Create and perform a short AI-generated song or sound composition inspired by a shared theme, then compete in a Eurovision-style contest. Students learn to express genre, mood, and emotion through precise music prompting, and experience how creative constraints shape AI-generated sound.
Each team submits:
track.mp3prompt.txtmetadata.txt (title, model used, genre, duration)Example folder:
/PromptVision 2025/
LoFiLand/
track.mp3
prompt.txt
metadata.txt
Reverbia/
Glitchistan/
...
| Stage | Activity | Duration | Notes |
|---|---|---|---|
| 2 | Team setup & prompt writing | 10 min | Teams name their “country,” assign roles (prompt designer, audio lead, etc.). |
| 3 | Track creation & refinement | 30 min | Iterate 2–3 times to refine sound, export final version. |
| 4 | Upload & test playback | 5 min | Normalize volumes; check all files work. |
| 5 | PromptVision Listening Party | 15 min | Play all entries Eurovision-style with slides. |
| 6 | ScoreWiz Voting Ceremony | 10 min | Teams vote via Lucky 7 System (1, 2, 3, 5, 7 points). |
| 7 | Audience Feedback & Wrap-up | 10 min | Celebrate highlights and discuss prompt strategies. |
⏱️ Total: ~80 min Use a countdown timer and keep each segment tight for pacing.
Each team uploads to their subfolder:
track.mp3
prompt.txt
metadata.txt
Prompt example:
“A futuristic synthpop ballad about synthetic love and memory loss, 118 BPM, female vocals with vocoder harmony, lush pads, steady beat.”
Metadata example:
Title: Digital Hearts
Model: replicate/suno-v3
Genre: Synthpop
Duration: 0:52
Each team acts as a jury and awards:
Votes are entered manually in ScoreWiz, which generates a live, animated scoreboard.
🏆 Audience Favorite — Quick class poll or applause vote.
🎧 Instructor Highlights — Short verbal feedback after results (1–2 sentences per top team).
💬 Encourage peer comments on prompt clarity, sound design, and emotional intent.