Generative AI Music Producer: 8-Week Apprenticeship

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Generative AI Music Producer: 8-Week Apprenticeship

Grade 10EnglishMusicTechnologyComputer SciencePhilosophy8 days

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This 8-week Generative AI Music Producer Apprenticeship project empowers 10th-grade students to responsibly and creatively harness generative AI for music production. Students will learn to use AI as a creative assistant, develop prompt writing and DAW skills in Soundtrap, and make ethical, copyright-safe decisions. The project emphasizes transforming AI-generated content into original music, fostering critical thinking about AI's impact on the music industry and promoting sustainable practices.

Generative AIMusic ProductionSoundtrapPrompt EngineeringEthical Music CreationDAW SkillsOriginality

Want to create your own PBL Recipe?Use our AI-powered tools to design engaging project-based learning experiences for your students.

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Inquiry Framework

Question Framework

Driving Question

The overarching question that guides the entire project.How can we responsibly and creatively harness generative AI to produce innovative music that respects artistic integrity, promotes inclusivity, and considers the broader societal and environmental implications?

Essential Questions

Supporting questions that break down major concepts.

How does the use of generative AI impact the traditional roles and responsibilities within the music industry?
What are the potential benefits and drawbacks of using AI-generated music in various contexts, such as advertising or entertainment?
How can we ensure equitable access to generative AI tools and education in music, regardless of socioeconomic status or geographic location?
How does the collaborative process between humans and AI in music production differ from traditional methods, and what are the unique artistic opportunities that arise?
What are the potential environmental impacts of using energy-intensive AI models in music creation, and how can we promote sustainable practices?
How can we leverage generative AI to preserve and promote cultural diversity in music, ensuring that AI models are trained on diverse datasets and do not perpetuate biases?
What are the potential therapeutic applications of AI-generated music, such as in mental health or rehabilitation?
How does the exploration of AI in music challenge and redefine our understanding of creativity, originality, and artistic value?
In what ways can generative AI be used to foster interdisciplinary collaboration between music, technology, and other fields, such as visual arts or dance?
How can AI-generated music be used to create personalized learning experiences in music education, catering to individual student needs and learning styles?

Standards & Learning Goals

Learning Goals

By the end of this project, students will be able to:

Students will learn to use generative AI as a creative assistant while building real producer skills
Students will develop creative direction + prompt writing skills
Students will develop editing/arranging skills in a DAW (Soundtrap)
Students will create originality (turning raw AI output into a personal track)
Students will learn basic mixing + exporting
Students will learn ethical, copyright-safe decision-making

NAfME technology

TH:Pr6.1.I.K10.Re

Primary

Demonstrate effective problem-solving and critical-thinking skills in the creation, performance, and analysis of music.Reason: This standard directly relates to the project's goal of using generative AI to create original music, requiring students to problem-solve and think critically about how to integrate AI tools into their creative process.

TH:Pr6.1.I.K10.Pr

Primary

Apply technological tools and traditional instruments to compose, arrange, and produce music.Reason: This standard aligns perfectly with the project, as students will be using technological tools (generative AI) alongside traditional music production techniques within Soundtrap to compose, arrange, and produce their music.

TH:Cr7.1.I.K10.Pr

Primary

Select and develop musical ideas, applying appropriate technology to refine and complete musical works.Reason: Students will be selecting and developing musical ideas generated by AI, then using Soundtrap to refine and complete their musical works. This involves critical decision-making and creative input, aligning with the standard.

TH:Re9.1.I.K10.Re

Primary

Evaluate the effectiveness of technological tools and processes used in creating and performing music.Reason: Throughout the apprenticeship, students will be evaluating the effectiveness of different AI tools and techniques, reflecting on their creative process, and refining their approach based on what they learn. This aligns directly with the standard's focus on evaluation and reflection.

Entry Events

Events that will be used to introduce the project to students

AI Music Ethics Debate

Students participate in a mock trial debating the ethical implications of using AI in music creation, considering copyright, originality, and artistic expression. This sparks critical thinking about the role of AI in the music industry.

