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Valentin A. Dzedik; Jaroslava V. Švarc-Gajic – Education in the Asia-Pacific Region: Issues, Concerns and Prospects, 2025
We elaborated on the concept of smart regions in Russia with a special emphasis on the possibility to deal with the divide between the work market and the university education market in these systems. Attention was also paid to the possibility of using the leading experience of such systems in other regions of Russia, as well as using the…
Descriptors: Foreign Countries, Higher Education, Labor Market, Outcomes of Education
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Nhi Tran; Rachel Burke; Kylie Shaw – Education in the Asia-Pacific Region: Issues, Concerns and Prospects, 2025
In the context of robust digitalization in education, many Vietnamese higher education institutions have actively applied Information and Communication Technologies (ICTs) to improve teaching and learning, research, and management. Alongside rapidly changing institutional practices regarding course provision, organization of learning and teaching,…
Descriptors: Information Technology, Technology Uses in Education, Quality Assurance, Educational Quality
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Balázs Fajt; Emese Schiller – Journal of Academic Ethics, 2025
This mixed-methods study examines the integration of ChatGPT within academic discourse, focusing on its role in education. ChatGPT, an AI chatbot using the GPT model, offers significant benefits such as enhanced plagiarism detection and improved accuracy in academic work. However, it also presents ethical challenges related to academic integrity.…
Descriptors: Artificial Intelligence, Technology Uses in Education, College Students, Student Attitudes
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Mohd Salim Mohamed – Journal of Academic Ethics, 2025
This study provides a critical examination of traditional pedagogies and teaching ethics in science, advocating for the adoption of innovative instructional methodologies that leverage technology to accommodate the diverse learning preferences of contemporary learners. Utilizing the Fuzzy Delphi Method to achieve expert consensus, the research…
Descriptors: Ethics, Science Process Skills, Science Education, Science Instruction
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Ching-Huei Chen; Victor Law – Educational Technology Research and Development, 2025
This study explores the roles of students' help-seeking profiles when seeking help from AI chatbots, specifically ChatGPT, in a digital game-based learning environment, "Summon of Magicrystal." The study involved 102 middle school students who played an online game with the provision of ChatGPT and sought help from ChatGPT while solving…
Descriptors: Help Seeking, Game Based Learning, Artificial Intelligence, Computer Software
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Yiwen Jin; Lies Sercu – Journal of Computer Assisted Learning, 2025
Background: Artificial intelligence has been reshaping many industries, and education is no exception. When ChatGPT burst onto the scene in late 2022, it ignited conversations among educators and researchers alike. Despite growing interest and experimentation with this technology in university classrooms, the field has been missing a comprehensive…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Higher Education
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Boiangiu Razvan-Stefan; Popa Laura Nicoleta; Marius Miha?an – Biochemistry and Molecular Biology Education, 2025
A strong understanding of molecular structure is key for mastering structure-function concepts in life sciences and is based on the visualization of biomolecules. Therefore, various approaches to help students translate between the 2D space of a textbook figure to the 3D space of a molecule have been developed. Object-based learning is an approach…
Descriptors: Computer Peripherals, Printing, Molecular Structure, Scientific Concepts
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Jessica R. Gladstone; Noah L. Schroeder; Steffi Heidig; Shan Zhang; Chris Palaguachi; Marcin Pitera – Educational Psychology Review, 2025
The use of pedagogical agents (PAs) as learning tools within digital learning environments is rising. Previous research shows that PAs can aid learning across various domains and age groups, but their impact on learner motivation is unclear. As PAs become more integrated into learning systems, building an in-depth and theory-driven understanding…
Descriptors: Teaching Methods, Student Motivation, Learning Motivation, Technology Integration
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Haley A. Delcher; Enas S. Alsatari; Adeyeye I. Haastrup; Sayema Naaz; Lydia A. Hayes-Guastella; Autumn M. McDaniel; Olivia G. Clark; Devin M. Katerski; Francois O. Prinsloo; Olivia R. Roberts; Meredith A. Shaddix; Bridgette N. Sullivan; Isabella M. Swan; Emily M. Hartsell; Jeffrey D. DeMeis; Sunita S. Paudel; Glen M. Borchert – Biochemistry and Molecular Biology Education, 2025
Today, due to the size of many genomes and the increasingly large sizes of sequencing files, independently analyzing sequencing data is largely impossible for a biologist with little to no programming expertise. As such, biologists are typically faced with the dilemma of either having to spend a significant amount of time and effort to learn how…
Descriptors: Artificial Intelligence, Technology Uses in Education, Training, Teaching Methods
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Fan Chen; Gaowei Chen – Educational Technology Research and Development, 2025
Inquiry-based learning (IBL) is a practice-oriented approach where students pose questions, conduct investigations, and interpret data to develop scientific knowledge and exploratory skills. Learning analytics (LA) holds great potential to capture these dynamic processes, which provides valuable insights to understand student inquiry behaviours…
Descriptors: Learning Analytics, Inquiry, Active Learning, Educational Research
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Tony Robinson – Journal of Educational Technology, 2025
Generative artificial intelligence (AI) is increasingly transforming higher education by enhancing teaching methodologies, automating administrative tasks, and supporting research initiatives. Faculty adoption of generative AI is crucial for maximizing its potential benefits; however, its acceptance remains inconsistent due to factors such as…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, Technology Integration
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Jade Prata Bueno Barata – Journal for Critical Education Policy Studies, 2025
The present work aims to understand the forms of expropriation and exploitation of teaching work in the context of the pandemic, focusing on the perspective of working women in the first sector of basic education in the private education system of Rio de Janeiro. It will use an intersecctional approach of gender and class, grounded on marxism and…
Descriptors: Commercialization, Women Faculty, COVID-19, Pandemics
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Anh M. Ngo; Abigail Donaghue; Kayla H. Weng; Eileen T. Crehan – Journal of Special Education, 2025
Autistic individuals face challenges in expressing their sexuality and understanding social norms, exacerbated by inadequate sex education. To improve the acquisition of sex education programs, this systematic review identified and synthesized the barriers and facilitators to addressing sex education for autistic learners. A comprehensive database…
Descriptors: Sex Education, Autism Spectrum Disorders, Barriers, Educational Resources
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Jiun-Yao Cheng; Ajit Devkota; Masoud Gheisari; Idris Jeelani; Bryan W. Franz – Journal of Civil Engineering Education, 2025
Artificial intelligence (AI) presents significant opportunities and challenges within the construction industry. Higher education will have a vital role in preparing future professionals to leverage AI tools, and in the effective incorporation of AI into construction curriculums is a topic of debate. As educators, construction faculty can offer…
Descriptors: Artificial Intelligence, Technology Integration, Construction Industry, Career and Technical Education
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Maha Salem; Khaled Shaalan – Education and Information Technologies, 2025
The proliferation of digital learning platforms has revolutionized the generation, accessibility, and dissemination of educational resources, fostered collaborative learning environments and producing vast amounts of interaction data. Machine learning (ML) algorithms have emerged as powerful tools for analyzing these complex datasets, uncovering…
Descriptors: Electronic Learning, Prediction, Models, Educational Technology
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