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Creative Music Collaboration

Music • Year 12th Grade • 30 • 23 students • Created with AI following Aligned with Common Core State Standards

Music
eYear 12th Grade
30
23 students
1 January 2025

Teaching Instructions

  1. Hands-On Activity: Co-Creating with AI (25 minutes) As groups, students will create a piece/song collaboratively using AI tools based on a given “prompt”. Each group will be given a different prompt.
    Guide students through the process of generating a short musical composition using the AI tool Experimenting with mood, styles and genres (e.g. ambient, pop, festivals). Generating songs with lyrics with a given theme and style provided Generating accompaniment for melodies they input. Encourage them to combine “human creativity” when writing their prompts with “AI assistance” rather than relying entirely on the software output. Optional: For a further level, they may collaborate with the AI by adding their own instrument tracks
  2. Sharing and Reflection (5-10 minutes) Invite each group to take turns to share their AI-enhanced compositions with the class, where other groups try to guess the genre, style or function of their creations After each play, ask the presenting group: 1) “How did working with AI influence your creative process?” 2) “Were there moments where the AI’s suggestions surprised you?” 3) “How did AI make composing easier/more challenging?” Ask the other groups 1) Do you think ....

For the above lesson outline, give some prompting questions for students when they share and guess each others' pieces

Creative Music Collaboration

Objective:

To explore the role of AI as a collaborative tool in music composition, blending human creativity with artificial intelligence. Students will analyze how AI can generate ideas, experiment with genre and style, and assist in music creation while reflecting on its impact on the creative process.


Standards Addressed:

National Core Arts Standards (Music, Grade 12):

  • MU:Cr1.1.E.I: Generate and conceptualize artistic ideas and work.
  • MU:Cr2.1.E.I: Organize and develop artistic ideas and work.
  • MU:Cr3.1.E.II: Evaluate, refine, and complete artistic work.
  • MU:Re7.2.E.I: Analyze how the structure and context of music inform responses.

Materials Required:

  • Laptops or tablets for each group (1 per group)
  • Access to AI music composition tools (e.g., Soundraw, AIVA, or Chrome Music Lab)
  • Headphones
  • Classroom speakers for sharing compositions
  • Instruments if available (optional)

Lesson Flow (30 Minutes)

1. Introduction and Setup (5 minutes)

Begin class by introducing the concept of AI as a Collaborative Tool in Music Creation:

  • Discussion Prompt: “How do you think AI can transform the way music is composed and experienced?”
  • Emphasize the balance between human creativity and AI assistance.
  • Briefly demonstrate one AI tool the students will use for their activity:
    • Show how to input a prompt (e.g., “Ambient song for relaxation,” “High-energy festival EDM,” or “Pop love ballad with uplifting lyrics”).
    • Highlight ways to customize outputs based on genre, tone, or structure.

2. Hands-On Activity: Co-Creating with AI (25 minutes)

Step 1: Group Formation and Prompt Distribution (2 minutes)

Divide the 23 students into 5 even groups. Each group receives a unique prompt written on a card (e.g.: “Create an atmospheric soundtrack for a nature documentary,” or “Compose a melody for an upbeat pop anthem about friendship”).

Step 2: Collaborative Creation with AI (8 minutes)

In their groups, students will:

  • Input their prompt into the assigned AI tool.
  • Experiment with variations in style, mood, or structure based on system outputs.
  • Enhance their piece with their interpretations—either modifying lyrics, tweaking melodies, or adding original elements (e.g., clapping, humming, or live instrumentation).

Step 3: Refinement and Finalization (10 minutes)

Encourage students to discuss their creative approach and refine their composition. Guiding questions for refinement:

  • Did the AI-generated suggestions meet your vision for the piece?
  • What changes did you make to personalize the song?
  • Can this piece evoke the intended mood or message?

Optional Extension (Time Permitting): Students with instruments may integrate live tracks over the AI’s composition, using keyboards, guitars, or percussion instruments to enrich their songs.


3. Sharing and Reflection (5-10 minutes)

Group Performances and Guessing Game (5 minutes)

Each group plays their AI-enhanced composition for the rest of the class. The audience listens actively and attempts to guess the genre, style, or function of the piece.

  • Teacher Prompt: “What mood or story do you think this song communicates? Which genre does it belong to, and why?”

Reflection Discussion (5 minutes)

After each performance, guide groups through a short reflection:

  • Presenting Group Questions:

    1. How did working with AI influence your creative process?
    2. Were there moments where the AI surprised you? Could you give an example?
    3. How did AI make the process easier or more challenging than traditional composition?
  • Audience Questions:

    1. “What do you think worked really well in their composition?”
    2. “What might you change or add to expand the piece?”
    3. “Did you notice any ways that human creativity enhanced or contradicted the AI’s output?”

Prompts for Discussion

To further stretch students’ thinking, you may pose these deeper questions:

  • “If used improperly, do you think AI could limit human creativity? Why or why not?”
  • “How might AI change the music industry for performers, composers, or listeners over the next 10 years?”

Assessment:

Performance and reflection should highlight students’ capacity to:

  1. Understand and use AI music tools.
  2. Blend their own creativity with AI’s capabilities.
  3. Critically evaluate AI’s role in artistic endeavors.

Grading Criteria:

  • Creativity and Effort (40%): Does the composition reflect a thoughtful attempt to balance AI-generated ideas with human input?
  • Team Collaboration (30%): Did the group work cohesively to experiment and refine their piece?
  • Reflection Quality (30%): Were reflections insightful, addressing both strengths and challenges in using AI?

Extension Ideas (For Future Lessons):

  • Explore ethical dilemmas in AI-generated art.
  • Compare AI-composed music with entirely human-composed works.
  • Have students create a new prompt and share it with another group to guide their next composition.

This lesson embodies the intersection of technology and creativity, empowering students with future-ready skills while engaging in music creation that aligns with their developmental level and interests.

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