An IES practice-guide presentation recommends personalized problem contexts, asserting without cited studies that students engage more actively and perform better in them¶

Claim · All claims
Evidence · 1 study · theoretical r1 · q1
Currency · newest study 2012 · checked against its sources 2026-10-19 (automated, 1 of 1 entry) · not reviewed by a person

Subclaims¶

q1 i? The guide asserts, without cited studies, that presenting problems in personalized, familiar contexts leads students to engage more actively and perform better. → Preparing Problems for Classroom Instruction 2012

Evidence¶

Preparing Problems for Classroom Instruction 2012¶

Preparing Problems for Classroom Instruction. (2012, January). Presentation on the practice guide Improving Mathematical Problem Solving in Grades 4 Through 8, U.S. Department of Education funded practice-guide presentation. https://ies.ed.gov/ncee/wwc/PracticeGuide/16

q1 · i? · theoretical · r1

The guide's practice recommendation asserts, without cited studies or effect sizes, that "Students tend to engage more actively and perform better" in personalized contexts. This is expert guidance (type e), not a tested result, so it is coded as a weakly supported claim.

"Students tend to engage more actively and perform better when problems are presented in personalized contexts that appeal to their interests."

Studies bearing on this claim¶

Does setting problems in contexts drawn from learners' interests raise engagement and performance? This table gathers the studies behind this claim and the 17 narrower claims that bear on it: 11 distinct studies (3 causal, 3 qualitative, 2 theoretical, 2 design, 1 quant-synthesis), q1–q3, 3 of 11 with an effect size coded. One row per study, codes as each entry records them; no effect is averaged and no verdict is drawn. Built by scripts/synthesize_claim.py from eval/synthesis/; a row that looks wrong is fixed on the claim it comes from.

Discussion¶

Learner Variables¶

• Interest — outcome: instruction changes it

Related Claims¶

• A 1993 case-study paper on culturally aware teachers asserts, without data of its own, that instruction incorporating students' life experiences, language and skills improves academic performance — the general claim this finding bears on, with the studies behind it
• Learners invest more effort in tasks they perceive as interesting, personally important, or useful to their future goals. — a broader claim this one bears on
• Self-determination theory holds that autonomy support raises intrinsic motivation, and a meta-analysis finds expected tangible rewards undermine it — related
• Coherence Principle Irrelevant Material Hurts Learning — reports the opposite
• Interest alignment is highest among course completers while economic motivations (higher pay, better benefits, increased stability) are highest among non-completers — related
• The three refinement strategies make distinct trade-offs when personalizing problems to topics that resist natural alignment with the original math — related
• Personalization to student interests improved accuracy on hard knowledge components involving algebraic expression-writing within the tutoring unit — related
• Students receiving personalized problems gamed the tutoring system less during the personalized unit, with no difference in a later unit — a narrower finding that bears on this claim
• Most participants described interest-personalized GenAI analogies as more engaging or memorable than generic technical explanations — related
• Eyetracking showed students often answer word problems without looking at the algebraic expression, leading the curriculum to treat expression-writing as an induction task with the formula row moved to the bottom of the table — related
• Students frequently reported that personalized problem topics did not match their interests — reports the opposite
• Different learner contexts supplied to an AI tutor produce qualitatively different, persona-aligned explanations of the same problem — related
• Personalizing algebra story problems to student interests improved accuracy on easy knowledge components within the tutoring unit — a narrower finding that bears on this claim
• Students critiqued the broad grain size of teacher-in-the-loop personalization and personalization itself met resistance — related
• An adult-education market report asserts, quoting earlier research it does not detail, that adult training yields better results the more closely it relates to a real job or occupation — related
• Localizing word-problem character names improved MATHia performance only for specific subgroup-majority schools, with no improvement in sense of belonging overall — related
• Students are significantly worse at translating two-step algebra story problems than matched one-step problems, implicating a hidden integrative knowledge component — related