Deconstructed Hit Song: AI Edition

The class dissects a popular song, identifying elements that could be generated by AI and those that require human creativity. They then use AI tools to recreate parts of the song, experimenting with different prompts and parameters.

'Future of Music' Brainstorm

Students engage in a brainstorming session to envision the future of music creation, considering the potential impact of AI and other emerging technologies. They explore both the positive and negative aspects, fostering a sense of ownership and responsibility in shaping the future of music.

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Portfolio Activities

These activities progressively build towards your learning goals, with each submission contributing to the student's final portfolio.

Activity 1

AI Idea Spark: Individual Exploration

Kick off the apprenticeship by introducing students to different music genres and AI's role in generating initial ideas. Students will explore how AI can be used within their chosen genre, individually.

Steps

Here is some basic scaffolding to help students complete the activity.

1. Students will choose a music genre to focus on for the project, considering their personal interests and musical preferences.

2. Students will research their chosen genre to familiarize themselves with its key elements (BPM, chord progressions, instrumentation).

3. Each student will use a text-based AI tool to generate a 'song brief' for their genre, including tempo, key, mood, and instrumentation suggestions.

4. Share the generated song briefs with the class, discussing how AI can provide a starting point for creative exploration (Teacher shows examples).

Final Product

What students will submit as the final product of the activityA collection of AI-generated song briefs, that will serve as inspiration for future projects.

Alignment

How this activity aligns with the learning objectives & standardsAligns with TH:Cr7.1.I.K10.Pr (Selecting and developing musical ideas) and focuses on developing creative direction + prompt writing skills.

Activity 2

Loop Lab: AI-Assisted 8-Bar Creation (Individual)

Students will dive into Soundtrap to create an 8-bar loop using a teacher provided AI-generated sound and MIDI. This activity focuses on curating AI outputs and integrating them into a DAW.

Steps

Here is some basic scaffolding to help students complete the activity.

1. Using the instructor-provided AI audio seed, each student will import it into Soundtrap.

2. Within Soundtrap, students will adjust tempo and key to match their intended vibe.

3. Students will add at least one additional element to the loop, such as a drum beat or bassline, using Soundtrap's built-in instruments or samples. (Human Contribution)

4. Each Student will add a section to their producer log.

Final Product

What students will submit as the final product of the activityAn 8-bar loop created in Soundtrap, incorporating a teacher-provided AI-generated element and original additions, along with a producer log entry.

Alignment

How this activity aligns with the learning objectives & standardsAligns with TH:Pr6.1.I.K10.Pr (Applying technological tools and traditional instruments to compose, arrange, and produce music) and focuses on curating AI outputs and DAW integration.

Activity 3

Prompt Power-Up: Iteration Station (Individual)

This activity refines prompting skills by teaching students how to iterate on AI-generated outputs to achieve desired results. Focus is placed on structured prompting and A/B testing.

Steps

Here is some basic scaffolding to help students complete the activity.

1. Students will revisit their initial song brief and identify areas for improvement or refinement.

2. Using a structured prompt template (Role/Goal, Genre/Vibe, Tempo/Key, Instrumentation, Structure, Constraints, Output Format), students will create three different prompts designed to generate more usable music. (text Ai tool)

3. Students will A/B test the potential outputs from each prompt, comparing and contrasting their strengths and weaknesses (TEACHER shows examples).

4. Students will add the best prompt and their findings to their producer logs.

Final Product

What students will submit as the final product of the activityA collection of three refined prompts, along with findings added to their produce log.

Alignment

How this activity aligns with the learning objectives & standardsAligns with TH:Pr6.1.I.K10.Re (Demonstrate effective problem-solving and critical-thinking skills) and focuses on developing prompt writing skills.

Activity 4

Remix Revolution: AI-to-Original Transformation (Individual)

Students will transform the teacher provided AI-generated melodies and basslines into original musical ideas through editing, reharmonization, and rhythmic variation, emphasizing originality.

Steps

Here is some basic scaffolding to help students complete the activity.

