fieldwork: data collection and presentation
4 detailed 50-minute lessons with teaching scripts, worked examples, parent guides, and assessment criteria.
Lesson Overview
Total Lessons: 4
Tier: Foundation and Higher
Duration: 50 minutes per lesson (200 minutes total)
Exam Boards: AQA, Edexcel, OCR, Eduqas, CCEA
Tier: Foundation and Higher
Duration: 50 minutes per lesson (200 minutes total)
Exam Boards: AQA, Edexcel, OCR, Eduqas, CCEA
Learning Objectives
- Explain the key ideas of fieldwork: data collection and presentation
- Apply fieldwork: data collection and presentation to exam-style questions
- Develop independent study skills
- Build cross-topic connections
Prerequisites
- Read the revision notes for fieldwork: data collection and presentation first (GCSE Revise summary)
- Key vocab to pre-teach: Primary Data, Key Concept, Key Principle
- Basic skills: reading the summary notes and answering the practice questions there
Materials & Equipment
- Exercise book, coloured pens
- Ruler
- Printed revision notes (link below)
- Internet for videos (see Resources)
Lesson 1: Introduction: fieldwork: data collection and presentation
Duration: 50 minutes
Starter Activity (5 minutes)
Quick Recall
Write down everything you already know about fieldwork: data collection and presentation. Then check against the key terms: Primary Data, Key Concept, Key Principle. Use a mini-whiteboard or paper.
Main Content (35 minutes)
Parent/Teacher Guide:
Before lesson: Read the script below. Pre-teach key vocab: Primary Data, Key Concept, Key Principle.
If stuck: Re-read the revision notes (link above), then break the content into smaller steps.
Extension: See the Stretch & Challenge ideas in Lesson 4.
Before lesson: Read the script below. Pre-teach key vocab: Primary Data, Key Concept, Key Principle.
If stuck: Re-read the revision notes (link above), then break the content into smaller steps.
Extension: See the Stretch & Challenge ideas in Lesson 4.
Teaching Script (35 mins):
Mins 0-5 - Hook: "Today: fieldwork: data collection and presentation. By the end you will be able to answer exam questions on it unaided. It connects to the rest of Geography because the ideas here recur across the spec."
Mins 5-20 - Direct Instruction: Work through the core ideas below one at a time; after each, ask your student to explain it back in their own words.
Mins 20-30 - Guided Practice: Model the worked example together, then let your student attempt the first practice question with guidance.
Mins 30-35 - Independent Practice: 2-3 practice questions from Lesson 3 below, with immediate feedback.
Mins 0-5 - Hook: "Today: fieldwork: data collection and presentation. By the end you will be able to answer exam questions on it unaided. It connects to the rest of Geography because the ideas here recur across the spec."
Mins 5-20 - Direct Instruction: Work through the core ideas below one at a time; after each, ask your student to explain it back in their own words.
Mins 20-30 - Guided Practice: Model the worked example together, then let your student attempt the first practice question with guidance.
Mins 30-35 - Independent Practice: 2-3 practice questions from Lesson 3 below, with immediate feedback.
First Look
Start with the revision notes summary, then attempt: Explain the difference between primary and secondary data, giving two examples of each from fieldwork.
Plenary (5 minutes)
Check Out
Your student states one thing they learned and one question they still have about fieldwork: data collection and presentation.
Lesson 2: Core Concepts: fieldwork: data collection and presentation
Duration: 50 minutes
Starter Activity (5 minutes)
Review Previous Lesson
Quick recap: write 3 key points from Lesson 1 on fieldwork: data collection and presentation. Check them against the notes below.
Main Content (35 minutes)
Primary Data: Data collected firsthand by the researcher specifically for their enquiry. It is original, specific to the study, and up-to-date. Secondary Data: Data collected by someone else, previously, for a different purpose. It provides wider context and comparison.
Key Concept: Sampling means selecting a subset of the total population or area to study. You cannot measure everything, so you take a representative sample. The sampling method determines how representative and unbiased your data is.
