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ERIC Number: EJ1472836
Record Type: Journal
Publication Date: 2025-Jun
Pages: 16
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-0141-8211
EISSN: EISSN-1465-3435
Available Date: 2025-05-19
Navigating the Future: Establishing a Framework for Educators' Pedagogic Artificial Intelligence Competence
European Journal of Education, v60 n2 e70117 2025
As artificial intelligence (AI) rapidly transforms educational practices, educators worldwide face an urgent need to develop pedagogic competencies that align with AI's evolving capabilities, yet existing frameworks lack systematic guidance for AI-specific skill development. This article introduces a pioneering framework designed to refine educators' pedagogic competencies in the rapidly evolving landscape of AI. Drawing inspiration from esteemed models for teacher knowledge development, such as the Technological Pedagogical Content Knowledge (TPACK) and the Digital Competence of Educators framework, this framework sets out to serve as a fundamental benchmark for a wide array of stakeholders. The framework delineates 12 essential pedagogic AI competencies categorised into four distinct domains, with each domain encompassing six levels of proficiency. Developed through a systematic literature review and iterative expert consultations, the framework's design integrates qualitative analyses. Key findings reveal that its structured approach enables precise diagnostic evaluation of educators' competencies while offering actionable pathways for growth. By offering a detailed roadmap for the integration of AI tools in teaching, learning and assessment, the framework endeavours to equip educators with the necessary skills and knowledge to navigate the complexities of digital pedagogy effectively. Consequently, this article aims to catalyse a shift towards more informed, strategic and proficient use of AI in education, ensuring that educators are well prepared to meet the challenges and opportunities presented by the age of AI.
Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A
Author Affiliations: 1Department of English and Communication, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong; 2Division of Artificial Intelligence, School of Data Science, Lingnan University, Tuen Mun, New Territories, Hong Kong; 3Department of English Language Education, The Education University of Hong Kong, Tai Po, Hong Kong