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Carbonara, Nunzia; Scozzi, Barbara; Pellegrino, Roberta – Journal of Workplace Learning, 2023
Purpose: This paper aims to provide an easy-to-use yet powerful tool to assess the organizational readiness to adopt effective Smart Working (SW). In light of this main objective, based on the current state of research, the study develops a maturity model to assess the SW organizational readiness (SWOR). The SWOR maturity model consists of three…
Descriptors: Readiness, Foreign Countries, Models, Questionnaires
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
Janeen Pizzo; Natalie Sue Svrcek; Kathleen Colantonio-Yurko; Averill Kelley; Henry Miller; Nicole Coppola – Clearing House: A Journal of Educational Strategies, Issues and Ideas, 2023
As teacher educators who need to support the next generation of practitioners with technology and practice in the post-COVID teaching landscape, we draw on PICRAT (Kimmons, Graham, and West 2020) to guide our instructional work. This paper primarily addresses the ways that PICRAT has moved beyond TPACK and SAMR, two foundational theories for…
Descriptors: Instructional Materials, Material Development, Technological Literacy, Pedagogical Content Knowledge
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
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
Ashraf Alam; Atasi Mohanty – Cogent Education, 2024
The researchers developed an Integrated Constructive Robotics in Education (ICRE) model that represents a pioneering framework designed to revolutionize educational landscapes by integrating robotics into pedagogical settings. This research introduces the ICRE model, elucidating its multifaceted dimensions and envisioning its profound impact on…
Descriptors: Technology Integration, Technology Uses in Education, Robotics, Models
Selçuk Kilinç – Journal of Educational Technology and Online Learning, 2024
The integration of generative artificial intelligence (GenAI) tools into education has been a game-changer for teaching and assessment practices, bringing new opportunities, but also novel challenges which need to be dealt with. This paper presents the Comprehensive AI Assessment Framework (CAIAF), an evolved version of the AI Assessment Scale…
Descriptors: Artificial Intelligence, Evaluation Methods, Ethics, Technology Integration
Umair Ali Khan; Janne Kauttonen; Lili Aunimo; Ari Alamäki – Journal of Information Technology Education: Research, 2024
Aim/Purpose: The purpose of this paper is to address the challenges posed by disinformation in an educational context. The paper aims to review existing information assessment techniques, highlight their limitations, and propose a conceptual design for a multimodal, explainable information assessment system for higher education. The ultimate goal…
Descriptors: Artificial Intelligence, Higher Education, Trust (Psychology), Barriers
Brandon J. Yik; David G. Schreurs; Jeffrey R. Raker – Journal of Chemical Education, 2023
Acid-base chemistry, and in particular the Lewis acid-base model, is foundational to understanding mechanistic ideas. This is due to the similarity in language chemists use to describe Lewis acid-base reactions and nucleophile-electrophile interactions. The development of artificial intelligence and machine learning technologies has led to the…
Descriptors: Educational Technology, Formative Evaluation, Molecular Structure, Models
Tondeur, Jo; Petko, Dominik; Christensen, Rhonda; Drossel, Kerstin; Starkey, Louise; Knezek, Gerald; Schmidt-Crawford, Denise A. – Educational Technology Research and Development, 2021
In order to effectively use technology in education, appropriate conceptual understandings are needed to guide the integration process. Today, there is a wide range of conceptual models that are developed and used in research and/or practice focusing on educational technology integration. Conceptual models are of relevance as they can bridge…
Descriptors: Teaching Methods, Technology Integration, Educational Technology, Theory Practice Relationship
Forkosh-Baruch, Alona; Phillips, Michael; Smits, Anneke – Educational Technology Research and Development, 2021
This article focuses on preservice and in-service teachers' pedagogical reasoning, decision making and action concerning technology integration for learning. We examine this topic in light of three contemporary barriers in policy, practice and research, namely: the lack of an integrative model that considers how teachers come to shape their…
Descriptors: Decision Making, Thinking Skills, Technology Integration, Preservice Teachers
Tan, Seng Chee; Chan, Carol; Bielaczyc, Katerine; Ma, Leanne; Scardamalia, Marlene; Bereiter, Carl – Educational Technology Research and Development, 2021
This paper examines the alignment of education with the needs for knowledge creation in the digital age using the Knowledge Building model and Knowledge Forum® technology. Knowledge Building is akin to knowledge creation as practiced in research laboratories and other frontier-advancing organizations, with added focus on value to the individual,…
Descriptors: Alignment (Education), Models, Educational Change, Educational Innovation
Crawford, Caroline M.; Moffett, Noran L.; Wallace, Jennifer Young – International Journal on E-Learning, 2020
Disruptions impacting the teaching and learning aspects of instruction have been realized throughout the Twentieth Century as well as the dawning of the Twenty-First Century with the Information Age also referred to as the Digital Age and even the Fourth Industrial Revolution as artificial intelligence and serious gaming are introduced into the…
Descriptors: Lesson Plans, Models, Curriculum Design, Self Efficacy
Ölmez, Rabia; Ulutas, Nurdan Kavakli – Indonesian Journal of English Language Teaching and Applied Linguistics, 2023
Technology acceptance is rooted at the center of the growing body of research in lieu of education, educational technology, and teacher education. This is mainly occupied with the idea of integrating technology into the classroom setting in order to trigger learners to be advanced in higher-order thinking skills and be digitally literate in order…
Descriptors: Educational Technology, Technology Integration, Teaching Methods, Thinking Skills
Kimmons, Royce; Graham, Charles R.; West, Richard E. – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2020
Technology integration models are theoretical constructs that guide researchers, educators, and other stakeholders in conceptualizing the messy, complex, and unstructured phenomenon of technology integration. Building on critiques and theoretical work in this area, the authors report on their analysis of the needs, benefits, and limitations of…
Descriptors: Models, Technology Integration, Preservice Teacher Education, Educational Benefits