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Exploring the Impact of Artificial Intelligence in Music Education to Enhance the Dyslexic Student’s Skills

2019; Springer Science+Business Media; Linguagem: Inglês

10.1007/978-3-030-20798-4_2

1865-0937

Michele Della Ventura,

EEG and Brain-Computer Interfaces

This paper explores the impact of the use of Artificial Intelligence (AI) it the dyslexic student's learning process in higher music education. Music involves almost every cognitive ability: not only the auditory and motor systems involved in perception and music production (performance), but also attention, memory and learning, language, social intelligence, creativity and (last but not least) emotions. It is important for teachers to understand the different cognitive abilities and challenges of each student to help him/her to reach the aims of the learning process. It is necessary to avoid over-fatigue and psychological distress of the student that can lead him/her to the loss of confidence and personal motivation. The paper investigates the educational implications of the use of the software CAMA (Computer Added Musical Analysis) designed with the explicit purpose of managing the student's motivation in order to promote effective, active, efficient and satisfactory learning. Finally, some challenges for teachers of Musical High-Schools in the adoption of AI-technologies are identified and further directions for research are explored.