Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
AI literacy for teacher educators: a holistic curriculum for capacity-building in higher education
1
Zitationen
1
Autoren
2026
Jahr
Abstract
The emerge of Generative Artificial Intelligence (GenAI) sparked diverse reactions within the educational sector, from enthusiasm to prohibition. The core question is no longer whether educators should use GenAI, but rather what skills, knowledge, and mindset they need to use AI effectively and responsibly. Educational AI literacy focuses on the competencies educators must develop to understand, utilize, and critically evaluate AI in teaching, learning, and assessment. However, fostering educational AI literacy requires more than simply identifying and defining necessary competencies; existing literature does not adequately address providing a comprehensive curriculum for developing AI literacy in educational contexts. Drawing on an integration of conceptual theory, empirical research, and the author's extensive experience in faculty development across diverse international contexts, this conceptual paper introduces a holistic, participatory, and inquiry-driven curriculum framework for developing AI literacy among teacher educators in higher education. The synergy of these three sources of knowledge ensures a theoretically grounded and practically relevant foundation for the framework's design. Developed through an iterative process of design, implementation, and evaluation, the framework offers structured guidance for creating, embedding, and assessing AI literacy initiatives responsive to the unique needs and institutional contexts of higher education settings. Rather than prescribing a fixed hierarchical sequence, the framework is intentionally designed as a flexible blueprint—an open-ended roadmap, where the curriculum's depth and breadth can be adapted to an institution's AI-readiness and its broader mission regarding educators’ expected AI proficiency or mastery. Additionally, the analytical study addresses potential implementation challenges, strategies to mitigate them, and implications for stakeholders.
Ähnliche Arbeiten
Determining Sample Size for Research Activities
1970 · 17.852 Zit.
Scale Development : Theory and Applications
1991 · 14.742 Zit.
Online Learning: A Panacea in the Time of COVID-19 Crisis
2020 · 4.959 Zit.
Systematic review of research on artificial intelligence applications in higher education – where are the educators?
2019 · 4.786 Zit.
ChatGPT for good? On opportunities and challenges of large language models for education
2023 · 4.568 Zit.