@inbook{e6e15910cd2649419a23911b6a509e17,
title = "The objective ear: Assessing the progress of a music task",
abstract = "Music educators assess the progress made by their students between lessons. This assessment process is error prone, relying on skills and memory. An objective ear is a tool that takes as input a pair of performances of a piece of music and returns an accurate and reliable assessment of the progress between the performances. The tool evaluates performances using domain knowledge to generate a vector of metrics. The vectors for a pair of performances are subtracted from each other and the differences are used as input to a machine-learning classifier which maps the differences to an assessment. The implementation demonstrates that an objective ear tool is a feasible and practical solution to the problem of assessment.",
keywords = "Assessment, Learning analytics, Machine learning, Music education",
author = "Joel Burrows and Vivekanandan Kumar",
note = "Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd. 2018.",
year = "2018",
doi = "10.1007/978-981-10-8743-1_15",
language = "English",
series = "Lecture Notes in Educational Technology",
pages = "107--112",
booktitle = "Lecture Notes in Educational Technology",
}