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Video Macro-Context Modules for Problem Finding

Short interactive video episodes where the math problem is never stated — students must find the relevant quantities and pose the problem themselves before solving, with a dashboard that separates problem-finding from computation.

Social SciencesMathematics Education and Teaching Techniques
Cognitive-Adaptive Visual AnalyticsK-12 digital curriculum and classroom media

Concept

A library of short interactive video episodes — planning a class trip, saving a community garden, rescuing a fundraiser — in which the math problem is never handed to the student. Each episode ends with an open challenge ("will the plan work?"), and students must identify which quantities matter, extract them from the scene, and pose the problem themselves before solving it. A teacher dashboard separates three competencies that routine exercises conflate into one score: noticing relevant information, formulating the question, and computing an answer. The single wedge: problem finding. The episodes are engineered so the arithmetic stays easy while problem identification is the actual work — the step that ordinary story-problem practice never exercises.

Why now

The volume's chapter on uses of macro-contexts to facilitate mathematical thinking [0] demonstrates rich, realistic narrative environments as a concrete method for supporting mathematical thinking, and its chapter on problem solving as everyday practice [0] shows that out-of-school problem solving differs fundamentally from school exercises — grounding the requirement that the context carry the task, not decorate it. Older corpus evidence sharpens the opening: an eye-tracking study [3] found that adding a supportive static diagram to problem text improved performance on only one of six problems, so bolt-on visuals have weak and inconsistent effects; macro-contexts instead restructure the task itself — from answering a given problem to finding the problem. The video production and delivery costs that kept this approach in the research lab in the late 1980s are now negligible at classroom scale.

Written by GLM · 3 Oct 2026

AI assessment

Backed by 2 papers88

A focused educational tool that shifts the pedagogical goal from computation to problem-formulation using interactive video, addressing a genuine gap in current digital curricula.

Evidence strength
4/5
The idea is strongly grounded in the provided research on macro-contexts and the failure of 'bolt-on' visuals, moving from a lab-based theory to a scalable digital implementation.
Market pull
4/5
Major curriculum providers (McGraw-Hill, Illustrative Mathematics) are under pressure to move toward 'conceptual understanding' and 'real-world application,' creating a strong pull for this specific methodology.
Novelty & moat
4/5
Unlike the catalog's existing ideas which focus on diagnostics and translation between representations, this focuses on the 'problem-finding' stage of the cognitive process.
Feasibility
5/5
The technical requirements are low (video playback and a structured input dashboard), making a high-fidelity MVP achievable for a small team.
Wedge clarity
5/5
The 'problem-finding' wedge is exceptionally sharp, separating the act of posing the question from the act of solving it.
Simplicity / focus
5/5
The product is a single, cohesive tool with a clear purpose, avoiding the 'platform' trap by focusing on one specific cognitive skill.

Scored by Gemma 4 · 3 Oct 2026. Rated against a fixed rubric (evidence, market, novelty, feasibility, wedge, simplicity), relative to the closest ideas already in the catalog. A prior estimate to compare ideas before real-world signal arrives.

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Who benefits

  • MIND Research Instituteorganization

    ST Math is built on visual, language-light contexts; narrative macro-context modules extend its context-first pedagogy into problem finding, a natural adjacent product line.

  • PBS LearningMediaorganization

    It distributes classroom video at national scale and needs pedagogically engineered, not decorative, video content; anchored problem-finding episodes give its math collection a distinct instructional function.

  • Illustrative Mathematicsorganization

    Its problem-based curricula emphasize authentic tasks; licensing macro-context episodes would supply the realistic anchoring its word problems currently only approximate in text.

  • McGraw-Hillcompany

    Reveal Math and its digital supplements compete on engagement; video-anchored problem-finding modules would be a differentiating digital asset for its elementary line.

Research it builds on

  1. The Teaching and Assessing of Mathematical Problem Solving
    Randall Charles, Edward A. Silver · 2025 · 333 citations
    All ideas from this paper →
  2. Role of diagrams in problem solving: An evaluation of eye-tracking parameters as a measure of visual attention
    Ana Sušac, Andreja Bubić, Maja Planinić et al. · 2019 · 47 citations
    All ideas from this paper →
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