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IB Environmental systems and societies (ESS) - Old SL Internal Assessment Example
To what extent has the changes in the water quality measured in terms of pH, BOD, DO and Conductivity in Sabarmati River affected its suitability for aquatic life from 2012 to 2021?SL
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6
Official IB Result
19/30
Criteria A: Identifying the Context (CXT)
5/6
0
3
6
Criteria Strands
A.1Research question formulation
Excellent
A.2Environmental issue context
Excellent
A.3Connection between issue and research
Excellent
Criteria Feedback
Research question is clear, focused and testable, specifying location, timeframe and variables
Connections between environmental issue and research question are coherently explained
Context lacks quantitative pollution data to reinforce narrative
Minor omissions in linking dissolved oxygen stress explicitly in context
Some phrasing is wordy and could be more concise
1.1·Suggestion
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The title captures the study’s focus but could include the 2012–2021 temporal scope for added precision and immediate context.
1.2·Strength
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The research question is clearly defined, specifying location, variables and timeframe, ensuring coherence and testability. Consider refining phrasing to reduce wordiness while retaining essential details.
1.3·Suggestion
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The detailed description of the Sabarmati’s cultural and economic importance is strong, but quantitative evidence (e.g., pollution load statistics) would enhance the environmental context.
1.4·Suggestion
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The global introduction to aquatic wildlife is informative but generic. Strengthen context by linking these functions directly to the Sabarmati River ecosystem with local data or statistics.
1.5·Strength
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The connection between industrial growth, pandemic lockdowns and water-quality trends is clearly explained. To deepen analysis, explicitly mention how each parameter’s biotic impact is anticipated to change.
Criteria B: Planning (PLA)
3/6
0
3
6
Criteria Strands
B.1Method design
Good
B.2Sampling strategy
Moderate
B.3Risk and ethical considerations
Moderate
Criteria Feedback
Methodology is logically ordered and repeatable using publicly available data
Sampling strategy is described, capturing spatial and temporal variation
Risks and ethical considerations are acknowledged
Insufficient detail on statistical procedures (test type, software, formulae) for full reproducibility
Sampling strategy lacks justification of station representativeness or alternatives
Risk and ethical discussion is brief and no formal risk matrix or data‐licensing issues are addressed
2.1·Weakness
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The controlled-variable justification lists consistent sources and standards but lacks detail on how consistency is maintained (e.g., calibration methods). Add procedural controls.
2.2·Suggestion
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The hypothesis predicts directional changes but uses vague phrasing for pH. State numerical thresholds (e.g., “pH will fall below 6.5”) to ensure specificity.
2.3·Weakness
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Averaging midpoints of reported ranges assumes uniform distribution. Justify this approach or discuss the potential bias introduced by non-uniform data.
2.4·Suggestion
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The methodology mentions a one-sample t-test but omits whether it’s one- or two-tailed and the software or formula used. Include these details for full reproducibility.
2.5·Suggestion
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Ethical considerations list citation and transparency but omit discussion of data licensing or access permissions for CPCB data. Clarify any usage restrictions.
2.6·Suggestion
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The sampling strategy is described but not justified. Explain why stratified temporal sampling best captures both spatial variation and annual trends.
Criteria C: Results, Analysis and Conclusion (RAC)
4/6
0
3
6
Criteria Strands
C.1Data presentation
Excellent
C.2Data analysis
Excellent
C.3Conclusion drawing
Excellent
Criteria Feedback
All relevant data are presented in well‐labelled tables and charts covering the study period
Statistical calculations are largely correct and interpreted appropriately
Visualizations allow clear comparison against standards
No acknowledgement of missing 2014 data point in tables
Charts lack error bars or confidence intervals to show variability
Inconsistencies in p‐value criteria and omission of degrees of freedom undermine transparency
Conclusion overstates ‘critically low’ DO despite acceptable mean values
3.1·Suggestion
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Processed data table headers omit the missing year 2014 without comment. Acknowledge gaps to contextualize temporal analysis.
3.2·Weakness
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Graph 2 (BOD) does not indicate whether bars represent means, medians or other summaries. Clarify statistic displayed in caption or legend.