1. Students will focus on the melody and bassline.

2. Using Soundtrap's MIDI editing tools, students will rewrite at least 30-50% of the melody and bassline, changing notes, rhythms, and harmonies. (Human Contribution)

3. Students will experiment with different scales and modes to create unique harmonic textures.

4. Students will add variations and embellishments to the melody and bassline to make them more expressive.

Final Product

What students will submit as the final product of the activityAn upgraded 8-bar loop with a significantly rewritten melody and bassline, demonstrating a clear shift from AI-generated output to original musical content.

Alignment

How this activity aligns with the learning objectives & standardsAligns with TH:Cr7.1.I.K10.Pr (Select and develop musical ideas, applying appropriate technology) and focuses on creating originality and editing skills.

Activity 5

Structure Studio: Building a Full Track (Individual)

Students will arrange their 8-bar loop into a full song structure (intro, verse, chorus, bridge, outro), focusing on energy curves and transitions.

Steps

Here is some basic scaffolding to help students complete the activity.

1. Students will map out a basic song structure (e.g., Intro - Verse - Chorus - Verse - Bridge - Chorus - Outro).

2. Students will duplicate their 8-bar loop to fill each section of the song structure.

3. Students will create variations for each section, such as adding or removing instruments, changing the melody, or altering the drum pattern. (Human Contribution)

4. Students will add transitions between sections using Soundtrap's built-in effects, such as risers, sweeps, and fades.

Final Product

What students will submit as the final product of the activityA full arrangement draft (2:00-2:30) of their song, demonstrating an understanding of song structure, energy curves, and transitions.

Alignment

Activity 6

Drum Dynamics: Beyond the Loop (Individual)

Students will replace or heavily edit their existing drum loops to create more dynamic and original drum patterns, focusing on human feel and sound choice.

Steps

Here is some basic scaffolding to help students complete the activity.

1. Students will analyze their existing drum loop, identifying areas for improvement and variation.

2. Students will either rebuild the drum pattern from scratch using Soundtrap's drum machine or heavily edit the existing loop.

3. Students will add fills, breaks, and other variations to create a more dynamic and engaging drum performance. (Human Contribution)

4. Students will experiment with different drum sounds and effects to create a unique sonic texture.

Final Product

What students will submit as the final product of the activityA drum upgrade for their track, showcasing a more dynamic and original drum pattern with variations and fills.

Alignment

Activity 7

Mix Makeover: Level Up Your Sound (Individual)

Students will learn basic mixing techniques to create a clean and balanced mix of their track, covering gain staging, EQ, reverb, and limiting.

Steps

Here is some basic scaffolding to help students complete the activity.

1. Students will adjust the levels of each track to create a balanced mix, ensuring that no instrument is too loud or too quiet (gain staging).

2. Students will use Soundtrap's EQ to shape the sound of each instrument, removing unwanted frequencies and enhancing desirable ones (EQ basics).

3. Students will add reverb to create a sense of space and depth, being mindful of not overdoing it (reverb discipline).

4. Students will add a limiter to the master track to increase the overall loudness of their track (master limiter).

Final Product

What students will submit as the final product of the activityA final mix of their track, showcasing a clean and balanced sound with appropriate levels, EQ, reverb, and limiting.

Alignment

Activity 8

AI-to-Original Challenge: Track 2 (Individual)

Students start a new track from a fresh AI seed but with stricter human contribution rules, emphasizing speed and originality in the workflow.

Steps

Here is some basic scaffolding to help students complete the activity.

1. Students will choose a new genre or style for their second track.

2. Using the Instructor-provided AI tools, students will use a new AI seed.

3. Students will follow the same workflow as before, but with a greater emphasis on replacing and transforming AI-generated content. (Human Contribution)

4. Students will aim to create a track that is at least 50% original, showcasing their unique artistic voice.

Final Product

What students will submit as the final product of the activityA draft of their second track (1:45-2:30), demonstrating a faster workflow and a stronger emphasis on originality.

Alignment

Activity 9

Portfolio Power-Up: Final Polish & Reflection (Individual)

Students finalize their second track, compile their portfolio, and write a reflection on their AI-assisted creative process, focusing on ethical considerations.

