ERIC Number: EJ1373982
Record Type: Journal
Publication Date: 2023-May
Pages: 41
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-0022-4308
EISSN: EISSN-1098-2736
Using Computational Essays to Foster Disciplinary Epistemic Agency in Undergraduate Science
Journal of Research in Science Teaching, v60 n5 p937-977 May 2023
This article reports on a study investigating how computational essays can be used to help students in higher education STEM take up disciplinary epistemic agency--cognitive control and responsibility over one's own learning within the scientific disciplines. Computational essays are a genre of scientific writing that combine live, executable computer code with narrative text to present a computational model or analysis. The study took place across two contrasting university contexts: an interdisciplinary data science and modeling course at a large research university in the Midwestern United States, and a third-semester physics course at a large research university in Scandinavia. Over the course of a semester, computational essays were simultaneously and independently used in both courses, and comparable datasets of student artifacts and retrospective interviews were collected from both student populations. These data were analyzed using a framework that operationalized the construct of disciplinary epistemic agency across the dimensions of programming, inquiry, data analysis and modeling, and communication. Based on this analysis, we argue that computational essays can be a useful tool for fostering disciplinary epistemic agency within higher education science due to their combination of adaptability and disciplinary authenticity. However, we also argue that educational contexts, scaffolding, expectations, and student backgrounds can constrain and influence the ways in which students choose to take up epistemic agency.
Descriptors: Computation, Essays, Undergraduate Students, STEM Education, Technical Writing, Coding, Data Science, Models, Physics, Foreign Countries, Epistemology, Programming, Inquiry, Data Analysis
Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://bibliotheek.ehb.be:2191/en-us
Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Scandinavia
Grant or Contract Numbers: N/A