The Pedagogical Use of Visual Feedback for Enhancing Dynamics in Higher Education Piano Learning and Performance
Bibliographic Data
| ID | 3914121 |
|---|---|
| Authors | Luciana Fernandes Hamond (0000-0001-5345-3802, Fundação de Apoio à Escola Técnica), Grover Welch (0000-0003-2258-8039, University College London), Evangelos Himonides (0000-0002-8749-0799, University College London) |
| Year | 2019 |
| Volume | 25 |
| Issue | 3 |
| Pages | 581 |
| Publication date | 2019-12-10 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Opus (JOURNAL) |
| Journal identifiers | ISSN: 0103-7412 • E-ISSN: 1517-7017 |
| Publisher | OPUS (PUBLISHER) |
| DOI | 10.20504/opus2019c2526 |
| OpenAlex | W2995428882 |
| Language | EN |
| Citations received | 5 |
| References cited | 13 |
Research on technology-based learning and teaching has demonstrated evidence of its relevant role in music education. However, the application of technology to studio-based instrumental learning and teaching remains a relatively under-researched area. The article draws on findings from a recent exploratory study (HAMOND, 2017) which included fieldwork in Brazil. The aim of this study was to investigate the nature and potential pedagogical use of technology-mediated feedback in a higher education piano studio. Participants were one student-teacher dyad plus the researcher (the first author) with the dyad working on a memorised movement of a classical sonata of the student’s current repertoire. The technology system involved a digital piano connected to a laptop computer running Digital Audio Workstation (DAW) software via Musical Instrument Digital Interface (MIDI) interface, and an additional computer screen. Three data sets were collected: videoed piano lessons (n = 2), semi-structured interviews with participants after each piano lesson (n = 4) and technology-generated MIDI data through the use of DAW software. Qualitative data analysis (QDA) involved a multi-methods approach. Research outcomes demonstrated how new digital technology can improve accessibility to aspects of advanced musical behaviour and learning that are often outside the individual’s conscious awareness. The use of new digital technology can also optimise traditional pedagogical approaches in one-to-one piano studios, since it is likely to make the lesson foci clearer and the learning process more efficient
Art · Dyad · Human–computer interaction · Interface (matter) · Laptop · Mathematics education · MIDI · Multimedia · Music education · Music technology · Pedagogy · Piano · Studio · Computer Science · Diverse Music Education Insights · Diverse Musicological Studies · Music Technology and Sound Studies · Psychology
Application of Visual Information in Music Education Digital Technologies
Effect of multimedia on student performance
The practice of interactive knowledge sharing in the course of music education
Como o feedback visual em tempo real pode auxiliar a aprendizagem e performance de articulação em aulas de piano no ensino superior
A natureza do feedback no ensino e na aprendizagem de piano com o uso de tecnologia digital no ensino superior
Strategies for ensuring trustworthiness in qualitative research projects
The art of case study research
When they listen and when they watch
An Introduction to Qualitative Research
Piano Students’ Conceptions of Musical Scores as External Representations
Analysis of Teacher-Student Interactions in the Piano Lessons of Adults and Children
An Investigation of Reinforcements, Time Use, and Student Attentiveness in Piano Lessons
An Analysis of Sequential Patterns of Instruction in Piano Lessons
Real-Time Visual Feedback for Learning to Perform Short Rhythms with Expressive Variations in Timing and Loudness
Using thematic analysis in psychology
The Power of Feedback
Criteria for assessing the trustworthiness of naturalistic inquiries
Articulation Strategies in Expressive Piano Performance Analysis of Legato, Staccato, and Repeated Notes in Performances of the Andante Movement of Mozart?s Sonata in G Major (K 545)
| Unique citing works | 5 |
|---|---|
| Citations per year | 1 |
| Citation span | 2021 - 2026 (6) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 5 |