Computation in weaving is characterized by the performance of automation, with student-loom patterns moving from irregular to regular over time¶
Claim · All claims
Evidence · 1 study · qualitativer2·q2
Currency · newest study 2022 · checked against its sources 2026-10-20 (automated, 1 of 1 entry) · not reviewed by a person
Subclaims¶
Reading the evidence codes
q is the design tier, i the impact, n the sample, and the kind with its r
the rigour judged within that kind: what each code means.
This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q2 i? Student-loom intra-actions in weaving characterized computation as automation, with most projects starting irregular and increasing in regularity. → Anna Keune 2022
Evidence¶
Anna Keune 2022¶
Anna Keune (2022). Material syntonicity: Examining computational performance and its materiality through weaving and sewing crafts. Journal of the Learning Sciences. https://doi.org/10.1080/10508406.2022.2100704
q2 · i? · qualitative · r2
Video assemblage analysis of student-loom intra-actions across the weaving unit. Four intra-actions started regular and remained regular, while most started with irregular patterns that "could not be translated into functions"; over time projects increased in regularity, as in Devanie's hourglass skip pattern whose pseudocode showed increased regularity.
"Analyzing student-loom intra-actions during computationally relevant moments and changes of patterns over time showed that computation in weaving was characterized by the performance of automation. Four student-loom intra-actions produced pattern variations that started regular and remained regular. However, most student-loom intra-actions started with irregular patterns that could not be translated into functions. Over time, projects increased in regularity."
Discussion¶
Related Claims¶
- Middle school students experienced their craft performance as computational, connecting weaving and sewing to loops and coding — related
- Computation in fabric manipulation is characterized as speculative physical 3D modeling — related
- Weaving supports middle school students' performance of the computational concepts variables, conditionals, and functions — related
- Neither youth nor loom alone drove the algorithmic production and fabric output; both actively produced it collaboratively — related
- In weaving, performed algorithms emerged as repeated youth-material movements one dimension at a time, producing reliable fabric outputs — related
- The editorial reports that human-material interactions in fibre crafting produce algorithmic outcomes, with materials acting as collaborative agents (Keune) — a broader claim this one bears on
- Algorithms developed over time through changes in youth-material collaborations, defining learning as physical expansion of algorithmic production — related
- A regularity view of causation is less suited than practice analysis to explaining how interaction patterns unfold over time — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
weaving-computation-as-automation |
title |
Computation in weaving is characterized by the performance of automation, with student-loom patterns moving from irregular to regular over time |
description |
Computation in weaving is characterized by the performance of automation, with student-loom patterns moving from irregular to regular over time |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2022 |
source_checked |
2026-10-20 |
generated |
by process:wiki-ingest on 2026-10-18 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — anna-keune-2022 |
Frontmatter is the page's machine-readable record — see the Schema & Guide.