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ERIC Number: EJ1354495
Record Type: Journal
Publication Date: 2022
Pages: 23
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-0899 3408
EISSN: EISSN-1744-5175
Interdisciplinary Computational Thinking with Music and Programming: A Case Study on Algorithmic Music Composition with Sonic Pi
Petrie, Christopher
Computer Science Education, v32 n2 p260-282 2022
Background and Context: Computational Thinking (CT) has been recently integrated into new and revised Digital Technologies content (DTC) in the Technology learning area of the New Zealand School Curriculum. Objective: To aid this change, this research examined how CT supports learning outcomes in both music and programming with the Sonic Pi platform. Method: A mixed-methods case study designed by the researcher was developed and trialled in a regular middle school classroom. The design of instruments and analysis utilised a widely used CT assessment framework at a school level. Findings: Many successes and challenges not reported in the literature on how CT can support learning outcomes in music and programming were revealed. Implications: Provided some significant limitations are considered, the major implication of the results suggest educators can use Sonic Pi to support many learning outcomes in music and programming for interested students.
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
Publication Type: Journal Articles; Reports - Research
Education Level: Junior High Schools; Middle Schools; Secondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: New Zealand
Grant or Contract Numbers: N/A