AI in Music

Lesson Duration

• Grade Level: 12th Grade
• Curriculum Area: National Core Arts Standards – Music (US)
  • MU:Re8.1.E.HSI: Interpret intent and meaning in artistic work.
  • MU:Cn10.0.HSI: Synthesize and relate knowledge and personal experiences to make music.
  • Focus: Creativity in music production through emerging technologies, specifically artificial intelligence.

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Lesson 1 - Exploring AI-Generated Music

Objective

• Students will learn to critically analyze AI-generated music pieces, identify stylistic elements, and begin exploring AI's capabilities in music creation.

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Materials

• Laptop and projector
• High-quality speakers
• Pre-downloaded AI-generated music samples (variety of genres: Bach chorale, pop song, jazz)
• Access to two AI music tools (teacher-selected, e.g., MuseNet, Amper Music)

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Lesson Outline

1. Warm-Up (10 minutes)

1. Play three short AI-generated compositions:
   • Example 1: AI-generated Bach chorale.
   • Example 2: Pop song generated by AI.
   • Example 3: Jazz solo using machine learning.
2. Lead a guided discussion: (Use whiteboard/chart paper to list answers)
   • What do you notice about these pieces?
   • What sounds human? What sounds artificial?
   • What emotions or visuals come to mind with each piece?

Tip for Engagement: Use a questioning strategy where students are called on randomly but are encouraged to build on each other's responses. Emphasize that there are no "wrong" answers.

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2. Interactive Mini-Lecture with AI Tech Demo (20 minutes)

1. Provide a simplified explanation of how AI-generated music works:
   • Use relatable metaphors, like comparing AI to an "advanced chef" who replicates and improvises based on recipes (data).
   • Avoid detailed programming jargon.
2. Use AI Tool #1 (e.g., MuseNet) to:
   • Input a series of prompts chosen by the class (e.g., "Classical" + "Piano" + "Bach with jazz elements").
   • Create a piece live for students to hear.
3. Use AI Tool #2 (e.g., Amper Music) to:
   • Collaboratively select mood, instrumentation, and tempo settings as a group for a quick composition.

Key Question to Pose:

• How would you classify what role AI plays in these compositions: creator, imitator, or enhancer?

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3. Hands-On Experiment (15 minutes)

Divide students into 3 groups:

1. Group 1: Experiments with creating emotion-focused pieces.
   • Prompt: Create music for a "mysterious movie scene."
2. Group 2: Focuses on genre-mashing.
   • Prompt: Combine contrasting styles, like "country with hints of EDM."
3. Group 3: Develops background music for a video game theme.
   • Prompt: Compose music for a "boss battle."

Each group suggests prompts for the AI tool (teacher facilitates input). Groups take turns presenting the AI-generated results and explain their choices.

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Wrap-Up (5 minutes)

• Reflect as a class on what surprised or impressed them about AI-composed pieces.
• Pose an open-ended question for next lesson:
  • How do you think AI impacts human creativity in music? Does it help or hinder it?

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Lesson 2 - Creating with AI

Objective

• Students will collaboratively create, refine, and present an AI-assisted musical composition while critically reflecting on AI’s role and artistic potential.

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Materials

• Same AI tools from Lesson 1
• Phones/tablets/laptops (student use if allowed)
• Whiteboard/chart paper
• Student journals or notebooks

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Lesson Outline

1. Warm-Up (5 minutes)

• Play students’ favorite generated piece from the previous class.
• Quick Poll (hands raised or app-based):
  • Who thinks AI music can be genuinely “creative” on its own?
  • Who thinks AI is just a tool?
• Discuss why they voted as they did.

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2. Group Composition Activity & Collaboration (30 minutes)

1. Reassemble the same groups from Lesson 1.
2. Task: Use your AI-generated piece from Lesson 1 as a draft and refine it together.
   • Adjust instrumentation, tempo, or mood.
   • Compose one additional section using new prompts.
   • Title your composition collaboratively.
3. Add a human element:
   • Use live instruments, vocals, or polyrhythm claps to “enhance” AI music as a group performance (encourages active engagement).

Note for Teachers Watching:

• Engage reluctant students by assigning editable roles (“prompt creators,” “emotion judges,” or rhythmic/clap builders for live additions).

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3. Presentation and Discussion (10 minutes)

1. Each group presents their AI-refined musical piece and explains:
   • The AI prompts they used.
   • Their thought process for refinement.
   • Whether AI helped or hindered their creativity.
2. Discuss as a class:
   • Can authentic emotion exist in music created by non-human intelligence?
   • What separates “human compositions” from “AI compositions”? Where do they overlap?

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4. Reflection and Exit Question (5 minutes)

• Students write a short response in their journals:
  • Would you use AI to help create your own music? Why or why not?
  • What roles do you think AI will play in the music industry 10 years from now?
• Share a few responses voluntarily or anonymously.

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Assessment Criteria

1. Engagement:
   • Active participation in group activities and discussions.
   • Contributions to group compositions and reflections.
2. Creativity:
   • Use of intentional, thoughtful AI prompts.
   • Collaborative thought process in refining their compositions.
3. Critical Thinking:
   • Depth and clarity in evaluating AI’s role in music creation during discussions and reflections.

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Key Observations for Engagement during Observation

• Variety of Activities: Include hands-on tasks (composition), multimedia tools (AI software), and varied discussion styles.
• Choice and Agency: Students provide prompts, refine pieces collaboratively, and contribute live elements.
• Peer Collaboration: Group activities foster teamwork and creativity.
• Critical Reflection: Journal responses showcase individual thinking and relevance to future music developments.