Creating computational literature develops computational literacy even when code modification is minor¶

Claim · All claims
Evidence · 1 study · qualitative r? · q1 · n=4 undergraduate physics students (two pairs)
Currency · newest study 2025 · not yet checked against its sources · not reviewed by a person

Computational literacy has three interdependent pillars — material (technical coding fluency), cognitive (using computation to reason about a disciplinary problem), and social (communicating computational work) — and students can develop the cognitive and social pillars substantially through computational essay writing even when their actual code changes are small, provided they have example computational literature to draw on.

Subclaims¶

q1 i? Two physics students reluctant toward coding made only minor modifications to a provided simulation, yet developed sophisticated modeling practices, generated their own investigation question, and clearly communicated their reasoning and findings in their essay. → Odden & Zwicki 2025

q1 i? Both pairs studied explicitly credited provided example essays and code seeds with helping them understand the assignment genre and formulate their investigation question; without that literature, both pairs reported they would not have understood what was expected. → Odden & Zwicki 2025

q1 i? Two pairs with similar prior programming experience but different initial dispositions toward coding developed different strengths — one leaned toward conceptual sensemaking and interpretation, the other toward code implementation and visualization — suggesting the task supports multiple valid paths to computational literacy rather than a single one. → Odden & Zwicki 2025

Evidence¶

Odden & Zwicki 2025¶

Odden, T. O. B., & Zwicki, B. (2025). How physics students build computational literacy by creating computational literature. Journal of the Learning Sciences, 34(5), 700-742. https://doi.org/10.1080/10508406.2025.2494791

q1 · case study of two student pairs, interviews and artifact analysis, no comparison condition · i? · the abstract prints no effect size; the full text may · n=4 undergraduate physics students (two pairs) · qualitative · r?

Pairs of physics students extended a provided physics simulation (code seed) and wrote a computational essay documenting an original investigation. One pair, reluctant toward programming, made only minor code changes but spent substantial time on physics comprehension, comparing candidate models and interpreting anomalous results; interviews and their essay showed developed epistemic agency and clear communication despite limited coding depth. A second pair, more enthusiastic about coding, produced a more code- and visualization-heavy essay with less interpretive discussion. Both pairs explicitly credited the provided example essays and code seeds with making the open-ended assignment tractable.

Discussion¶

This is a single-course case study (q1) with two student pairs (n=4) and no comparison condition, control group, or formal pre/post assessment — learning is inferred from interviews and the essays students produced, not measured directly. It was also the first open-ended computational project these students had done, so the observed growth could partly reflect novelty rather than the specific instructional design. The finding that different pairs developed different strengths (interpretation vs. implementation) suggests the task accommodates varied entry dispositions, but this is an observed pattern in two cases, not a tested design principle. Generalizability beyond this one physics course is unknown.

Learner Variables¶

• Digital Literacy — outcome: instruction changes it

Related Claims¶

• (none yet linked)
• Heterogeneity-seeking modeling curricula surface epistemic commitments in most students, including care-based commitments absent from prior frameworks — related
• Multiple representations improve learning — related
• Digital literacy means understanding how to use tools while digital fluency means creating something new with them — related
• Comment revision effort concentrates on Multi-Step-Block and other procedural constructs, with the widest flows ending in Heavy Modification — related