Research-shaped homework: self-contained undergraduate problems combining multiple methods, data representations, and workflows with AI permitted as a partner¶

Design · All designs
Evidence · 2 claims (1 for, 1 against) · 1 study (1 design), q2 · 0 of 1 report an effect size · 2 claims rest on one study

Description¶

A homework design in which assignments are "self-contained pieces" of professional research practice, combining several methods, data representations, and workflows rather than routine applications of one known method. In KT1, ten such sheets covered literature work, modeling, plotting, detector interpretation, derivations, analysis-style measurements, and scientific communication, with AI explicitly allowed and students responsible for verifying results. The instructor tested candidate tasks beforehand and found a single prompt did not reliably yield a complete solution.

Design Implications¶

Context¶

Requirements¶

Tasks must be tested so that a single prompt does not reliably yield a complete solution
Students must remain responsible for verifying whether AI output makes physical sense
Assignments need extended time (1.5 weeks per sheet in KT1)

Constraints¶

The article treats resistance to a single prompt as design experience, not a durable property of the assignments, since models improve drastically

Target Learners¶

advanced undergraduate physics students (fifth-semester bachelor students in the KT1 cohort)

Learning Goals¶

research practice skills such as modeling, data interpretation, and scientific communication
foundational nuclear and particle physics knowledge

Claims¶

Examples¶

-

Key Sources¶

M. Mikhasenko, M. Stahl, I. Segal, D. Parmar, A. Zimmer, and A. Kazatsky. (2026). AI in Particle Physics Education: Research Problems and Foundational Skills. https://arxiv.org/abs/2609.05719

Page metadata

Field	Value
`type`	`design`
`id`	`research-shaped-homework-ai-permitted`
`title`	`Research-shaped homework: self-contained undergraduate problems combining multiple methods, data representations, and workflows with AI permitted as a partner`
`description`	`A homework design in which assignments are "self-contained pieces" of professional research practice, combining several methods, data representations, and workflows rather than routine applications of one known method.`
`status`	`review`
`generated`	by `process:settle-candidates` on `2026-10-10`
`trust`	unverified — no one has confirmed this page's content
`sources`	1 — `m-mikhasenko-2026`

Frontmatter is the page's machine-readable record — see the Schema & Guide.