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ERIC Number: EJ1252411
Record Type: Journal
Publication Date: 2017-Sep
Pages: 21
Abstractor: As Provided
ISBN: N/A
ISSN: EISSN-1946-6226
EISSN: N/A
Available Date: N/A
Writing In-Code Comments to Self-Explain in Computational Science and Engineering Education
Vieira, Camilo; Magana, Alejandra J.; Falk, Michael L.; Garcia, R. Edwin
ACM Transactions on Computing Education, v17 n4 Article 17 Sep 2017
This article presents two case studies aimed at exploring the use of self-explanations in the context of computational science and engineering (CSE) education. The self-explanations were elicited as students' in-code comments of a set of worked-examples, and the cases involved two different approaches to CSE education: glass box and black box. The glass-box approach corresponds to a programming course for materials science and engineering students that focuses on introducing programming concepts while solving disciplinary problems. The black-box approach involves the introduction of Python-based computational tools within a thermodynamics course to represent disciplinary phenomena. Two semesters of data collection for each case study allowed us to identify the effect of using in-code comments as a self-explanation strategy on students' engagement with the worked-examples and students' perceptions of these activities within each context. The results suggest that the use of in-code comments as a self-explanation strategy increased students' awareness of the worked-examples while engaging with them. The students' perceived uses of the in-code commenting activities include: understanding the example, making a connection between the programming code and the disciplinary problem, and becoming familiar with the programming language syntax, among others.
Association for Computing Machinery. 2 Penn Plaza Suite 701, New York, NY 10121. Tel: 800-342-6626; Tel: 212-626-0500; Fax: 212-944-1318; e-mail: acmhelp@acm.org; Web site: http://toce.acm.org/
Publication Type: Journal Articles; Reports - Research; Tests/Questionnaires
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: National Science Foundation (NSF)
Authoring Institution: N/A
Grant or Contract Numbers: EEC1329262; EEC1449238
Author Affiliations: N/A