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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
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
Curry, John H.; Jackson, Sean R.; Morin, Heather – TechTrends: Linking Research and Practice to Improve Learning, 2022
For years, researchers and practitioners alike have searched for meaningful ways to describe or evaluate how technology was being integrated into teaching or to what level. This article will briefly summarize some of the predominant lenses through which to view technology integration and propose a new model for designing meaningfully…
Descriptors: Technology Integration, Educational Technology, Instructional Design, Models
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
Sackstein, Suzanne; Matthee, Machdel; Weilbach, Lizette – Education and Information Technologies, 2023
Research that employs theory provides a framework and structure in which complex phenomenon, can be understood. While many theories have been developed to study people's technology usage, the plurality of perspectives offered are complex to navigate due to the diverse range of problems and topics addressed and the varied theoretical foundations…
Descriptors: Educational Theories, Models, Technology Uses in Education, Hermeneutics
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
Bicalho, Rute Nogueira de Morais; Coll, César; Engel, Anna; Lopes de Oliveira, Maria Cláudia Santos – Educational Technology Research and Development, 2023
This article aims to analyze the experiences of teachers on the uses of ICTs in the development of teaching practices within the framework of a new learning ecology. We use the SAMR model to scale the levels of ICTs contributions in each practice. 116 teachers from a public educational institution in Brazil answered a questionnaire during the…
Descriptors: Technology Uses in Education, Technology Integration, Information Technology, Teaching Methods
Nicole Calma-Roddin; Kevin Park; Jacqueline Keighron – Journal of Chemical Education, 2023
The three-dimensional nature of macromolecules is often difficult for undergraduate students to grasp. This leads to difficulties in understanding key concepts in Biochemistry, such as protein function and conformational change. Virtual reality (VR) technologies, which can aid students in three-dimensional visualizations, have been shown to…
Descriptors: Technology Integration, Technology Uses in Education, Museums, Undergraduate Students
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
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
Longwei Zheng; Tong Liu; Yuanyuan Feng; Xiaoqing Gu; Ming-Hua Yu – SAGE Open, 2024
Understanding the teacher's technology adoption process is essential to comprehend and narrow the digital divide in the post-epidemic age. During the pandemic, the stay-at-home orders not only intervened schooling and teaching but also increased digital accessibility to teachers. This research studies teacher heterogeneity and adoption controls in…
Descriptors: COVID-19, Pandemics, Technology Integration, Technology Uses in Education
Helen Crompton; Diane Burke; Christine Nickel; Agnes Chigona – Asian Journal of Distance Education, 2024
Effective integration of technology is critical for online, blended, hybrid, and face-to-face learning. The purpose of this paper is to introduce the SETI (Socio-Ecological Technology Integration) framework and explain what it adds to the scholarly research regarding effective technology integration. The SETI framework goes beyond previous…
Descriptors: Technology Integration, Models, Holistic Approach, COVID-19
Jamie Magrill; Barry Magrill – Teaching & Learning Inquiry, 2024
The rapid advancement of artificial intelligence technologies, exemplified by systems including Open AI's ChatGPT, Microsoft's Bing AI, and Google's Bard (now Gemini 1.5Pro), present both challenges and opportunities for the academic world. Higher education institutions are at the forefront of preparing students for this evolving landscape. This…
Descriptors: Higher Education, Artificial Intelligence, Technological Advancement, Technology Integration
Elizabeth Langran; Paula Cristina R. Azevedo; Oliver Dreon; Stephanie Smith Budhai; Clara Hauth – Impacting Education: Journal on Transforming Professional Practice, 2025
This essay presents a framework of critical questions designed to guide EdD program leaders and faculty in integrating generative artificial intelligence (GenAI) into their curricula and policies. The REPAC framework aids in reflecting, reenvisioning, and redesigning educational practices to better incorporate GenAI, focusing on how candidates…
Descriptors: Doctoral Programs, Education Majors, Artificial Intelligence, Natural Language Processing