Academic Journal

Digital Music Composition: The Effects of Computer Coding Musical Compositions on Adult Learners' Attitudes toward Computer Science

Bibliographic Details
Title: Digital Music Composition: The Effects of Computer Coding Musical Compositions on Adult Learners' Attitudes toward Computer Science
Language: English
Authors: W. Monty Jones (ORCID 0000-0002-4797-7922), Katherine Hansen, Douglas Lusa Krug, Michael L. Schad, Nakisha Whittington, Xun Liu
Source: Computer Science Education. 2025 35(3):635-667.
Availability: Routledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals
Peer Reviewed: Y
Page Count: 33
Publication Date: 2025
Document Type: Journal Articles
Reports - Research
Tests/Questionnaires
Education Level: Adult Education
Descriptors: Musical Composition, Computer Software, Adult Students, Student Attitudes, Computer Science Education, Programming, Coding, Positive Attitudes, Music Education, Teaching Methods
DOI: 10.1080/08993408.2024.2429059
ISSN: 0899-3408
1744-5175
Abstract: Background and Context: Efforts to engage adult learners in computer science in the United States have been largely unsuccessful. While research examining the use of music for teaching computer programming with K-12 learners is emerging, little research with adult learners exists. Objective: This study evaluates the effect of computer coding musical compositions on adult learner's attitudes towards computer science. Method: This study utilized the TunePad programming environment to engage adult learners in a computer programming course. Data were obtained through an attitudes towards computing survey and individual interviews. Findings: Quantitative data from participants suggest that computer coding musical compositions positively affected their attitudes toward computer science. Findings from interviews provide insight into how these types of learning activities affected attitudes. Implications: Results of this research will be useful for organizations tasked with assisting adult learners in re-training and upskilling in computer science.
Abstractor: As Provided
Entry Date: 2025
Accession Number: EJ1481247
Database: ERIC
Description
ISSN:0899-3408
1744-5175
DOI:10.1080/08993408.2024.2429059