Body
Incorporating AI Tools for Music and Video Generation and America’s Got Talent-style Peer Feedback in the courses Creative Sound Design and Computer Music
Incorporating AI Tools for Music and Video Generation and America’s Got Talent-style Peer Feedback in the courses Creative Sound Design and Computer Music
| Project Leader: | Andrew HORNER |
|---|---|
| School: | School of Engineering (SENG) |
| Department: | Department of Computer Science and Engineering (CSE) |
| Project Year: | 2023/24 |
| Duration: | 2023-2025 |
| Description: | This project is piloting the use of AI tools for music and video generation in the Creative Sound Design and Computer Music courses. In the project, students are learning how to use AI tools for music generation, mashups, mixing, generating lyrics, and generating videos. Through self-assessment, the project will measure the impact of these tools on creative work and whether they have effectively fostered experiential learning opportunities and active learning in the process of making a music video. This project incorporates ‘America’s Got Talent-style' peer feedback to explore the effectiveness of peer evaluation in refining work and learning from one another. |
| Status: | Ongoing |
| Type of Innovation: | Course Design, Assessment and Feedback |
Triennium:
2022-2025
2022-2025
Project leader
Department
Type of innovation
Project year
Triennium