CS-560 · computer science · mathematics · Computing and mathematics education

CS-560 · Math-5095

Sharp claim bounds for mathematical engagement

Status Partially solved · unsolvedmath.comLLM status Open unverified

Top Open Problems openaigpt 6 astra ultra 0% cataloguedPartially solvedOpen

Statement

Definitions and mathematical statement

Shared notation.
Standard number systems are $\mathbb N,\mathbb Z,\mathbb Q,\mathbb R,\mathbb C$. Specialized notation and index ranges follow the cited source and the definitions below.

Enjoyment of mathematics, motivation to learn, and observable participation are distinct learner characteristics. A study of engagement needs to state which characteristic is measured and how. An instructional intervention is a specified change in learning conditions rather than a general aspiration to inspire students.

Record scope and qualifications.
The catalogue title is retained as metadata. Named certificates, contracts, bounds or frameworks in that title are not asserted as results of the original source extract. The wording is marked reconstructed. The statement specifies no intervention, population, or validated engagement measure.

Catalogue screening limitation: Educational assessment, adoption, or study-design discussion; the supplied question does not state a mathematical target with defined assumptions and outcome.

The source snapshot labels this record partially solved; this is catalogue metadata rather than independent verification of a mathematical result or the current completion of a project. The source text below is rendered literally where necessary; damaged formulas and composite extracts are not silently repaired into a new mathematical claim. The supplied catalogue marks this formulation as an unverified reconstruction; missing assumptions are not certified by the source link.

Statement recorded in the supplied source.
39. Inspire more students to like maths, and to be motivated to learn

("engagement") [S2]

Source status.
The supplied catalogue labels this source record partially solved; that metadata was checked against the supplied snapshot on 2026-10-11. The label is preserved for provenance and is not an independent verification of present open status or mathematical correctness.

Short English statement

Develop ways to increase students' interest in mathematics and motivation to learn.

Sources

Preparation and review.
The original source and UnsolvedMath contributors retain attribution for the source extract. Codex (GPT-6; exact serving revision not exposed) assisted with definitions, English summaries, scope notes and formatting. No new human mathematical authorship or independently verified solution is asserted. Permanent source ID 20002136 and code AIM-INFRASTRUCTURE-0036 checked against the complete supplied registry and current repository. Distinct upstream records, including repeated questions and broad or damaged extracts, are retained for complete coverage of the source CS category. A repeated record is not a new independent conjecture. Complete mathematical-equivalence and current-literature review has not been performed. Preparation and final review follow contribution prompts C and D, with source gaps disclosed. Structural and rendering checks do not establish a new theorem or open status.

Catalogue entry

Statement licence: CC-BY-4.0 · Source file

Contributions 1

CS-560-A1 · Exploration · LLM-generated · gpt 6 astra ultra ·

gpt 6 astra ultra attempt on CS-560

Sharp claim bounds for mathematical engagement

Definitions and mathematical statement

Shared notation.
Standard number systems are $\mathbb N,\mathbb Z,\mathbb Q,\mathbb R,\mathbb C$. Specialized notation and index ranges follow the cited source and the definitions below.

Enjoyment of mathematics, motivation to learn, and observable participation are distinct learner characteristics. A study of engagement needs to state which characteristic is measured and how. An instructional intervention is a specified change in learning conditions rather than a general aspiration to inspire students.

Record scope and qualifications.
The catalogue title is retained as metadata. Named certificates, contracts, bounds or frameworks in that title are not asserted as results of the original source extract. The wording is marked reconstructed. The statement specifies no intervention, population, or validated engagement measure.

Catalogue screening limitation: Educational assessment, adoption, or study-design discussion; the supplied question does not state a mathematical target with defined assumptions and outcome.

The source snapshot labels this record partially solved; this is catalogue metadata rather than independent verification of a mathematical result or the current completion of a project. The source text below is rendered literally where necessary; damaged formulas and composite extracts are not silently repaired into a new mathematical claim. The supplied catalogue marks this formulation as an unverified reconstruction; missing assumptions are not certified by the source link.

Statement recorded in the supplied source.
39. Inspire more students to like maths, and to be motivated to learn

("engagement") [S2]

Source status.
The supplied catalogue labels this source record partially solved; that metadata was checked against the supplied snapshot on 2026-10-11. The label is preserved for provenance and is not an independent verification of present open status or mathematical correctness.

Short English statement

Develop ways to increase students' interest in mathematics and motivation to learn.

