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Cong Doanh Duong; Trong Nghia Vu – Higher Education, Skills and Work-based Learning, 2025
Purpose: This study investigates how entrepreneurship education influences e-entrepreneurial intention through e-entrepreneurial self-efficacy, with generative artificial intelligence incorporation as a moderating factor. The study uses the stimulus-organism-response (SOR) framework to comprehensively understand the relationship between…
Descriptors: Foreign Countries, Entrepreneurship, Business Education, Artificial Intelligence
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Yijun Chen; Yi Zhong; Min Wang – SAGE Open, 2025
Older individuals often rely on informal methods, predominantly familial assistance, to acquire digital technology skills. However, as the number of universities for older adults in China has increased, there has been a notable shift toward formal digital education. This study examines participants in smartphone training courses at Shanghai…
Descriptors: Foreign Countries, Older Adults, Telecommunications, Handheld Devices
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Wenkang Zhang; Albert W. Li; Chenze Wu – Instructional Science: An International Journal of the Learning Sciences, 2025
The rising application of Generative Artificial Intelligence (GenAI) tools like ChatGPT, Bing Chat, and Bard in language teaching and learning heralds a transformative era. Yet, the experiences and perspectives of university students on integrating these tools into their translation studies remain underexplored. This qualitative study, conducted…
Descriptors: College Students, Student Attitudes, Technology Uses in Education, Artificial Intelligence
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Sabine Schlag; Sabine Glock – Instructional Science: An International Journal of the Learning Sciences, 2025
Research has shown that, in general, students are treated differently on the basis of their achievement levels and ethnicity. Such differential treatment might also result in the administration of different learning materials, and so far, not much is known about how teachers choose these materials for different students. In two vignette studies,…
Descriptors: Ethnicity, Instructional Materials, Preservice Teachers, Video Technology
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Xu Liu; Yuning Fang; Xiang Lan – Higher Education Quarterly, 2025
As artificial intelligence (AI), particularly generative models, becomes increasingly integrated into global education systems, China's higher education sector is undergoing profound transformation. This article examines how AI is being regulated, institutionalised and contested within Chinese universities. Drawing on policy document analysis and…
Descriptors: Foreign Countries, Artificial Intelligence, Technology Uses in Education, Higher Education
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Lucas Paulsen; Jacob Davidsen – International Journal of Computer-Supported Collaborative Learning, 2025
The development of immersive virtual reality (IVR) hardware and software has accelerated in recent years. The conceptual vocabulary has, however, not received the same amount of attention, especially in the context of collaborative learning settings. Existing concepts such as immersion, presence and interactivity focus predominantly on the…
Descriptors: Cooperative Learning, Computer Simulation, Simulated Environment, Learning Activities
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Jeickon Fernando Villamil Matallana; Maximiliano Paredes-Velasco – Instructional Science: An International Journal of the Learning Sciences, 2025
Individuals with Down syndrome face cognitive limitations that hinder learning and understanding in various contexts. Dance, which has rarely been explored in special education, offers improvements in acquiring skills including motor and emotional development. The use of mobile learning tools can also have a positive impact on the learning process…
Descriptors: Down Syndrome, Dance, Competence, Psychological Patterns
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Calvin Cheah Wei Chieh; Wong Teik Aun – Journal of Educational Technology Systems, 2025
This study examines Malaysian university students' engagement with two AI-based learning tools, ChatGPT and Google Gemini, focusing on learning support, usability, and emotional responses. A qualitative case study approach was adopted, involving semi-structured interviews and a focus group with ten undergraduates from diverse disciplines at a…
Descriptors: Foreign Countries, Undergraduate Students, Artificial Intelligence, Technology Uses in Education
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Alexander J. V. Selling; Kirsti Klette; Guri A. Nortvedt – Mathematics Education Research Journal, 2025
Clear learning goals are an integral part of instructional clarity and seen as a factor influencing students' motivation and learning processes. However, goal communication and the types of goals teachers set are rarely addressed in classroom studies. To further the understanding of these aspects, the purpose of this study was to investigate…
Descriptors: Learning Objectives, Video Technology, Secondary School Mathematics, Foreign Countries
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Manop Nammanee; Thada Jantakoon; Rukthin Laoha – Higher Education Studies, 2025
The accelerating adoption of AI in education highlights the need for an assistant that is explicitly grounded in competency-based learning to develop learners' digital competencies. This study proposes the AI Assistant Framework on Competency-Based Learning for Digital Competency Development (AICoLED) and evaluates its appropriateness through…
Descriptors: Artificial Intelligence, Competency Based Education, Technology Uses in Education, Technological Literacy
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AbdElRahman ElSaid; Yao Shi; Mohamed Wiem Mkaour; Mahmoud Altalouli; Anas Tawfik – Journal of Information Systems Education, 2025
The growing integration of artificial intelligence (AI) into everyday life necessitates a transformation in machine learning (ML) education and development practices, empowering end users with domain knowledge to independently design, train, test, and deploy specialized ML models. However, the technical complexity of ML, particularly in areas such…
Descriptors: Open Source Technology, Artificial Intelligence, Usability, Computer Interfaces
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Ana Ester Garcia de Paiva Pinheiro; Ana Regina Mizrahy Cuperschmid; Felipe Corres Melachos – Turkish Online Journal of Educational Technology - TOJET, 2025
Furniture assembly is often perceived as a confusing and demotivating task, especially when relying on traditional manuals and/or online videos, which can be mis. Do It Yourself (DIY) furniture manufacturing can be even more challenging, as it requires not only assembly steps but also material fabrication stages, often demanding access to advanced…
Descriptors: Furniture, Computer Simulation, Manufacturing, College Students
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Ningning Wang; Thosporn Sangsawang – Turkish Online Journal of Educational Technology - TOJET, 2025
The objectives of this study were to: 1) investigate the efficiency of E-learning on Career Development and Career Planning undergraduate from Yunnan, China, 2) compare students' achievements before and after learning through earning on Career Development and Career Planning from Yunnan, China, and 3) examine students' satisfaction with of using…
Descriptors: Electronic Learning, Career Development, Career Planning, Undergraduate Students
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Ali Al Ghaithi; Behnam Behforouz – Australian Journal of Applied Linguistics, 2025
This study aimed to assess the impact of digital storytelling on learners' receptive and productive vocabulary knowledge. For this purpose, 48 participants with intermediate English proficiency were divided into two equal groups: control and experimental. After conducting the pretest, implementing the treatment for the experimental group, and…
Descriptors: Story Telling, Vocabulary Development, Second Language Learning, English (Second Language)
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Zeger-jan Kock; Ulises Salinas-Hernández; Birgit Pepin – Digital Experiences in Mathematics Education, 2025
ChatGPT is a new technological tool with the potential to impact education. Using Vergnaud's notion of "use schemes," we analyzed three interviews with engineering students who discovered ChatGPT and started to develop initial utilization schemes of the tool. Results showed that there were three domains of use of ChatGPT: (a) in…
Descriptors: Engineering Education, Artificial Intelligence, Natural Language Processing, Technology Uses in Education
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