Article
Version 1
This version is not peer-reviewed
Flipped Learning and Artificial Intelligence
Version 1
: Received: 30 July 2024 / Approved: 30 July 2024 / Online: 1 August 2024 (04:54:52 CEST)
How to cite: López-Villanueva, D.; Santiago, R.; Palau, R. Flipped Learning and Artificial Intelligence. Preprints 2024, 2024072498. https://doi.org/10.20944/preprints202407.2498.v1 López-Villanueva, D.; Santiago, R.; Palau, R. Flipped Learning and Artificial Intelligence. Preprints 2024, 2024072498. https://doi.org/10.20944/preprints202407.2498.v1
Abstract
The potential influence of Artificial Intelligence (AI) is obvious in all the elements of teaching and learning processes. Some of the most used methodological approaches of the last decade have been Flipped Classroom and Flipped Learning. This article explores the intersection between Flipped Learning and AI through qualitative research based on interviews with international experts in the field. The results reveal the significant impact of AI on education, highlighting how AI tools are transforming teaching and learning methodologies. Additionally, the evolution of Flipped Learning with the integration of AI is analyzed, showing how this combination enhances personalized learning and improves student engagement. Finally, the role of the teacher in this new educational paradigm is discussed, emphasizing the need for continuous adaptation and the development of new competencies to fully leverage emerging technologies. With this study, we aim to provide an overview of the opportunities and challenges that AI presents in the context of Flipped Learning.
Keywords
Flipped Learning; Artificial Intelligence; AIEd
Subject
Social Sciences, Education
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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