Digital and GenAI Tools for the St-AI-ge Crew

Outline

Content Presented (The "What")

Process & Engagement Tactics (The "How")

ISTE/TLP Alignment

5 min

I. The Hook: Instantaneous Production Demo - Live demonstration: Generating a unique 60-second sound cue (Music Production) and a matching atmospheric visual (Visual Art/Set Design) from a single text prompt (e.g., "A chaotic, tense, high-contrast urban soundscape"). - Overview of the session’s goal: AI as a cost-effective, immediate collaborator.

Immediate Poll (Device-based): "What is the biggest barrier to high-quality student production?" (Cost, Time, Skill). This activity validates common teacher challenges and sets the context for AI as a barrier-breaker.

Spark Curiosity (TLP): Demonstrates the power of AI as an instant collaborator.

15 min

II. Sonic Design: AI Composing and Choreography - Content: Mastering generative music tools (Suno). Focus on linking technical terms (BPM, instrumentation, dynamics) to text prompts to create specific mood scores. - Connecting the mood score to Dance Visualization: How tempo, rhythm, and genre influence movement.

Hands-On Activity & Peer-to-Peer Contest: Participants use a provided, specific prompt structure (e.g., [Mood] + [Genre] + [Instrumentation] + [Tempo]) to generate a 60-second track. Contest: Pairs share tracks, and the group votes on the most effective emotional match for a shared artistic concept (Objective 1, 2).

Creative Communicator (ISTE 6b): Using AI to produce specialized sound content.

15 min

III. Script to Stage: Dramaturgy and Markup - Content: Using Large Language Models (LLMs) to perform dramaturgical tasks and Enhance Script Analysis. 1. Scene research and context-setting. 2. Script Markup: Generating suggested blocking, lighting, sound, and costume notes from a text excerpt based on thematic keywords.

Hands-On Activity: Prompting the Dramaturg: Attendees use an LLM on their device to take a provided 5-line script excerpt and generate technical cues based on two competing emotional inputs (e.g., Cues for "Intense Fear" vs. Cues for "Hidden Joy"). This directly practices Objective 3.

Designer (ISTE 5a): Using AI to scaffold complex analytical tasks like dramaturgy.

15 min

IV. Visualizing the World: Set, Costume, and Ethics - Content: Using image generators (Adobe Firefly/Gemini) for instant set/costume mock-ups. Focus on the ethical requirement to check for bias (ISTE Citizen 3a).

Activity: Visualization and Critique (Objective 4): Attendees generate one set or costume piece. Small Group Critique: Groups analyze their AI-generated image for aesthetic quality and, more critically, for cultural bias or stereotype reinforcement. Discussion focuses on how to edit prompts for inclusivity and accuracy.

Citizen 3a (Ethics/Contribution): Directly models the critical analysis of AI output for bias.

10 min

V. Reflection, Management, and The Creative Process - Content: Discussion on the human role in editing AI output. Review of the ISTE Designer standard through the lens of Differentiating Production Roles (Objective 5). Distribution of a final toolkit (prompt templates, resource links).

Q&A and Takeaway Action: Participants commit to one AI-powered assignment they will modify or create in the next week. Final discussion on how AI shifts the focus from "technique execution" to "vision and concept design." Distribution of the resource guide via QR code.

Facilitator 6b (Management) / Authentic Experiences (TLP): Providing practical workflow strategies and next steps.

Outcomes

Upon completion of this session, participants will be able to:

Generate Original Production Assets: Design and create a minimum of three production-ready assets (a 60-second mood score, a visual set design, and script lighting cues) using free generative AI tools.

Translate Artistic Intent into Prompts: Apply advanced prompt engineering techniques to translate specific artistic and theoretical concepts (e.g., Stravinsky-inspired dissonance, Baroque theatricality, or Lyrical Jazz movement) into effective AI commands.

Enhance Script Analysis: Utilize Large Language Models (LLMs) to automatically mark up a script with suggested technical cues (blocking, lighting, sound design) based on thematic and emotional inputs, streamlining the pre-production process.

Practice Critical Visual Literacy: Use AI image generators to visualize costume and set designs, then critically analyze the AI's output for cultural bias and stereotype reinforcement (ISTE Citizen 3a), leading ethical discussions in their classrooms.

Differentiate Production Roles: Design assignments that leverage AI to differentiate instruction, allowing students to assume specialist roles (Digital Sound Designer, AI Scenographer, Prompt-Based Dramaturg) to contribute to a collaborative performance piece (ISTE Designer 5a).

Supporting research

GA Standards of Excellence, Google, Gardner's Multiple Intelligences
Microsoft AI Learning Path