AI-Driven Model for Fostering International Cooperation in Open Education: A Roadmap for Innovation and Equity

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Bibliographic Details
Title: AI-Driven Model for Fostering International Cooperation in Open Education: A Roadmap for Innovation and Equity
Language: English
Authors: Azeneth Patiño (ORCID 0000-0003-0919-8108), Sandra Martínez-Pérez (ORCID 0000-0002-7458-1077), Maria Soledad Ramírez-Montoya (ORCID 0000-0002-1274-706X), Jhonattan Miranda (ORCID 0000-0002-4761-6027)
Source: Journal of Interactive Media in Education. 2026 2026(1).
Availability: Institute of Educational Technology, The Open University. Walton Hall, Milton Keynes, MK7 6AA, UK. e-mail: jime@open.ac.uk; Web site: http://jime.open.ac.uk
Peer Reviewed: Y
Page Count: 19
Publication Date: 2026
Intended Audience: Teachers; Policymakers
Document Type: Journal Articles
Reports - Research
Descriptors: Open Education, International Cooperation, Models, Artificial Intelligence, Educational Innovation, Equal Education, Foreign Countries, Technology Uses in Education, Global Approach, Educational Trends, Futures (of Society), International Programs
Geographic Terms: Argentina, Chile, Colombia, Costa Rica, Germany, Guatemala, Spain, United Arab Emirates, United States, Italy, Mexico, Peru, United Kingdom
ISSN: 1365-893X
Abstract: Although artificial intelligence (AI) is transforming educational practices worldwide, there is a limited understanding of how it can shape structured forms of international cooperation in open education. This study asks: "How can AI support international cooperation in open education aligned with global equity agendas?" An instrumental case study was conducted on the UNESCO/ICDE 2025 Residency, involving 110 participants from 13 countries. Data sources included team logs, a post-residency survey with 72 responses, and a co-authored manifesto. These materials were analysed through content analysis, inductive coding, and visual mapping. The results indicate four main contributions: first, ten interdisciplinary projects aligned with UNESCO frameworks; second, broad engagement across five strategic action areas; third, the identification of three key domains, which are Enabling Conditions, Cooperative Processes, and Sustainability Mechanisms; and fourth, the role of AI in enabling collaboration, design, and knowledge sharing. The proposed roadmap presents a scalable model for educators, policymakers, and global networks to foster equitable, AI-driven cooperation in open education.
Abstractor: As Provided
Entry Date: 20260101
Accession Number: EJ1513740
Database: ERIC
Description
Abstract:Although artificial intelligence (AI) is transforming educational practices worldwide, there is a limited understanding of how it can shape structured forms of international cooperation in open education. This study asks: "How can AI support international cooperation in open education aligned with global equity agendas?" An instrumental case study was conducted on the UNESCO/ICDE 2025 Residency, involving 110 participants from 13 countries. Data sources included team logs, a post-residency survey with 72 responses, and a co-authored manifesto. These materials were analysed through content analysis, inductive coding, and visual mapping. The results indicate four main contributions: first, ten interdisciplinary projects aligned with UNESCO frameworks; second, broad engagement across five strategic action areas; third, the identification of three key domains, which are Enabling Conditions, Cooperative Processes, and Sustainability Mechanisms; and fourth, the role of AI in enabling collaboration, design, and knowledge sharing. The proposed roadmap presents a scalable model for educators, policymakers, and global networks to foster equitable, AI-driven cooperation in open education.
ISSN:1365-893X