The workshop argues AI-resistant assignments are temporary at best, reframing design goals toward tasks whose difficulty survives AI completing part of the work¶
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Evidence · 1 study · qualitativer1·q1
Currency · newest study 2026 · not yet checked against its sources · 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.
q1 i? Participants argued AI-resistant programming assignments are no longer possible or last perhaps a semester, so the design goal becomes a task whose difficulty survives AI doing part of it. → Muhammad Sajjad Akbar 2026
Evidence¶
Muhammad Sajjad Akbar 2026¶
Muhammad Sajjad Akbar, Geoffrey Challen, Fraida Fund, Casey Hopkins, Oscar Karnalim, Kevin Lin, James McGuffee, Shubbhi Taneja, Ranysha Ware. (2026). AI Can Do Your Homework. Now What? Report from an online workshop on computing assessment in the age of generative AI. https://arxiv.org/abs/2609.27842 doi:10.48550/arxiv.2609.27842
q1 · i? · qualitative · r1
Open-Ended & Authentic Task Design room, second hour. One participant argued AI-resistant assignments are no longer possible; the facilitator amended that they are possible but temporary, lasting perhaps a semester. This is the authors' interpretation of the discussion, not a tested result.
"If resistance has a shelf life, the design goal is not a task AI cannot do but a task whose difficulty survives AI doing part of it."
Discussion¶
Related Claims¶
- Mid-semester survey found homework rated hard or very hard by all respondents, frequent LLM use, and divided attitudes toward single-prompt-resistant assignments — related
- At publication, a frontier coding model could produce solutions to six of the ten research-shaped assignments but struggled with four, which the authors treat as non-durable design experience — a narrower finding that bears on this claim
- The high/low-task divide in computational journalism is a relationship shaped by available technologies rather than a fixed property of tasks — related
- Both workshops proposed a dual assessment approach combining controlled AI-free testing and open AI-allowed assignments — related
- AI solutions can automate routine tasks but cannot yet handle the complex tasks of higher learning — related
- Assessment accommodations, once adopted, tend to feel transitional rather than fully equal parts of an assessment — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
ai-resistance-shelf-life-reframing |
title |
The workshop argues AI-resistant assignments are temporary at best, reframing design goals toward tasks whose difficulty survives AI completing part of the work |
description |
The workshop argues AI-resistant assignments are temporary at best, reframing design goals toward tasks whose difficulty survives AI completing part of the work |
status |
review |
evidence_strength |
weak |
newest_evidence |
2026 |
generated |
by process:wiki-ingest on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — muhammad-sajjad-akbar-2026 |
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