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Showing 1 to 15 of 44 results Save | Export
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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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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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Stefan E. Huber; Kristian Kiili; Steve Nebel; Richard M. Ryan; Michael Sailer; Manuel Ninaus – Educational Psychology Review, 2024
This perspective piece explores the transformative potential and associated challenges of large language models (LLMs) in education and how those challenges might be addressed utilizing playful and game-based learning. While providing many opportunities, the stochastic elements incorporated in how present LLMs process text, requires domain…
Descriptors: Artificial Intelligence, Language Processing, Models, Play
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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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Yosua Damas Sadewo; Basuki Wibawa; Ivan Hanafi; Pebria Dheni Purnasari; Totok Victor Didik Saputro – Journal of Education and Learning (EduLearn), 2025
The selection process of a coaching model should be an initial consideration before conducting training activities. However, the limited availability of coaching models hinders the delivery of quality training programs. Therefore, it is necessary to have options for coaching models. This research aims to develop a goal, actual, alternative, plan,…
Descriptors: Coaching (Performance), Blended Learning, Models, Faculty Development
Kelly Mills; Pati Ruiz; Keun-woo Lee; Merijke Coenraad; Judi Fusco; Jeremy Roschelle; Josh Weisgrau – Digital Promise, 2024
To enable all who participate in educational settings to leverage AI tools for powerful learning, this paper describes a framework and strategies for educational leaders to design and implement a clear approach to AI literacy for their specific audiences (e.g. learners, teachers, or others) that are safe and effective. The first part of the paper…
Descriptors: Artificial Intelligence, Technological Literacy, Models, Technology Integration
Sierra Noakes; Alison Shell; Alexis M. Murillo; Parker Van Nostrand; Pati Ruiz; Shayla Cornick; Sana Karim – Digital Promise, 2024
This report shares the learnings across 28 exploratory projects from teams across K-12 school districts, nonprofits, and nonprofit and for-profit edtech companies, leveraging AI to support numerous goals across K-12 educational settings. Through this report, we aim to highlight the early successes of AI, surface the key barriers that call for…
Descriptors: Ethics, Equal Education, Artificial Intelligence, Technology Uses in Education
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Lisa Flanders-Dick; Joanne L. Hood; Dustin Hebert; Ric Shrubb – AASA Journal of Scholarship & Practice, 2024
Technology-enhanced teaching and learning (TETL) is the integration of technology into teaching and learning practices to improve the quality of learning outcomes. This is an essential strategy for improving educational quality. School leaders significantly affect the integration of effective TETL in classrooms, and the International Society for…
Descriptors: Instructional Leadership, Technology Uses in Education, Technology Integration, Teaching Methods
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Hon Keung Yau; Ka Fai Tung – Turkish Online Journal of Educational Technology - TOJET, 2025
This study explores the development and evaluation of a chatbot model designed to facilitate learning within a department of a university. The project aims to enhance the learning experience by incorporating customized data into the chatbot's knowledge base, enabling personalized and context-aware interactions. The research investigates the…
Descriptors: Instructional Effectiveness, Artificial Intelligence, Computer Software, Technology Integration
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Chih-Hung Lin; Dadan Sumardani – Interactive Learning Environments, 2024
Virtual Reality (VR) has been widely adopted in educational research; however, its implementation in the classroom is still not as well known as in the research field. In other words, there is a gap between researchers and practitioners regarding the pedagogical issue. This study aimed to explore how VR could be applied in science classrooms using…
Descriptors: Computer Simulation, Teaching Methods, Science Education, Authentic Learning
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Corey Schimpf; Brian Castellani – International Journal of Social Research Methodology, 2024
Advances in the integration of smart technology with interdisciplinary methods has created a new genre, approachable modeling and smart methods -- AM-Smart for short. AM-Smart platforms address a major challenge for applied and public sector analysts, educators and those trained in traditional methods: accessing the latest advances in…
Descriptors: Technology Integration, Technology Uses in Education, Computer Oriented Programs, Artificial Intelligence
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Shamma Hamdoon Al Naqbi – SAGE Open, 2024
Technology brings tremendous changes in education because it is a system that automates all educational institutions and academic performance. Therefore, the study examines the effect of technology's system, information and service quality on faculty, operational and university performance. To explore the more contextual factors, this study…
Descriptors: Technology Uses in Education, Foreign Countries, Success, Technology Integration
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