Designing AI Augmented Assignments & Assessment for Educator

Course Overview

This course teaches educators how to redesign essays, rubrics, and assignments so that AI becomes an integrated part of student learning rather than a shortcut. It provides a framework to decide when to design AI out or build it into tasks, scaffolds written work to prevent wholesale outsourcing, and covers how to create process journals and prompt logs to document AI collaboration. The course also includes guidance on building a custom GPT for a specific subject area and fair grading of AI-assisted work.

Key Takeaways

• Understand why traditional single-draft assignments no longer reliably measure learning.
• Learn to decide task-by-task whether to exclude or include AI in assignment design.
• Techniques for scaffolding written work to prevent outsourcing.
• How to create process journals and prompt logs that document authentic AI collaboration.
• Basics of building a subject-specific custom GPT or chatbot.
• Methods to detect inappropriate AI reliance without depending on unreliable AI detectors.

Prerequisites

• Basic comfort using an AI chatbot (e.g., ChatGPT) with no coding required.
• Some prior classroom experience assigning essays, projects, or reports.
• Recommended (not required) completion of Level 1 and Level 2 courses in the AI Roadmap for Educators.
• A current assignment to redesign.

Target Learners

• Classroom teachers aiming to modernize written assignments and assessments.
• Department heads shaping assessment policy across subject areas.
• Instructional coaches supporting AI adoption among teachers.
• Curriculum designers creating AI-era assignment templates.
• Higher education instructors addressing academic integrity challenges at scale.