Skip to main content

Transforming Music Video Education: Integrating GenAI for Streamlined Feedback and Self-Regulated Learning

Body

Transforming Music Video Education: Integrating GenAI for Streamlined Feedback and Self-Regulated Learning

Transforming Music Video Education: Integrating GenAI for Streamlined Feedback and Self-Regulated Learning

Project Leader: Prof Andrew HORNER
School: School of Engineering (SENG)
Department: Computer Science and Engineering (CSE)
Project Start Year: 2025/26
Description:

This project aims to transform music video education by integrating generative AI (GenAI) tools and structured peer feedback to enhance student engagement, creativity, and self-regulated learning. Building on a previous successful initiative, the project introduces two key innovations: the use of GenAI to summarize and organize peer and instructor feedback, and the development of commentary videos to document how students incorporate feedback into subsequent assignments. The objectives are to foster a feedback-rich learning environment, improve students’ technical proficiency with GenAI video tools, and promote reflective practice. Students and teaching assistants will collaboratively produce tutorial-style videos to support the wider university community, with these resources hosted on a central GenAI platform. Through pre- and post-course assessments, project deliverables will include measurable improvements in feedback uptake, creative output, and peer collaboration. This initiative offers a scalable, evidence-based model for integrating emerging technologies into creative education and advancing innovative, student-centered learning practices.

Status: Ongoing
Type of Innovation: Artificial Intelligence
Triennium:
2025-2027
Project leader
Department
Type of innovation
Project year
Triennium