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IB Mathematics · 25-point PreCheck

Check 25 important points before submitting the IA or EE.

The anonymised paper is sent to PreLearning by email. The actual analysis runs locally—the website only shows a fictional demo of the report.

How the PreCheck works

No browser assessment and no public upload form.

The anonymised paper is sent as an email attachment. At PreLearning, local AI checks 25 clearly defined points and produces a structured report with prioritised advice.

  • for IB Mathematics IA and Mathematics Extended Essay
  • adapted to paper type, course, level and assessment session
  • 25 traffic-light findings with concrete improvement advice
  • a clearly structured report returned by email
Send the paper by emailView the demo report

Email: PreCheck@PreLearning.de · Remove the name, school, candidate number and other personal details before sending.

Process

From the email to a prioritised report.

The file is not analysed on this website. The demo below only illustrates the structure and reading logic of the result.

Send an anonymised copy

Attach the PDF and state IA or EE, subject, course, level, assessment session, language and deadline.

Review locally

Local AI classifies all 25 points and adapts its advice to the paper type and applicable requirements.

Receive the report

The response highlights strengths, checks and priorities, followed by concrete next steps.

Fictional demo report

This is what the 25-point report can look like.

Example: a fictional Mathematics AA SL IA modelling a cooling process, May 2027 assessment session. None of the findings relates to a real student's work.

DEMO · not a real assessmentMathematics AA SL · IA · May 2027
12Strong
10Check
3Priority

The traffic lights are not IB marks and do not predict a grade.

5

Brief and focus

Does the paper match the correct task and lead clearly towards an answerable question?

  1. Paper type and requirements version

    Strong

    IA or EE, subject, course, level and assessment session are identified unambiguously.

    Demo advice: The classification is clear. Keep the stated session on the final compliance checklist.

  2. Research question

    Strong

    The question is precise, mathematically investigable and visibly anchored in the paper.

    Demo advice: The question gives the paper a clear direction. Reuse its key terms when formulating the conclusion.

  3. Scope and feasibility

    Check

    The investigation is realistically bounded for an IA or EE.

    Demo advice: Justify the temperature range and remove one side comparison to create more space for the main analysis.

  4. Mathematical core

    Strong

    The question genuinely requires mathematical analysis rather than description alone.

    Demo advice: The modelling approach is visibly central and should continue to guide every major section.

  5. Line of inquiry

    Check

    Aim, method, results and conclusion follow a logical sequence.

    Demo advice: Add a short route map at the end of the introduction and signal the second model earlier.
5

Mathematical substance

Are the concepts, methods and calculations correct, appropriate and traceable?

  1. Concepts and variables

    Strong

    Key quantities, parameters and relationships are defined.

    Demo advice: The definitions are clear. Also state ambient temperature directly when introducing the first model.

  2. Appropriate level

    Strong

    The mathematics suits the course and level and is used with understanding.

    Demo advice: Regression and the differential equation are connected appropriately for AA SL rather than presented as a toolbox.

  3. Assumptions

    Check

    Simplifications are stated and justified mathematically or contextually.

    Demo advice: Justify the constant ambient-temperature assumption and revisit possible violations later.

  4. Derivations and calculations

    Strong

    Working is correct and documented well enough to be checked.

    Demo advice: Parameter estimation is traceable. Keep one representative calculation in the main text.

  5. Notation and terminology

    Strong

    Symbols, equations and mathematical terminology are used consistently.

    Demo advice: Notation is largely consistent. Use the same variable names in the list of figures.
5

Evidence and execution

Are data, sources, tools and representations documented reliably and reproducibly?

  1. Data and source quality

    Check

    The origin, suitability and limits of data or subject sources are visible.

    Demo advice: Name the measuring device and resolution, and document the source for the cooling model more precisely.

  2. Data collection and reproducibility

    Priority

    Measurements, selection or sampling can be reproduced from the description.

    Demo advice: Document measurement intervals, starting conditions, repeats and the treatment of unusual values in full.

  3. Technology, software and code

    Check

    Tools are identified transparently and outputs are not accepted as a black box.

    Demo advice: Add the software version and regression settings; briefly explain relevant code or configuration choices.