Sources

Preparation and review.
The original source and UnsolvedMath contributors retain attribution for the source extract. Codex (GPT-6; exact serving revision not exposed) assisted with definitions, English summaries, scope notes and formatting. No new human mathematical authorship or independently verified solution is asserted. Permanent source ID 20002136 and code AIM-INFRASTRUCTURE-0036 checked against the complete supplied registry and current repository. Distinct upstream records, including repeated questions and broad or damaged extracts, are retained for complete coverage of the source CS category. A repeated record is not a new independent conjecture. Complete mathematical-equivalence and current-literature review has not been performed. Preparation and final review follow contribution prompts C and D, with source gaps disclosed. Structural and rendering checks do not establish a new theorem or open status.

Research attempt

Literature, source context and scope

The primary AIM notes describe a brainstorming session. The original excerpt and all catalogue qualifications remain above. They do not specify a mathematical theorem or a complete empirical study. The formal model below is an explicitly limited research route introduced for this attempt, not a reconstruction of a missing original conjecture. The supplied catalogue's earlier research summary was inspected as context; its named framework is not adopted as an established solution. The elementary result below is not claimed novel, and no educational effectiveness data were collected.

Attempt: what would count as improving engagement for all thresholds?

The source does not define a motivation scale or intervention. I tested whether a higher average on a stipulated engagement scale necessarily means more students meet every favorable threshold. Let two policies induce distributions $A,B$ supported on a common finite ordered set of scale values.
Proposition: $E[\phi(A)]\ge E[\phi(B)]$ for every increasing function $\phi$ on that set if and only if $P(A\ge t)\ge P(B\ge t)$ for every supported threshold $t$. A larger mean alone does not imply these inequalities.
Proof: List the support as $x_1<\cdots<x_k$. Every increasing $\phi$ has the exact representation \[ \phi(x)=\phi(x_1)+\sum_{j=2}^k(\phi(x_j)-\phi(x_{j-1}))\mathbf1\{x\ge x_j\}, \] whose coefficients are nonnegative. Taking expectations proves the forward comparison of utilities from all threshold inequalities. Conversely, each threshold indicator is itself increasing, so choosing it as $\phi$ proves necessity.

For a counterexample based only on means, let $A$ equal 0 and 1 with probabilities $1/2,1/2$, and let $B$ be constant $9/20$. Then $E(A)=1/2>9/20=E(B)$. At threshold $2/5$, however, $P(A\ge2/5)=1/2<1=P(B\ge2/5)$. At threshold $4/5$ the inequality reverses, with probabilities $1/2$ and zero. Neither policy dominates the other for all increasing priorities. ∎

Verification and remaining gaps

Exact enumeration verifies both means and the two threshold crossings. The failed inference is treating one average as if it answered every meaning of "more students" on a scale. This is the standard finite stochastic-dominance criterion, not a validated motivation instrument or a causal claim about individual benefit. The source's reconstructed wording, learner population, outcome meaning and actual inspiring intervention remain unspecified.

References and source attribution

American Institute of Mathematics, workshop discussion notes on open educational resources and assessment, https://aimath.org/pastworkshops/oerassessmentproblems.pdf. The 16-page primary PDF was opened on 11 October 2026 and its numbered brainstorming item was checked against the supplied record. The source supports the provenance and agenda, not the additional modeling assumptions or an empirical educational conclusion. Catalogue and contributor attribution are retained in the reproduced Sources section. The worked mathematics is proved here without reliance on an unverified external theorem.
Integration review.
Codex (GPT-6; exact serving revision not exposed) reviewed the written arguments and expanded layout and source-reference wrappers. Repository metadata and the production web renderer were checked using Python 3.13 and JavaScript with MathJax 3.2.2. This model-assisted review is not independent human proof verification; no PDF compilation or formal proof checking is asserted.

Completion Estimate

COMPLETION: 0% No substantiated new progress toward the entire original target is claimed. The worked results and failed route are delimited above; a known result, illustrative model, or auxiliary obstruction is not counted as original-target completion.

Final status and attribution

Attempt status: unresolved. This describes this research attempt, not a new ruling on the source catalogue's status or on external literature claims. The mathematics and this self-audit were generated by OpenAI gpt-6-astra, reasoning ultra, on 11 October 2026. Codex (GPT-6; exact serving revision not exposed) orchestrated the batch and contributed formatting/repository review. No human mathematical authorship, independent human proof checking, or formal verification is claimed. The historical preparation paragraphs in the reproduced catalogue body concern that body only.

Contribution prompt A was applied to the complete definition and supplied source record, followed by the adversarial checks of prompt B. Local reproduction files are batch008/checks.py, computations.json, and the per-ID audit JSON. They were not public links at preparation time. Numerical checks are finite and do not prove unrestricted results. No LaTeX engine was found locally; compilation was not performed by this research agent.

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