Steps towards intelligent MOOCs: A Case Study for Learning Counterpoint

TitleSteps towards intelligent MOOCs: A Case Study for Learning Counterpoint
Publication TypeBook Chapter
Year of Publication2015
AuthorsBeuls, K, Loeckx, J
EditorSteels, L
Book TitleMusic Learning with Massive Open Online Courses
Chapter9
Series Volume6
Pagination119-144
PublisherIOS Press
CityAmsterdam
Abstract

Despite their overwhelming success, present-day Massive Open Online
Courses are far removed from the student modelling capacities displayed by earlier
Intelligent Tutoring Systems. Being mere content delivery tools, MOOCs typically
lack a thorough assessment module as well as tools for personalising the learner’s
track. When learning music, particularly, these two properties are indispensable.
This chapter surveys suggestions made by experts in the field of AI in education
today towards the incorporation of ITS tools and techniques into MOOCs. Yet,
more traditional student models and tutoring modules are not without shortcomings
themselves and the real challenge lies in making active models of both the tutor
and the student, which can be used to predict future learning tracks and set the
right challenges. Agent-based tutoring systems offer an attractive framework for
building such active tutor/student models. The proposed concepts are illustrated
in the domain of music composition. A tutoring system has been implemented to
teach students the craft of counterpoint, a commonly used strategy for learning
polyphonic music composition. It is based on the theory of flow to keep students
motivated and optimize learning.