Steps

Here is some basic scaffolding to help students complete the activity.

1. Students will finalize their second track, addressing any remaining issues with the arrangement, mixing, or sound design.

2. Students will compile their portfolio, including their two final tracks, producer logs, and a reflection on their creative process.

3. In their reflection, students will discuss how they used AI ethically and made their music original, addressing issues such as copyright, originality, and artistic expression.

4. Students will submit their portfolios .

Final Product

What students will submit as the final product of the activityA completed portfolio, including two final tracks, producer logs, and a reflection on the AI-assisted creative process.

Alignment

How this activity aligns with the learning objectives & standardsAligns with TH:Re9.1.I.K10.Re (Evaluate the effectiveness of technological tools and processes) and focuses on developing reflection skills and promoting ethical awareness.

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Rubric & Reflection

Portfolio Rubric

Grading criteria for assessing the overall project portfolio

Generative AI Producer Apprenticeship Portfolio Rubric (Individual)

Category 1

Creative Use of AI

Demonstrates effective and innovative use of generative AI tools in the music production process, emphasizing individual exploration and integration.

Criterion 1

AI Integration

Effectively integrates AI-generated elements into the music production workflow, showcasing curation and transformation skills.

Exemplary

4 Points

Seamlessly integrates AI-generated content, creatively leveraging its potential to enhance the overall musical composition and workflow, demonstrating sophisticated curation and transformation skills.

Proficient

3 Points

Integrates AI-generated content effectively, demonstrating a clear understanding of how AI can be used as a tool in the music production process.

Developing

2 Points

Integrates AI-generated content with some inconsistencies, showing a basic understanding of AI's potential in music production.

Beginning

1 Points

Struggles to integrate AI-generated content effectively, showing limited understanding of AI's role in music production.

Criterion 2

Prompting Skills

Demonstrates proficiency in crafting effective prompts to generate desired musical outputs, emphasizing iteration and refinement.

Exemplary

4 Points

Crafts sophisticated and nuanced prompts that consistently generate high-quality and relevant musical ideas, demonstrating advanced prompt engineering skills.

Proficient

3 Points

Crafts effective prompts that generate usable musical ideas, demonstrating a solid understanding of prompt engineering principles.

Developing

2 Points

Crafts prompts with some inconsistencies, generating musical ideas of varying quality and relevance.

Beginning

1 Points

Struggles to craft effective prompts, resulting in irrelevant or unusable musical ideas.

Category 2

Originality and Artistry

Demonstrates the ability to transform AI-generated content into original and expressive musical works, showcasing individual artistic voice and creative choices.

Criterion 1

AI Transformation

Effectively transforms AI-generated content into original musical ideas through editing, reharmonization, and rhythmic variation, meeting the human contribution requirements.

Exemplary

4 Points

Substantially transforms AI-generated content, adding significant original elements that result in a unique and compelling musical work, clearly exceeding the human contribution requirements.

Proficient

3 Points

Transforms AI-generated content effectively, adding original elements that enhance the musical composition and meet the human contribution requirements.

Developing

2 Points

Transforms AI-generated content with some inconsistencies, showing emerging signs of originality but only partially meeting the human contribution requirements.

Beginning

1 Points

Struggles to transform AI-generated content, with limited evidence of original musical ideas and failure to meet human contribution requirements.

Criterion 2

Artistic Expression

Expresses a unique artistic voice through the arrangement, sound design, and overall aesthetic of the music, reflecting individual style and vision.

Exemplary

4 Points

Demonstrates a highly developed artistic voice, creating a musical work that is both original and deeply expressive, showcasing a unique and compelling personal style.

Proficient

3 Points

Expresses a clear artistic voice through the music, showcasing personal style and creative vision.

Developing

2 Points

Shows emerging signs of artistic expression, with some inconsistencies in style and creative vision.

Beginning

1 Points

Struggles to express a unique artistic voice, with limited evidence of personal style and creative vision.

Category 3

Technical Proficiency

Demonstrates competence in using Soundtrap and other music production tools to create polished and professional-sounding music, emphasizing individual skill development.

