Dear STEAM Enthusiasts,
Happy Teacher Appreciation Week!
This issue delves into the ever-evolving world of AI in education, specifically focusing on assessing student work created with the assistance of AI tools.
As AI plays an increasingly prominent role in classrooms, educators grapple with how to evaluate student learning accurately and effectively. Here, we explore strategies and considerations for assessing student work when AI is involved.
Let’s dive in.
Sarah Abji-Endicott
Digital Media Academy CPO/CMO
https://www.linkedin.com/in/sarah-mae/
The Power of AI in Learning
AI-powered tools like writing assistants, adaptive learning platforms, and educational bots are transforming STEAM education. Imagine a student using an AI writing assistant to brainstorm ideas for a historical fiction story. Or, picture a class collaborating on a science project, utilizing an AI research tool to analyze data sets.
As we encourage students to actively engage with these new tools, how do we assess students’ AI-supported assignments? How do we know where AI-generated content ends and student learning begins?
Assessing AI-Supported Work
Pre-Assignment Exploration
- Research the AI Tool: Explore the functionalities and limitations of the AI tool students will be using before assigning the work. This allows you to understand what tasks the AI can potentially complete and what aspects require critical thinking and input from the student.
- Transparency with Students: Discuss the AI tool’s capabilities and limitations with students upfront. Ex