Students frequently reported that personalized problem topics did not match their interests¶

Claim · All claims
Evidence · 1 study · design r2 · q2
Currency · newest study 2025 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? Of 235 student responses commenting on the problem's topic, 83 said the topic was something they liked while 160 described it as something they did not like or engage with. → Walkington 2025

Evidence¶

Walkington 2025¶

Walkington, C., Beauchamp, T., Ikram, F., Koçyiğit Gürbüz, M., Xia, F., Lee, M., Lan, A. (2025). Mathematics Teachers’ Interactions with a Multi-Agent System for Personalized Problem Generation. https://arxiv.org/abs/2604.12066. doi:10.1007/978-3-032-29770-9_5

q2 · i? · design · r2

Open-ended feedback from 237 students on 47 personalized problems showed that almost twice as many responses described the topic as something the student did not like or did not engage with in their lives, compared to those who liked it. The authors note that what is authentic to one student may not be authentic to another.

"A total of 235 student responses (out of 422) were coded as commenting on the problem’s topic, and 83 of those responses were coded as the student saying the topic of the problem was something that they liked."

Discussion¶

Related Claims¶

• An IES practice-guide presentation recommends personalized problem contexts, asserting without cited studies that students engage more actively and perform better in them — the general claim this finding bears on, with the studies behind it
• Students critiqued the broad grain size of teacher-in-the-loop personalization and personalization itself met resistance — related
• The three refinement strategies make distinct trade-offs when personalizing problems to topics that resist natural alignment with the original math — related
• Mathematics teachers critique ChatGPT-generated generative learning lessons for poor fit to students, boredom, preparation time, missing student-facing materials, mathematical flaws, and required materials — related