Criterion 1

Soundtrap Skills

Demonstrates proficiency in using Soundtrap's features for composition, arrangement, mixing, and mastering, effectively utilizing the DAW to realize creative visions.

Exemplary

4 Points

Masters Soundtrap's features, creatively utilizing them to achieve a professional-sounding and polished final product, demonstrating advanced DAW skills.

Proficient

3 Points

Demonstrates strong proficiency in using Soundtrap's features for music production.

Developing

2 Points

Shows emerging proficiency in using Soundtrap's features, with some areas for improvement.

Beginning

1 Points

Struggles to use Soundtrap's features effectively, hindering the overall quality of the music production.

Criterion 2

Mixing and Mastering

Creates a clean and balanced mix with appropriate levels, EQ, and effects, resulting in a polished and professional-sounding final product.

Exemplary

4 Points

Achieves a professional-sounding mix with excellent clarity, balance, and dynamic range, demonstrating advanced mixing and mastering techniques.

Proficient

3 Points

Creates a clean and balanced mix with appropriate levels, EQ, and effects.

Developing

2 Points

Shows emerging skills in mixing and mastering, with some inconsistencies in levels, EQ, and effects.

Beginning

1 Points

Struggles to create a clean and balanced mix, resulting in a muddy or unprofessional sound.

Category 4

Ethical and Reflective Practice

Demonstrates awareness of ethical considerations related to AI in music and reflects thoughtfully on the creative process, emphasizing personal responsibility and ethical decision-making.

Criterion 1

Ethical Awareness

Adheres to ethical guidelines for using AI in music, respecting copyright, avoiding plagiarism and adhering to the safe prompting policy.

Exemplary

4 Points

Demonstrates a deep understanding of ethical considerations and consistently adheres to guidelines for responsible AI use, setting a positive example for peers.

Proficient

3 Points

Adheres to ethical guidelines for using AI in music, demonstrating awareness of copyright and plagiarism issues and adhering to safe prompting policies.

Developing

2 Points

Shows emerging awareness of ethical considerations, with some inconsistencies in adherence to guidelines and safe prompting policies.

Beginning

1 Points

Demonstrates limited awareness of ethical considerations, with potential violations of copyright or ethical guidelines and failure to adhere to safe prompting policies.

Criterion 2

Reflective Practice

Reflects thoughtfully on the creative process, analyzing the role of AI and identifying areas for growth, demonstrating metacognitive awareness and learning from experience.

Exemplary

4 Points

Provides insightful and nuanced reflections on the creative process, demonstrating a deep understanding of the role of AI, personal growth, and future learning goals.

Proficient

3 Points

Reflects thoughtfully on the creative process, analyzing the role of AI and identifying areas for growth.

Developing

2 Points

Shows emerging reflective abilities, with some basic analysis of the creative process and the role of AI.

Beginning

1 Points

Provides limited reflection on the creative process, with minimal analysis of the role of AI.

Reflection Prompts

End-of-project reflection questions to get students to think about their learning

Question 1

Reflect on the ethical considerations you encountered while using AI in your music production process, focusing on originality, copyright, and the potential impact on human musicians. How did you navigate these challenges to ensure your work was both innovative and ethically sound?

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Question 2

Describe your creative process for both tracks, detailing the balance between AI-generated content and your original contributions. How did you transform the AI seeds into something uniquely your own, and what elements of your personal style did you incorporate?

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Question 3

Evaluate the effectiveness of using a single AI seed for the entire 8-week apprenticeship. What were the benefits and drawbacks of this approach, and how did it impact your creative exploration and the overall quality of your music?

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Question 4

Discuss how your understanding of key music production techniques (arrangement, mixing, sound design, drum programming) evolved throughout the apprenticeship. How did you apply these techniques to enhance your tracks, and what specific skills did you develop or improve?

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Question 5

Reflect on the broader implications of AI in music creation. How has this apprenticeship changed your perspective on the future of music, the role of a music producer, and the evolving relationship between humans and technology in the creative process?

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