IB Environmental systems and societies (ESS) - Old SL Internal Assessment Example

The research question clearly identifies the independent variable (country of residence) and dependent variables (perception and action), making it focused and manageable.

Replace “extend” with the correct term “extent” to improve precision in the research question phrasing.

The context section ends abruptly; complete the last sentence to ensure the discussion of mitigation measures is fully developed.

The environmental context is supported by multiple authoritative sources (NASA, UN, WMO), which strengthens the justification of climate change as a relevant issue.

Assertions like “Germany or Sweden more engaged” lack citation or evidence. Provide a reference or data to support this claim.

The use of real-world examples (island states, fossil-fuel economies) effectively links the environmental issue to the research question.

The controlled variable lists only age. Consider controlling for language and digital access to reduce additional confounding variables.

Using Google Forms with standardized Likert scales makes the method repeatable and transparent.

The method description lacks detail on sample size targets and rationale for question choices. Add specifics to enhance repeatability.

The hypothesis statement bundles three factors. Narrow the hypothesis to focus on one or two key predictors for clarity and testability.

Acknowledging the workaround via Instagram demonstrates adaptability in data collection.

Ethical considerations address only computer energy use. Add discussion on informed consent, anonymity, and data protection.

Convenience sampling is justified only by response maximization. Discuss representativeness and potential demographic biases.

The risk assessment focuses on energy use, which is minimal and off-topic. Include risks such as survey fatigue, data misuse, or participant discomfort.

Converting raw counts to percentages is an effective way to standardize comparisons across regions.

The large table has empty cells and missing labels. Ensure every cell has a value or explanatory dash and include complete headers.

The placeholder table on this page is blank. Insert the processed data or remove the placeholder to avoid confusion.

Splitting responses into five regions with a bar chart is an effective visual of sample distribution.

The pie charts lack a legend or data labels; include clear legends and percentage labels for each slice to aid interpretation.

The interpretation correctly identifies regional differences (e.g., Eastern Europe vs North America) and aligns them with the data patterns.

A value of “–0%” appears in the text. Verify whether this is an error in data formatting and correct it.

Link trend statements directly to specific percentages (e.g., “38.10% in Eastern Europe”) to strengthen the evidence base.

Interpreting the last question responses according to regional economic and cultural drivers is insightful and shows deep analysis.

The conclusion restates the hypothesis outcome but is too general. Cite key data trends (e.g., percentage differences) to fully support the claim.

Excluding Middle East and South America reduces the breadth of conclusions. Discuss how this omission might bias the findings further.

The discussion of uneven response rates demonstrates awareness of sampling limitations and their impact on reliability.

The evaluation section thoroughly discusses strengths and limitations of the method, demonstrating clear critical reflection.

Expand on how the convenience sampling bias specifically affects each country group and suggest mitigation strategies.

Identifying region-specific educational strategies (practical action vs basic science) demonstrates a thoughtful link between findings and application.

Applications propose region-specific education but the justification is basic. Relate proposed policies directly to observed data patterns.

The table of contents is comprehensive and helps the reader navigate the report’s structure effectively.

Headings in the contents vary in capitalization style. Standardize heading formats (sentence or title case) for consistency.

Sentence structure is often long and contains minor grammar errors (e.g., “climate have never been stable”). Break complex sentences and proofread for subject–verb agreement.

Multiple spelling errors (e.g., “enviromental”, “immidiatly”) distract the reader. Conduct a thorough spelling and grammar check.

The legend description is confusing and fragmented. Rewrite concisely, explaining colour mapping for each question clearly.

Citations in the bibliography vary in format. Standardize to APA or another recognized style for consistency.

The bibliography draws on a wide range of reputable sources across agencies and research centers.