Using SceneCraft to Understand AI Literacy

Artificial intelligence (AI) is changing how students learn, create, and interact with information. SceneCraft is designed not only as a storytelling platform but also as a means to help students develop critical AI literacy skills, the knowledge and practices necessary to understand, evaluate, and responsibly utilize AI tools.

Co-Create a SceneCraft Story with Your Students

To use SceneCraft to engage your students in AI Literacy, students can co-create, alongside the teacher, an AI-generated story using the SceneCraft Authoring Tool. Students have the opportunity to playtest and reflect on the limitations and importance of keeping a human in the loop when using AI.

View Playtesting Lesson Plan

Why AI Literacy Matters

According to Digital Promise’s AI Literacy Framework, students need opportunities to understand, evaluate, and use AI responsibly. This includes learning how AI systems work, questioning their outputs, and considering their impact on society.

When integrated into classroom storytelling, AI literacy gives students the tools to:

Think critically about bias, accuracy, and fairness in AI outputs
Protect their own data privacy and security
Recognize and challenge misinformation
Explore the ethics and impacts of AI on communities and the environment

Best Practices for Teaching AI Literacy with SceneCraft

Monitor Data Privacy and Safety

Use SceneCraft as a model for safe digital practices. Talk with students about:

What data AI tools collect and how it’s used
Why protecting personal information matters
Classroom norms for using AI safely

(See the MAZE framework’s “Monitor Data Privacy” for guiding questions .)

Encourage Critical Evaluation of AI Output

SceneCraft’s AI-generated stories provide a natural opportunity to evaluate accuracy and fairness. Have students:

Compare AI-created dialogue or scenes with their own versions
Spot errors, stereotypes, or unrealistic logic
Discuss why AI might generate certain responses

This aligns with Digital Promise’s practice of “Data Analysis & Inference” and the MAZE “Assess for Accuracy” step.

Zero-In on Bias and Ethics

AI tools sometimes reproduce harmful stereotypes. With SceneCraft, students can:

Examine how characters are portrayed in stories
Consider how bias in training data affects narrative outcomes
Reflect on whether AI-generated solutions are fair or just

(Adapted from MAZE’s “Zero-in on Bias” and the AI Literacy Framework’s “Ethics & Impact.”)

Make AI Transparent

Students deserve to know when and how AI is shaping their learning. Be clear about:

Which parts of a SceneCraft story are AI-generated
How teachers and students influence the outcome through prompts
When human judgment takes priority

This follows the AI Bill of Rights’ principle of Notice and Explanation.

Keep Humans in the Loop

SceneCraft is designed for teacher decision-making to lead the way. Encourage students to:

Suggest edits and alternatives to AI outputs
Rely on teacher and peer review before finalizing stories
Recognize when a human perspective is essential

(Aligned with the AI Bill of Rights principle of Human Alternatives, Consideration, and Fallback .)

Tips for Lesson Integration

Here are ways you can connect AI literacy to SceneCraft-enhanced lessons:

ELA/History: Ask students to critique AI-generated dialogue for historical accuracy or cultural sensitivity.
STEM: Use SceneCraft to illustrate algorithmic thinking—break down how prompts are instructions that shape outcomes.
Digital Citizenship: Lead discussions on how AI tools spread misinformation and how to fact-check responsibly.
Ethics/Philosophy: Have students debate the environmental or social impacts of AI systems.

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