Mathematics Applications & Interpretation (AI) IA Example: Road… | RevisionDojo
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IB Mathematics Applications & Interpretation (AI) HL Internal Assessment Example
Modelling and predicting the frequency and Severity of Road Traffic Accidents (RTAs) in KenyaHL
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7
Official IB Result
IB Grade: 7
Criteria A: Presentation
3/4
0
2
4
Criteria StrandsPro
A.1Coherence and logical development
Moderate
A.2Organization and structure
Good
A.3Conciseness and relevance
Moderate
Criteria Feedback
The student's exploration is clearly structured with headings, a table of contents, and a visible progression from context to modelling to conclusion.
Most of the material stays relevant to the investigation, especially the regression analysis, residual table, and evaluation.
The student places figures and tables near the discussion they support, which makes the exploration easier to follow.
Some sections repeat ideas or calculations instead of moving the argument forward efficiently.
The research focus shifts partway through, so the title, data used, and final discussion are not always fully aligned.
The second modelling approach interrupts the logical flow because it is introduced without a fully justified basis in the data.
Criteria B: Mathematical Communication
2/4
0
2
4
Criteria StrandsPro
B.1Mathematical language and notation
Moderate
B.2Multiple representations
Good
B.3Clarity and consistency
Moderate
Criteria Feedback
The student uses a range of mathematical vocabulary such as residual, RMSE, coefficient of determination, and transition matrix.
The regression calculations are generally readable, and the residual table helps connect the model to the observed data.
The student includes several representations, including a scatter plot, fitted lines, tables, and a matrix, which shows effort to communicate the mathematics in more than one way.
Some terminology and symbols are inaccurate or inconsistent, especially when describing variables and the meaning of the later matrix work.
The matrix and diagram are not presented in a way that clearly communicates valid transition probabilities.
Several labels and explanations reduce precision, which makes the mathematics harder to interpret confidently.
Criteria C: Personal Engagement
3/3
0
2
3
Criteria StrandsPro
C.1Independent thinking
Good
C.2Personal approach
Good
C.3Creativity and initiative
Poor
Criteria Feedback
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Criteria D: Reflection
3/3
0
2
3
Criteria StrandsPro
D.1Depth of reflection
Good
D.2Critical analysis
Poor
D.3Connection to understanding
Good
Criteria Feedback
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.
Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.
Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.
Criteria E: Use of Mathematics
6/6
0
3
6
Criteria StrandsPro
E.1Relevance and level
Moderate
E.2Accuracy and correctness
Poor
E.3Knowledge and understanding
Poor
Criteria Feedback
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.
Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.
Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.