Definition: Systematic sampling collects data at regular, predetermined intervals. For example, measuring river characteristics every 500 metres downstream, or surveying every 5th house on a street.
Definition: Random sampling selects points entirely by chance, with no pattern or preference. Each point has an equal probability of being selected. Methods include using a random number generator, drawing grid references from a hat, or throwing a quadrat.
Definition: Stratified sampling divides the study area into subgroups (strata) based on known characteristics, then samples proportionally from each stratum. This ensures all subgroups are represented.
Key Principle: The presentation method should clearly show the pattern or relationship you want to demonstrate. The best choice depends on the type of data (continuous, categorical, proportional) and what you want to show (change over distance, comparison between places, distribution across an area).
| Term | Meaning | Example |
|---|---|---|
| Definition | Collected by you during fieldwork | Collected by others before your study |
| Examples | Velocity measurements, environmental quality surveys, pedestrian counts, questionnaires | Census data, OS maps, government statistics, newspaper articles, Google Earth imagery |
| Advantages | Specific to your hypothesis; up-to-date; you control the method; reliable if collected carefully | Quick and cheap to access; wider coverage; longer time periods; professional collection methods |
| Disadvantages | Time-consuming to collect; limited sample size; may be affected by weather/day of visit; potential for human error | May be outdated; may not exactly match your needs; accuracy unknown; may contain bias |
| Measurements | River width (tape measure), depth (ranging pole), velocity (flow meter/timer and float), bedload size (callipers) | Building heights, distance from CBD (tape/GPS), noise levels (decibel meter) |
| Surveys/Counts | Sediment roundness (Power's Scale), vegetation cover (%), angle of slope (clinometer) | Environmental quality survey, land use survey, pedestrian counts, traffic counts |
| Questionnaires | Tourist surveys at coastal sites | Shopper questionnaires, resident interviews about quality of life |
| Field sketches/Photos | River cross-sections, coastal landforms, evidence of erosion/deposition | Street scenes, land use zones, regeneration sites |
Practice (10 minutes)
Q: Explain the difference between primary and secondary data, giving two examples of each from fieldwork.
Answer: Primary data is collected firsthand by the researcher: e.g. river velocity measurements using a flow meter; environmental quality scores recorded on-site. Secondary data was collected by someone else for a different purpose: e.g. census population data; Environment Agency river discharge records. Primary data is specific to the study and up-to-date but time-consuming; secondary data provides wider context and comparison but may be outdated or not perfectly matched to the hypothesis.
Plenary (5 minutes)
Explain Back
Your student teaches the key points back to you without looking. Fill any gaps immediately.
Lesson 3: Application: fieldwork: data collection and presentation
Duration: 50 minutes
Starter Activity (5 minutes)
Quick Recall
Recall the key terms: Primary Data, Key Concept, Key Principle. Define each in one sentence.
Main Content (35 minutes)
Parent/Teacher Guide: Let your student attempt each question alone first, then compare with the model answer. Award method marks for correct working even if the final answer is wrong.
Q1: Explain the difference between primary and secondary data, giving two examples of each from fieldwork.
Answer: Primary data is collected firsthand by the researcher: e.g. river velocity measurements using a flow meter; environmental quality scores recorded on-site. Secondary data was collected by someone else for a different purpose: e.g. census population data; Environment Agency river discharge records. Primary data is specific to the study and up-to-date but time-consuming; secondary data provides wider context and comparison but may be outdated or not perfectly matched to the hypothesis.
Q2: Compare systematic and random sampling. When might each be the better choice?
Answer: Systematic sampling collects data at regular intervals (e.g. every 500m), while random sampling selects points by chance. Systematic is better when you want to cover the whole area evenly and identify trends along a transect (e.g. river changes downstream). Random is better when you want to eliminate all selection bias and the area is fairly uniform. However, random sampling may cluster or miss areas, while systematic may coincide with a regular pattern in the data.
