweden is characterized by two parallel processes: the implementation of digital tools in the classroom, on the one hand, and an increased emphasis on brain-based learning, on the other. Proponents of the latter strand of 'neuroeducation' claim that digital media might have harmful effects on learning and cognitive…
Descriptors: Computer Use, Technology Uses in Education, Neurology, Cognitive Development
David C. Johnson; Marcie Coulter-Kern – Active Learning in Higher Education, 2025
Research shows that active-learning methods (e.g. discussion) are often superior to passive methods (e.g. lecture) with respect to learning outcomes. However, students sometimes report preferring and learning more in lecture-style classes compared to those in which they play an active role. These and related findings suggest students may lack…
Descriptors: Active Learning, Lecture Method, Instructional Design, Technology Uses in Education
Olga V. Khmyz; Natalya V. Sergeeva; Anna A. Prudnikova – Education in the Asia-Pacific Region: Issues, Concerns and Prospects, 2025
The research analyzes opportunities of current trends in the educational sphere at the global level formed under the influence of the achievements of the fourth industrial revolution and contemporary force majeure factors (the COVID-19 pandemic and geopolitical tensions). The research methodology explains why lifelong learning technologies are…
Descriptors: Lifelong Learning, Educational Technology, Educational Development, Industrialization
Ning Wang; Ying Li; Fengyu Cong – Journal of Academic Ethics, 2025
Privacy concerns are among the most critical ethical issues in applying generative artificial intelligence (GAI) tools in education. This study examines university students' privacy concerns regarding GAI, investigating the causes, consequences, and educational implications of these concerns. We employed a qualitative research design featuring…
Descriptors: College Students, Student Attitudes, Privacy, Artificial Intelligence
Hanna Aarnio; Maria Clavert; Auli Toom; Kaiju Kangas – International Journal of Technology and Design Education, 2025
In multidisciplinary technology education, teachers work together to support pupils in designing with technology. The different forms of support are based on establishing pedagogical infrastructures for pupils' learning of technology. Although previous studies have identified the main forms of pedagogical infrastructure, how they can be leveraged…
Descriptors: Interdisciplinary Approach, Technology Education, Teacher Collaboration, Educational Planning
Sandra Leaton Gray; Dominic Edsall; Dimitris Parapadakis – Journal of Academic Ethics, 2025
The proliferation of generative artificial intelligence challenges the credibility of assessment in higher education. This article advances a theoretical argument that universities must move beyond detection-based strategies towards ethically grounded, validity-driven assessment practices. Drawing on Ajzen's Theory of Planned Behaviour, Bandura's…
Descriptors: Artificial Intelligence, Technology Uses in Education, Cheating, Plagiarism
Jamie Herman; Henry Lara-Steidel – Educational Theory, 2025
The launch of the powerful generative AI tool ChatGPT in November 2022 sparked a wave of fear across higher education. The tool could seemingly be used to write essays and do other work without students putting in the effort expected of them. In this paper, Jamie Herman and Henry Lara-Steidel posit a way of addressing the concerns over ChatGPT and…
Descriptors: Artificial Intelligence, Technology Uses in Education, Role of Education, Higher Education
Min Liu; Songhee Han; Peixia Shao; Ying Cai – Educational Technology Research and Development, 2025
To help young students succeed in problem-based learning (PBL), researchers suggested investigating students' need for cognition (NFC), one's inclination to exert mental effort during learning. How one puts mental effort into a learning task is related to motivation. If motivated, students are more likely to engage in challenging tasks, put in…
Descriptors: Cognitive Processes, Middle School Students, Learning Motivation, Technology Uses in Education
Kristen A. Behrens; Gili Marbach-Ad; Thomas D. Kocher – Journal of Science Education and Technology, 2025
Since it became available free to the public in November of 2022, ChatGPT and other large-language model AIs have impacted the higher education classroom. Some fear that this is the end of essay-based assignments, as these are easily generated by ChatGPT. Principles of Genetics, an entry level genetics class, has previously incorporated a creative…
Descriptors: Artificial Intelligence, Technology Uses in Education, Creative Writing, Genetics
David Troy – Community College Enterprise, 2025
This paper argues that generative AI has become ubiquitous in academia, making irrelevant the debates about whether or not to allow it. Instead, the author advocates for transparency and accountability frameworks that acknowledge AI's presence while preserving academic integrity. The paper examines the challenges educators face: unreliable…
Descriptors: Artificial Intelligence, Integrity, Technology Uses in Education, Accountability

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