  4. Graphs, tables and figures

    Strong

    Representations are readable, labelled, numbered and discussed in the text.

    Demo advice: The main graphs support the reasoning. One duplicate table can be moved to the appendix.

  5. Units, precision and uncertainty

    Check

    Units, rounding and relevant uncertainty are handled appropriately.

    Demo advice: State temperature uncertainty and explain how it may affect the estimated cooling constant.
5

Analysis and reflection

Are results explained, challenged critically and connected meaningfully to the research question?

  1. Interpretation of results

    Strong

    Results are interpreted in context rather than merely calculated.

    Demo advice: Parameters are explained meaningfully in context. Carry this strength into a concise conclusion.

  2. Answer to the research question

    Strong

    The conclusion answers the original question using the results actually obtained.

    Demo advice: The answer is clear. Add one sentence defining the range over which the result is valid.

  3. Comparison and validation

    Check

    Models, methods or results are compared where the comparison adds insight.

    Demo advice: Use one consistent error measure for the model comparison and justify the preferred model.

  4. Limitations, error and bias

    Priority

    Weaknesses are not only listed but evaluated for their likely effect.

    Demo advice: For each of the three main limitations, explain the likely effect on parameters, fit or transferability.

  5. Improvements and extensions

    Check

    Suggestions are specific, feasible and derived from the findings.

    Demo advice: Instead of requesting more data in general, specify the number of repeats, duration and revised setup.
5

Communication and integrity

Is the paper clear, independent, transparently sourced and formally prepared?

  1. Structure and concision

    Strong

    Sections, transitions and length support a coherent presentation.

    Demo advice: The structure works. Two repeated method explanations can be shortened.

  2. Citations and bibliography

    Strong

    External ideas, data, figures and definitions are referenced consistently.

    Demo advice: Referencing is consistent. One figure still needs a direct source in its caption.

  3. Independent decisions

    Check

    Selection, adaptation and justification demonstrate an individual investigation rather than a template.

    Demo advice: Make clearer why these measurement conditions and this model comparison were chosen.

  4. Transparent AI and third-party assistance

    Check

    AI, translation, software support and other contributions are disclosed under current requirements.

    Demo advice: Document the language tool according to school policy and independently verify every retained contribution.

  5. Final compliance check

    Priority

    Version-specific IA or EE formalities and school requirements are complete.

    Demo advice: Check the final PDF, page order, appendices and filename against the school checklist; for an EE, also verify the required reflection documentation.

Three prioritised next steps

  1. Document the data collection so the measurement sequence and repeats can be reproduced.
  2. Go beyond naming limitations and explain how they affect the result.
  3. Check formal requirements and appendices against the school's checklist before exporting the final PDF.
Local AI review

The website shows the format—the analysis remains at PreLearning.

There is no file-upload field and no automated online assessment on this page. The copy sent by email is analysed at PreLearning using local AI. The clearly structured feedback is returned by email.

  • no processing of the paper in the browser
  • no public display of submitted content
  • guidance rather than ghostwriting or replacement passages
  • classification based on the stated assessment session
What the report does

Prioritise, explain and make the next step visible.

Every checkpoint receives a clear traffic-light classification, a brief explanation and concrete advice. The report also groups the most important next steps, so the student does not have to tackle all 25 findings at once.

Strongalready works convincingly
Checkshould be refined
Priorityaddress this first
FAQ

Important questions before sending.

Does the review run directly on this website?

No. The website only shows a fictional demo. The submitted paper is reviewed at PreLearning using local AI, and the report is returned by email.

Is the PreCheck an official IB assessment?

No. It is a structured preliminary review with improvement advice and does not replace school feedback or assessment by IB examiners.

What belongs in the email?

State the paper type, subject, course and level, assessment session, language and internal deadline. An anonymised PDF is recommended.

Will passages be rewritten for the paper?

No. The feedback identifies issues and next steps. Content, mathematics, reasoning and wording remain the student's own work.

Ready for the 25-point PreCheck?

Attach the anonymised paper and add the context to the email. The website itself does not process a file.

Prepare the emailAsk a question first
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