Department of Music Studies
Library of the School of Philosophy

2025-04-11

2025

Lazaridou Elisavet

Αναγνωστοπούλου Χριστίνα,Αναπληρώτρια Καθηγήτρια
Αναστασία Γεωργάκη, Καθηγήτρια (Πρόεδρος)
Αρετή Ανδρεοπούλου, Επίκουρη Καθηγήτρια

Η Χρήση της Αυτοματοποιημένης Μάθησης για την Ατομική Προσαρμογή της Διδασκαλίας στην Μουσική

Greek

The use of machine learning for personalized adaptation 0f music learning.

The application of automated learning in the field of music teaching is an area
of growing research interest. The purpose of this research is to examine how
modern technologies can improve the process of music education through
automated learning. The method followed is a systematic review of the
literature, which includes the examination and analysis of 11 studies that
highlight the use of automated learning in music teaching. This review
resulted in the identification of several technologies that can be incorporated
into music teaching to promote self-learning. Some of these technologies
include the use of chatbots and artificial intelligence for customized learning,
the use of virtual reality learning environments for immersive learning, and the
use of data analytics and neural networks to analyze musical patterns and
create customized learning environments. In conclusion, this research
highlights the importance of automated learning in music instruction to
improve student effectiveness and experience. It also highlights the need for
further research and development in this area in order to realize the full
potential of technology to improve music education.

Technology - Computer science

Automated learning, music teaching, machine learning, deep learning, neural networks, technology.

No

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Yes

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https://pergamos.lib.uoa.gr/uoa/dl/object/3475831