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Mathematics Analysis and Approaches (AA) IA Exemplar: Burette Water… | RevisionDojo
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IB Mathematics Analysis and Approaches (AA) HL Internal Assessment Example
Modeling the flow of water from a buretteHL
5
Official IB Result
13/20
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13/20
0
10
20
6.1·Weakness
Page 17• Click to view
The citation of “Chatgpt” lacks the author or retrieval date format; verify source credibility and adhere to academic conventions.
Criteria A: Presentation
3/4
0
2
4
Criteria Strands
A.1Coherence and logical development
Good
A.2Organization and structure
Good
A.3Conciseness and relevance
Moderate
Criteria Feedback
Clear sequential sections with logical progression from introduction through analysis to conclusion
Effective use of headings, contents table and page numbers to support navigation
Concise final summary that highlights the outcome and relevance of the quadratic model
Occasional grammatical lapses and minor logical jumps (e.g., confusing displacement with height)
Some tables lack captions and unit notation, and run over pages
Repetitive background explanations and lengthy descriptions dilute overall conciseness
1.1·Weakness
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Multiple entries for “Conclusion” and “Evaluation” may confuse the reader; streamline headings to maintain a clear structure.
1.2·Suggestion
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The table of contents spans a large area; consider adjusting spacing and alignment to improve readability and coherence.
1.3·Suggestion
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The background paragraph is informative but overly long; consider splitting complex sentences and focusing on key concepts.
1.4·Suggestion
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The photograph lacks a scale bar or dimension annotation; include a clear reference to translate pixel measurements to physical units.
1.5·Weakness
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Raw data table is comprehensive but lacks a caption and clear unit notation in the header; adding these will improve presentation.
1.6·Suggestion
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The transition to model fitting is abrupt; add a linking sentence explaining why starting with a linear model establishes a useful baseline.
1.7·Weakness
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Reflection text on this page ends mid-sentence; ensure all sentences are complete for clarity and professionalism.
1.8·Strength
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The final summary succinctly states the outcome and relevance of the quadratic model, enhancing the reader’s takeaway.
1.9·Weakness
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Two separate “Conclusion” headings appear; consolidate to prevent structural confusion.
Criteria B: Mathematical Communication
3/4
0
2
4
Criteria Strands
B.1Mathematical language and notation
Good
B.2Multiple representations
Good
B.3Logical structure and clarity
Good
Criteria Feedback
Consistent use of correct symbols, differential notation and function names
Appropriate tables, scatter plots and fitted curves that aid understanding
Generally clear explanatory prose that moves logically from data to model selection
Occasional missing units and inconsistent variable notation (ν/v confusion)
Axis labels omitted on some figures and no residual plots
Abrupt transitions in derivations and missing explicit display of key equations
2.1·Suggestion
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Variables in the equation should be introduced inline before or immediately after the block; ensure v=2gh is preceded by clear definitions.
2.2·Suggestion
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Explain the rationale for rounding to four significant figures explicitly; this clarifies the connection between measurement precision and data processing.
2.3·Strength
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The analysis introduction clearly states the use of GeoGebra for curve fitting, reflecting sound mathematical communication.
2.4·Weakness
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The term “v intercept” is incorrect; replace with “y-intercept” to use standard mathematical terminology.
2.5·Suggestion
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Include units for slope and intercept in the caption (e.g., cm/s and cm) to clarify the dimensions of Geogebra’s line parameters.
2.6·Weakness
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The quadratic model is praised but its explicit form isn’t displayed in the text; include the equation for completeness.
2.7·Weakness
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The logarithmic model uses ln(x) but the independent variable is time t; revise to h(t)=aln(t)+b for consistency.
2.8·Weakness
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Symbols “ν” and “v” are used interchangeably for velocity; maintain consistent notation to avoid confusion.
2.9·Weakness
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Integration step omits absolute-value notation for h; include ∫h−1/2dh justification to ensure mathematical rigor.
2.10·Suggestion
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The final function uses Δh but earlier context defines h; clarify variables so the reader tracks what is being modeled.
2.11·Weakness
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Constant notation switches between uppercase C and lowercase c; maintain one symbol to avoid ambiguity.
Criteria C: Personal Engagement
2/3
0
2
3
Criteria Strands
C.1Independent thinking
Good
C.2Personal approach
Good
C.3Creativity and initiative
Good
Criteria Feedback
Investigation topic and methodology demonstrate significant independent thinking
First-person narrative and reflective comments show a clear personal approach
Use of Logger Pro video analysis and analytical derivation shows good creativity
Methodology follows standard practice with limited innovation
Some repetition in aim statement reduces impact of personal introduction
Modelling tools employed are fairly typical, limiting exceptional initiative
3.1·Weakness
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The personal introduction demonstrates genuine engagement, but the aim statement repeats itself; condense to avoid unnecessary repetition.
3.2·Strength
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Describing camera placement to reduce parallax shows thoughtful experimental design and enhances data integrity.
Criteria D: Reflection
2/3
0
2
3
Criteria Strands
D.1Depth of reflection
Good
D.2Critical analysis
Good
D.3Evaluation of outcomes
Good
Criteria Feedback
Thoughtful comparison of models with qualitative discussion of over-/under-estimation
Meaningful identification of apparatus and software limitations with suggested improvements
Concrete forward-planning through proposals for geometric detail and resistance factors
Reflections lack quantitative residual or uncertainty analysis
No systematic error quantification or propagation
Broader implications and future experimental designs are not deeply probed
4.1·Strength
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The first reflection insightfully identifies setup issues, demonstrating meaningful consideration of experimental design.
4.2·Weakness
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Reflection acknowledges several limitations but does not quantify their impact; consider estimating the magnitude of error introduced by each.
4.3·Suggestion
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Critique of the linear model is clear but would benefit from a quantitative residual or error analysis to support the claims.
4.4·Suggestion
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Discuss the percentage error or residuals when comparing predicted emptying time to observed behavior to deepen critical analysis.
4.5·Strength
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Reflection on derivation challenges exhibits substantial critical thinking and acknowledges modeling trade-offs.
4.6·Suggestion
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Comparing empirical and derived curves is insightful; include a quantitative goodness-of-fit metric (e.g., R²) to strengthen analysis.