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Ying Liu – International Journal of Web-Based Learning and Teaching Technologies, 2025
"Internet plus Music Education" has the characteristics of full-scene learning ecology, data-driven model innovation, and immersion experience upgrade, and the exploration of educational metauniverse and the breakthrough of educational big model have become an important development trend, and the industrial ecology is also undergoing…
Descriptors: Music Education, Models, Sustainability, Internet
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Chaleomkiat Kitsanajan; Pattarawat Jeerapattanatorn; Sutithep Siripipattanakul; Thanapat Sripan – World Journal of Education, 2025
Entrepreneurship education is increasingly emphasized in primary schools, yet many teachers are not adequately prepared to effectively cultivate students' entrepreneurial skills. This study investigated primary teachers' professional development needs for promoting entrepreneurial characteristics among students and developed a tailored learning…
Descriptors: Elementary School Teachers, Entrepreneurship, Faculty Development, Technology Integration
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Elisa Martinez Marroquin; Bouchra Senadji – International Journal of Information and Learning Technology, 2025
Purpose: Technology, such as artificial intelligence (AI), is transforming the way we work; however, it is yet to systemically transform learning at the workplace beyond augmentation of formal education's learning processes. This paper derives functional requirements for technologies that support workplace learning and assesses the suitability and…
Descriptors: Workplace Learning, Artificial Intelligence, Educational Change, Technology Integration
Lori Lockyer; Shirley Agostinho; Sue Bennett; Lauren Knussen; Melinda Plumb – Springer, 2025
This book provides a comprehensive examination of teacher design thinking and practice, structured across ten chapters that can be read either as a complete narrative or as standalone works. The content is organized into three parts--Part 1: Foundations and frameworks (Chapters 1-3)--Establishes the theoretical groundwork for understanding…
Descriptors: Design, Cognitive Processes, Teachers, Educational Practices
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Attasit Wiangkham; Rattawut Vongvit – Education and Information Technologies, 2024
The rapid development of metaverse technology provides countless opportunities for social interaction, collaboration, communication, and knowledge-sharing that will significantly impact human life. To ensure widespread adoption and acceptance, however, issues concerning approval, accessibility, privacy, and user behavior must be resolved.…
Descriptors: Technology Integration, Computer Simulation, Engineering Education, Models
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Mostafa Al-Emran; Bassam Abu-Hijleh; AbdulRahman A. Alsewari – Education and Information Technologies, 2025
Generative Artificial Intelligence (AI) refers to advanced systems capable of creating new content by learning from vast datasets, including text, images, and code. These AI tools are increasingly being integrated into various sectors, including education, where they have the potential to enhance learning experiences. While the existing literature…
Descriptors: Artificial Intelligence, Technology Integration, Information Systems, Success
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Hsi-Hsun Yang – International Review of Research in Open and Distributed Learning, 2024
This study proposes a hypothetical model combining the unified theory of acceptance and use of technology (UTAUT) with self-determination theory (SDT) to explore design professionals' behavioral intentions to use artificial intelligence (AI) tools. Moreover, it incorporates job replacement (JR) as a moderating role. Chinese-speaking design…
Descriptors: Artificial Intelligence, Design, Intention, Models
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Ben Oliver D. Tutor; Emerson R. Rico – Journal of Academic Ethics, 2026
The integration of technology into education, though beneficial, has also raised concerns about academic dishonesty. Digital tools and platforms provide new opportunities for students to engage in behaviors that could undermine academic integrity. Understanding why students commit these acts is crucial for designing effective policies to mitigate…
Descriptors: Technology Uses in Education, Artificial Intelligence, Natural Language Processing, Cheating
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Weikang Lu; Chenghua Lin – Asia-Pacific Education Researcher, 2025
Based on the UTAUT model, many studies have analyzed the factors influencing the use of artificial intelligence by teachers and students, but the conclusions are not uniform. This study chose high quality studies and encoded them to do meta analysis. After heterogeneity testing, sensitivity analysis and publication bias test, it has been found…
Descriptors: Meta Analysis, Technology Integration, Computer Software, Artificial Intelligence
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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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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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Abdullah Alrubaian – Education and Information Technologies, 2025
As artificial intelligence becomes more widespread, tools such as GPT-3.5, GPT-4, and Google Gemini are also increasingly used as additional resources to help parents understand dyslexia. However, the validity and precision of these instruments have not been studied well. This cross-sectional study assessed ChatGPT-3.5, ChatGPT-4, and Gemini on…
Descriptors: Artificial Intelligence, Accuracy, Models, Dyslexia
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Mohamed Hashim, Mohamed Ashmel; Tlemsani, Issam; Duncan Matthews, Robin – Education and Information Technologies, 2022
Universities focus on digital transformation strategy to stay competitive in global education, staying competitive is taking on quite a different meaning in the 21st century -- it includes the long-term implications of COVID-19 -- the interaction of politics and economics, the emergence of China as a superpower, the end of neoliberalism, the…
Descriptors: Universities, Models, Sustainability, Educational Change
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Tao Huang; Jing Geng; Yuxia Chen; Han Wang; Huali Yang; Shengze Hu – Education and Information Technologies, 2024
Digital technology is profoundly transforming various aspects of life, thus highlighting the need to enhance digital literacy on a national scale. In primary and secondary schools, artificial intelligence (AI) education plays a pivotal role in fostering digital literacy. To comprehensively investigate the variables influencing AI education in…
Descriptors: Artificial Intelligence, Elementary Schools, Secondary Schools, Prediction
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Bekir Yildirim; Ahmet Tayfur Akcan – Journal of Education in Science, Environment and Health, 2024
This study aimed to propose a Professional Development Model (PDM) for chemistry teachers to enhance their professional development in Artificial Intelligence (AI). The research group consisted of 17 chemistry teachers. The study was designed using a particular case study suitable for qualitative research methods. Document review, teacher…
Descriptors: Artificial Intelligence, Faculty Development, Science Teachers, Chemistry
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