3.3·Suggestion
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Graph 1 lacks error bars or confidence intervals. Including these would visually convey variability and enhance data interpretation.
3.4·Suggestion
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The description of p‐value decision rules inconsistently uses p < 0.05 and p ≤ 0.05. Maintain consistency in hypothesis‐testing criteria.
3.5·Suggestion
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Degrees of freedom and critical t‐values are not provided in the sample calculation. Including df=9 and t_crit would strengthen statistical transparency.
3.6·Weakness
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Table 4 labels “Not Significant” for pH despite p=0.00001; this contradicts your threshold. Review significance interpretation.
3.7·Suggestion
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The BOD section correctly highlights organic pollution but lacks citation for classification thresholds. Add a reference for the “BOD>10 mg/L very poor” criterion.
3.8·Weakness
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The DO discussion misinterprets significance: a significant t‐test indicates a difference from the standard, not necessarily suitability. Clarify the direction of effect.
3.9·Suggestion
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Percentage calculations for conductivity exceedance are compelling but lack the formula and reference threshold values. Include calculation steps or citation.
3.10·Weakness
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The conclusion overstates “critically low” DO despite mean DO being within acceptable limits. Align descriptors with analyzed data to avoid overgeneralization.
Criteria D: Discussion and Evaluation (DEV)
3/6
0
3
6
Criteria Strands
D.1Conclusion evaluation
Moderate
D.2Method evaluation
Moderate
D.3Improvements and extensions
Moderate
Criteria Feedback
Discussion links degraded water parameters to ecological consequences and SDG relevance
Method strengths, weaknesses and limitations are identified with specific examples
Meaningful research extensions (biological data, seasonal variation) address study gaps
Evaluation remains qualitative without assessing the magnitude or impact of limitations
No prioritization of which methodological weaknesses most threaten validity
Proposed improvements lack methodological detail on implementation
4.1·Suggestion
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The discussion links results to SDGs effectively but would benefit from specific indicators or scores. Include quantitative SDG data to deepen evaluation.
4.2·Suggestion
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Improvements section proposes adding biological data but lacks detail on how this would integrate methodologically. Outline sampling design and analysis for proposed extension.
4.3·Suggestion
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The method evaluation lists strengths and weaknesses but lacks analysis of how each limitation affects validity and which is most critical.
Criteria E: Applications (APP)
2/3
0
2
3
Criteria Strands
E.1Application proposal
Excellent
E.2Solution evaluation
Good
Criteria Feedback
Solutions are clearly linked to measured water‐quality findings and well justified
Multiple concrete applications are proposed reflecting study outcomes
Evaluation of each solution omits key factors such as governance feasibility and monitoring requirements
Justifications lack specific metrics (e.g., buffer widths, treatment capacities)
5.1·Suggestion
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The application proposals align well with findings. For afforestation, include potential planting density or riparian buffer dimensions to substantiate impact.
5.2·Suggestion
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Solution evaluation mentions costs but omits monitoring and enforcement feasibility. Add factors such as governance capacity and community compliance.
Criteria F: Communication (COM)
2/3
0
2
3
Criteria Strands
F.1Structure and organization
Excellent
F.2Terminology and concision
Good
F.3Logic and coherence
Good
Criteria Feedback
Report is well structured and organized with clear headings and a table of contents
Logical progression from context to conclusion aids readability
Terminology usage is accurate but some sections are verbose and contain typos
Unit notation is inconsistent across tables
Reference list lacks consistent ordering
6.1·Strength
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The table of contents is well organized with clear sectioning, facilitating easy navigation throughout the report.
6.2·Suggestion
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Terminology is accurate but some sections are verbose. Aim for conciseness by eliminating redundant phrases (e.g., “In spite of all its significance”).
6.3·Weakness
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Table 1’s unit notation uses “µmho/cm” but later tables use “µmhos/cm” or “µS/cm”. Standardize units to maintain clarity.
6.4·Strength
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The report is logically structured with clear headings and numbered sections, facilitating a coherent flow from context to conclusion.
6.5·Suggestion
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Bibliography entries are comprehensive but not in alphabetical order. Arrange references per a consistent style guide to enhance readability.