Date
Publisher
arXiv
Adolescence is marked by strong creative impulses but limited strategies for
structured expression, often leading to frustration or disengagement. While
generative AI lowers technical barriers and delivers efficient outputs, its
role in fostering adolescents' expressive growth has been overlooked. We
propose MusicScaffold, the first adolescent-centered framework that repositions
AI as a guide, coach, and partner, making expressive strategies transparent and
learnable, and supporting autonomy. In a four-week study with middle school
students (ages 12--14), MusicScaffold enhanced cognitive specificity,
behavioral self-regulation, and affective confidence in music creation. By
reframing generative AI as a scaffold rather than a generator, this work
bridges the machine efficiency of generative systems with human growth in
adolescent creative education.
What is the application?
Who is the user?
Who age?
Why use AI?
Study design
