| Title | The Musical Object in Deep Learning |
|---|---|
| Contributor | Odd Torleiv Furnes (author) |
| DOI | https://doi.org/10.11647/obp.0398.12 |
| Landing page | https://www.openbookpublishers.com/books/10.11647/obp.0398/chapters/10.11647/obp.0398.12 |
| License | https://creativecommons.org/licenses/by-nc/4.0/ |
| Copyright | Odd Torleiv Furnes |
| Publisher | Open Book Publishers |
| Published on | 2024-05-27 |
| Long abstract | From August 2020 the Norwegian National Curriculum for primary, lower secondary and upper secondary education and training was replaced. A main concern was to equip students with 21st century competencies aimed at enabling students to transfer and apply knowledge and skills in different contexts. One key aspect in achieving such competencies is that of providing for in-depth or deep learning. While deep learning is defined in slightly different ways in documents leading up to the new curriculum they all emphasise developing an understanding of concepts and relationships in and between subject areas (NOU 2014: 7, s. 7). This involves a break with so-called surface learning based on facts and isolated skills. |
| Page range | pp. 225–250 |
| Print length | 26 pages |
| Language | English (Original) |
Odd Torleiv Furnes has a bachelor’s degree in music composition and a master and PhD in musicology. He has composed music for art installations and art films, and practiced as an electric guitarist and a guitar teacher. He has over 20 years of experience from teaching music in the teacher education programme in Norway. In his research he has been investigating approaches to musical analysis of popular music as well as exploring the relationship between musical structure and the experience of musical hits from a psychological perspective. He has also done research on musical understanding and the concept of deep learning (in-depth) in music. He has recently published a book about this subject called Deep learning in music – musical understanding through sensations, emotions, and concepts (translated from Norwegian). In his chapter in this anthology, he goes deeper into the reasoning behind his approach to deep learning in music, and how perceiving music as an object may aid our perceptual understanding and aesthetic experience.