Lesson Summary

Welcome to Rethinking Secondary Assessment for Generative Artificial Intelligence by Leon Furze. Leon, a PhD candidate in generative AI education, aims to help educators understand generative AI tools and their implications for secondary assessment practices.

Here are a few tips for making the most of this course:

• Engage actively with the course content and reflect on your own practice.
• Modules are split into lessons. Work at your pace and reflect on implications for teaching.
• Complete suggested activities to reinforce learning and discuss with colleagues.
• Generative AI is new to many; we are all on a learning curve. Apply concepts to your educational context.

The course has seven modules covering various aspects of generative AI in education and assessment.

• Each module contains three lessons with short videos, demonstrations, and additional resources for deeper exploration.
• Self-assessment questions are provided in each module to guide reflection and practical application.
• The final project involves applying AI concepts to your own assessments and subject area.

The course structure:

• Module 1 understanding generative AI tools in education.
• Module 2 focuses on using AI tools to "attack" existing assessments.
• Module 3 explores the AI assessment scale for updating assessments.
• Module 4 discusses assessment types suited for AI tools.
• Module 5 explores academic integrity in light of generative AI.
• Module 6 examines AI for generating feedback in assessments.
• Module 7 looks at generative AI's impact on the future of education and research.

Enjoy the course!