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Abstract:
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This paper concerns online music education and as contribution, it proposes a new technological
framework to support online music performance teaching to reduce loads on teachers for assessing
large number of student performances.
The online education field is growing exponentially. One form of online education is the Massive
Open Online Courses (MOOCs) where large number of students, on the order of thousands, are
enrolled to online courses. Recently, there have been course offerings for teaching music
performance through MOOCs which basically rely on peer evaluation for the assessment of student
performances and providing feedback.
MOOCs designed for other domains such as computer programming have been successfully using
supporting technologies that facilitate assessment and feedback. Here, we argue that supporting
technologies dedicated to reducing instructor load in teaching music performance online would
pave the way for successful MOOCs in this domain and provide new opportunities for music
educators to reach larger audiences.
In this paper, we propose a framework (MusicCritic, https://musiccritic.upf.edu) that can help scale
practice-based online music education upto MOOCs level without relying on peer evaluation
methods. We discuss two main components of the framework. First, we consider the interfaces for
setting up practice exercises, recording student performances, assessing the performances and
providing feedback to the students. Second, tools for facilitating assessment are discussed where we
demonstrate a semi-automatic assessment system that can learn from assessment of the instructor on
a small group of performances and further assess larger sets of performances. We finally present
tests performed on real-life data to demonstrate the potential of the approach. |
