Reflection is the final stage of the Critical Path in Cambridge A‑Level Global Perspectives & Research (GP&R). It enables you to evaluate the knowledge, skills and attitudes you have developed, recognise the boundaries of your inquiry, and plan the next steps of investigation. Mastery of this stage contributes to AO2 (Evaluation) and supports the overall quality of the other assessment components.
| Component | Task | Marks | AO Weightings |
|---|---|---|---|
| Component 1 – Written Exam (Paper 1) | Data‑based questions and source analysis | 10 % | AO1 ≈ 70 % · AO2 ≈ 10 % · AO3 ≈ 20 % |
| Component 2 – Written Essay | Critical analysis of a global issue (≈ 1 500 words) | 30 % | AO1 ≈ 65 % · AO2 ≈ 15 % · AO3 ≈ 20 % |
| Component 3 – Team Project (Collaboration & Communication) | Research, presentation and reflective report (group of 3‑4) | 30 % | AO1 ≈ 55 % · AO2 ≈ 20 % · AO3 ≈ 25 % |
| Component 4 – Research Report (Individual) | Primary/secondary data collection, analysis and reflection (≈ 2 000 words) | 30 % | AO1 ≈ 60 % · AO2 ≈ 20 % · AO3 ≈ 20 % |
Because AO2 (evaluation) accounts for roughly 15‑20 % of the total mark, a well‑structured reflection can significantly boost your final grade.
Each stage is assessed in different components: Deconstruction & Reconstruction are central to the essay and research report; Reflection underpins the AO2 sections of all components; Communication & Collaboration are assessed in the team project and the written exam.
The syllabus uses a three‑level framework:
| Theme | Example Issues |
|---|---|
| Culture | Sport in an international context; language & identity; media & popular culture. |
| Economics | Global trade & supply chains; poverty & development; digital economies. |
| Environment | Climate‑change mitigation; biodiversity loss; sustainable cities. |
| Ethics | Human rights; bio‑ethics; corporate social responsibility. |
| Politics | Governance & democracy; migration policy; international security. |
| Science & Technology | Artificial intelligence; health innovations; space exploration. |
Example: The issue “Sport in an international context” can be examined through the lenses of economics (commercialisation), politics (diplomacy), and culture (identity).
Choose methods that match the scope of your question and be prepared to discuss limitations such as sample size, access to data, or methodological bias.
| Argument | A reasoned claim supported by evidence. |
| Assumption | An unstated belief that underlies an argument. |
| Perspective | A point of view shaped by culture, economics, politics, etc. |
| Bias | A systematic distortion that influences the reliability of information. |
| Provenance | The origin and ownership history of a source. |
| Global significance | The extent to which an issue affects people, societies or the environment beyond a single nation. |
| Criterion (AO2) | Evidence of Achievement | Self‑Rating (1‑5) |
|---|---|---|
| Clear description of learning outcomes | Summarises aims, processes and key findings. | |
| Critical evaluation of methods | Identifies strengths, weaknesses, alternatives and ethical considerations. | |
| Recognition of limitations | Discusses data gaps, bias, provenance issues and time constraints. | |
| Link to future research | Proposes concrete next steps, new methods or expanded scope. | |
| Personal learning and development | Reflects on skill growth, attitude change and impact on future academic work. |
Note: Each row directly addresses a requirement of AO2. Use the self‑rating to identify where further development is needed.
Description: I investigated the impact of social media on youth political engagement in three European countries (Germany, Spain and Sweden) using an online questionnaire and semi‑structured interviews.
Feelings: I began the project feeling confident about the questionnaire design, but anxiety grew when the response rate fell below 15 %.
Evaluation: The mixed‑methods approach generated rich qualitative insights, yet the quantitative sample was too small to allow statistical generalisation.
Analysis: Low response rates were linked to limited outreach channels (only university mailing lists were used). This introduced a bias toward digitally literate participants and reduced the diversity of political viewpoints.
Conclusion: The study confirmed a correlation between frequent social‑media use and heightened political awareness, but the extent of causality remains uncertain because of sampling bias and the cross‑sectional design.
Action Plan: For the next phase I will (1) partner with secondary schools and youth organisations to broaden recruitment, (2) pilot a longitudinal questionnaire to track changes over a 12‑month period, and (3) incorporate a short experimental task to test causality more directly.
Source: Adapted from a candidate response (Cambridge International, 2024) to illustrate AO2 reflection.
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