Sign inGet started
Paper · arXiv

Is Solving Better Than Evaluating GenAI Solutions?

As Generative AI (GenAI) tools become increasingly capable of generating solutions to computing assignments, the computing education community is exploring pedagogical approaches that emphasize solution evaluation, verification, and critique alongside traditional solution generation. However, evidence regarding the impact of such evaluation-centered tasks on student learning remains limited, particularly in upper-division, theory-heavy courses. We conducted a randomized A/B crossover study (N=220) in a junior-level algorithms course to compare evaluating GenAI-generated solutions with traditional problem solving. Across six assignments, student working groups either solved challenging alg...

AuthorsEthan Dickey, Marios Mertzanidis, Alexandros Psomas
Primary categorycs.CY
Published30 July 2026
Last updated at source30 July 2026
cs.CYcs.AI
Embed this entry
<iframe src="https://silytics.si/embed/item/7ba71b44-4d4c-466b-8083-5b2d0b81f29b" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.