The editorial reports that human-material interactions in fibre crafting produce algorithmic outcomes, with materials acting as collaborative agents (Keune)¶

Claim · All claims
Evidence · 1 study · qualitative r? · q1
Currency · newest study 2024 · checked against its sources 2026-10-19 (automated, 1 of 1 entry) · not reviewed by a person

Subclaims¶

q1 i? The editorial reports, citing the Keune article in this issue, that following a posthumanist lens, materials should be recognised as collaborative actors in computational production, and human-material interactions produce algorithmic outcomes that evolve over time. → Michael J. Baker 2024

Evidence¶

Michael J. Baker 2024¶

Michael J. Baker, Peter Reimann. (2024). CSCL has come of age. Intern. J. Comput.-Support. Collab. Learn (2024) 19:1–10. https://doi.org/10.1007/s11412-024-09419-2

q1 · i? · qualitative · r?

The editorial attributes this finding to Keune's video-analysis study of youth engaging in fibre crafts (weaving) from a posthumanist perspective, on computational collaborative learning with materials seen as active agents.

"By analysing video data of youth engaging in fibre crafts, the study uncovers how human-material interactions produce algorithmic outcomes and evolve over time. The research highlights the significance of recognising materials as collaborative actors in computational production"

Discussion¶

Related Claims¶

• Neither youth nor loom alone drove the algorithmic production and fabric output; both actively produced it collaboratively — a narrower finding that bears on this claim
• In weaving, performed algorithms emerged as repeated youth-material movements one dimension at a time, producing reliable fabric outputs — a narrower finding that bears on this claim
• Algorithms developed over time through changes in youth-material collaborations, defining learning as physical expansion of algorithmic production — a narrower finding that bears on this claim
• In fabric manipulation, the algorithmic performance was contingent on repeated combinations of components paired with steps of the craft — a narrower finding that bears on this claim
• Computation in fabric manipulation is characterized as speculative physical 3D modeling — a narrower finding that bears on this claim
• Fabric manipulation (sewing) supports middle school students' performance of the computational concepts variables, conditionals, and functions — a narrower finding that bears on this claim
• Weaving supports middle school students' performance of the computational concepts variables, conditionals, and functions — a narrower finding that bears on this claim
• Middle school students experienced their craft performance as computational, connecting weaving and sewing to loops and coding — a narrower finding that bears on this claim
• Computation in weaving is characterized by the performance of automation, with student-loom patterns moving from irregular to regular over time — a narrower finding that bears on this claim