Enseigner la fluidité en IA

Aperçu

At Anthropic, we believe that empowering people with AI, and ensuring that AI makes safe contributions to society, requires engaging with a wide range of human perspectives and experiences. Responsible AI development and engagement isn't something any single discipline or viewpoint can fully address.

It demands collaborative approaches that span a wide range of technical, creative, business, scientific, and educational domains. That's why we partnered with educators who bring complementary expertise to create this course on AI collaboration for educators.

This course empowers faculty, instructional designers, and educational leaders to apply the 4D Framework to their own educational practice. Participants will learn to apply the 4D Framework to their own teaching practice, using AI as a thinking partner to enhance course design, create coherent learning materials, and develop authentic assessments while modeling responsible AI collaboration for their students.

This course is the result of a long partnership between Anthropic and professors Rick Dakan from Ringling College of Art and Design and Joseph Feller from University College Cork. It builds on their experiences in training fellow educators and teaching the AI Fluency Framework to their students, and on feedback and questions that arose from our earlier course:

AI Fluency:

Framework & Foundations This course answers the question:

how can I apply this framework to my personal teaching practice?

The work was supported in part by the Higher Education Authority (Ireland) through the National Forum for the Enhancement of Teaching and Learning. Recommended prerequisites This course lightly covers the foundational AI Fluency concepts.

However, for deeper understanding, participants should complete AI Fluency:

Framework & Foundations before beginning this educator-focused curriculum. It is also recommended that learners have active teaching or curriculum development responsibilities as well as access to an AI chat tool for hands-on practice.

Examples in this course will use Claude.ai, but any chatbot will work.

Programme

• Approches pédagogiques
Préparer les étudiants à la maîtrise de l'IA à travers le cadre 4D.
• Évaluation et devoirs
Concevoir des évaluations et des devoirs qui développent et mesurent la maîtrise de l'IA des étudiants parallèlement à leur expertise disciplinaire.
• Impact de l'IA et votre discipline
Développer la capacité institutionnelle pour une intégration responsable et significative de l'IA dans la pédagogie, l'évaluation et les programmes à travers les disciplines.

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Matières

Artificial Intelligence