AI Fluency: Framework & Foundations

This 12 part open course provides an introduction to the AI Fluency Framework (by Rick Dakan and Joseph Feller) and lays a foundation for developing the four competencies of Delegation, Description, Discernment, and Diligence, as a flexible, technology-independent approach to human-AI interaction that is effective, efficient, ethical and safe. There are approx. 70 mins of video lessons, numerous (ungraded) practical exercises & projects, and reference handouts. The course is suitable for all learners curious about AI. In particular, it can be used by educators, academic developers, instructional designers, and others to build personal AI Fluency and apply it in their professional practice, and also to share directly with students to help them build AI Fluency and apply it in their academic setting. The AI Fluency Framework is both a useful descriptive framework for critically discussing human-AI interaction and an applied normative framework for skill-building. The course exercises can be adapted for formative and summative assessment. The summary handouts are conveniently presented in slide-friendly form for building presentations.

Issuer	National Forum for the Enhancement of Teaching and Learning in Higher Education
Issued On	1771502400
Expires	-

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