Q3: Explain what stratified sampling is and why it might be used in an urban fieldwork study.
Answer: Stratified sampling divides the study area into subgroups (strata) based on known characteristics, then samples proportionally from each. In urban fieldwork, this is useful because towns have distinct zones (CBD, inner city, suburbs) with very different characteristics. By sampling proportionally from each zone, you ensure all parts of the town are represented. For example, if the CBD is 15% of the area, 15% of surveys should be conducted there.
Q4: Suggest the most appropriate presentation method for each of the following: (a) river width at 10 sites downstream; (b) land use proportions in a town centre; (c) the relationship between distance from the CBD and house prices.
Answer: (a) Line graph - shows continuous change along a transect (distance downstream on x-axis, width on y-axis). (b) Pie chart - shows proportions of different land uses making up the whole. (c) Scatter graph - shows the relationship between two continuous variables (distance from CBD and house price) with a line of best fit to identify the trend.
Q5: Explain why the choice of sampling method affects the reliability of fieldwork conclusions.
Answer: The sampling method determines how representative the data is of the whole area. A biased sample (e.g. only collecting data near roads because they are easy to access) will give results that don't reflect the true pattern. Systematic sampling ensures even coverage but may miss features between points. Random sampling eliminates bias but may leave gaps. Stratified sampling ensures all groups are represented. If the sampling method is poor, conclusions may be unreliable even if data collection is accurate - the sample simply doesn't represent reality.
Plenary (5 minutes)
Error Review
Review any questions answered incorrectly. Identify whether the error was knowledge, method, or reading the question.
Lesson 4: Exam Practice: fieldwork: data collection and presentation
Duration: 50 minutes
Starter Activity (5 minutes)
Command Words
Review what these command words require: state (one point), describe (say what happens), explain (say why), compare (both sides), evaluate (judgement).
Main Content (35 minutes)
Exam-Style Question
Attempt a past-paper style question on fieldwork: data collection and presentation from the exam board past paper finder (see Resources), then mark it against the scheme.
Exam Tips: Know which sampling method you used and be able to justify why | Be specific about your data collection methods (e.g. "flow meter at 0.5m depth" not just "measured velocity") | Presentation method must match the data type and what you want to show | Always include titles, labels, axes, units, and keys on all presentations | Common exam question: "Suggest an alternative presentation method and explain why it would be suitable" | Be able to evaluate your presentation choices - what worked well and what could be improved | Remember: choropleth maps show density/patterns; scatter graphs show relationships; line graphs show change
Common Errors: Watch Out! Students often write vague answers without specific geographical evidence. Wrong: Writing generalised statements like 'it causes problems' Correct: Using specific data and named examples, e.g. 'the 2010 Haiti earthquake killed over 200,000 people due to poor building quality' Students often confuse causes and effects. Wrong: Mixing up what caused the event with what resulted from it Correct: Clearly separate causes (why it happened) from effects (what happened as a result) Students often describe rather than evaluate. Wrong: Listing strategies without assessing their effectiveness Correct: Weighing up strengths and weaknesses of each approach and reaching a supported judgement
Stretch & Challenge (Grade 8-9):
- Synoptic links: explain how fieldwork: data collection and presentation connects to another Geography topic you have studied
- Real-world: research one real-world use or example of fieldwork: data collection and presentation
- Critical: "What are the limitations of the models used in fieldwork: data collection and presentation?"
Plenary (5 minutes)
Assessment Criteria
- Got it: Confident explanation + correct worked examples
- Getting there: Main points OK, needs support with detail
- Not yet: Confused on key concepts - re-run Lesson 2
Homework & Consolidation
- Consolidation: Re-answer any Lesson 3 practice questions answered incorrectly (20 mins)
- Retrieval: Write flashcards for the key terms: Primary Data, Key Concept, Key Principle (10 mins)
- Exam practice: One past-paper question on fieldwork: data collection and presentation from the board websites (15 mins)
- Extension: Explain fieldwork: data collection and presentation to someone else in your own words (10 mins)