AICE Environmental Management AS - Environmental Research and Data Collection Day 6

2. Environmental Research and Data Collection Day#6. Lesson plan

2.3 Collection of environmental data
- explain how random sampling and systematic sampling strategies aim to ensure samples are well distributed with a low risk of bias

Primary data: information that is collected by the researcher.
Secondary data: that is collected by somebody else in a separate investigation.
Random sampling: samples based on drawing names or numbers out of a hat or using computer programs to give a random list.
Systematic sampling: choosing a sample based on regular intervals rather than random selection.

Before the class, prepare two bags of candy with various colors. One bag should have an even distribution of colors, while the other should have a biased distribution (e.g., more reds than other colors).
Divide your students into small groups and give each group a bag. Without looking inside, ask them to randomly select 10 pieces of candy from their bag and record the colors they pick.
After the sampling, have each group share their results. Lead a discussion on how the samples differed and why. Explain that just like the candy sampling, environmental scientists use random and systematic sampling to ensure they gather representative data.
This activity not only grabs students’ attention but also sets the stage for understanding the importance of unbiased sampling methods in environmental studies.

Bell ringer #6
Lecture (Chapter 2.3, 2.4, 2.5 PPT – slides 1-5)
- Random sampling involves selecting samples in such a way that every member of the population has an equal chance of being chosen. This method minimizes bias and ensures that the sample is representative of the entire population.
- Systematic sampling involves selecting samples at regular intervals from a larger population. This method is particularly useful when the population is homogeneous, as it ensures an even distribution of samples across the area of interest.

Use Student Guided Notes – This year, I’m using Version B Guided Notes with my students, as I’ve noticed they benefit from having more structured support during class.
- It features fill-in-the-blank prompts for key vocabulary and concepts, making notetaking faster and more accessible, especially for English language learners or those with processing difficulties.

Objective: To collect and analyze data.
- Students write a lab report including: Title, Hypothesis, Materials, Procedures, Data collection and observations, Analysis, Conclusions.
- Students collect quantitative data ( the number of germinated seeds) for each salinity group.
- Have students compile their data into tables and graphs to visualize the impact of salt concentration on seed germination.
- Discuss the results as a class, highlighting any trends and deviations from initial hypotheses.
Further, have students share the data with the class (write it on the whiteboard)
Discuss the importance of having multiple trials (each group’s data is considered one trial)
Have students identify any anomalous results
Students calculate the class average seed germination at each salinity and graph the average germination.
Guide students to draw conclusions based on the data.
Discuss the broader implications of their findings for agriculture, especially in areas affected by salinity.
Connect the lesson back to the initial scenario of the coastal community, encouraging students to propose solutions based on their experiment.

Exit ticket
- If you opt to have students complete their notes using the Student Guided Notes format during your lecture, then use the bellringer as the exit ticket activity in class.
- If you opt to have students complete their notes using the Student Guided Notes format at home (homework), then use the following exit ticket activity:
  - Describe the difference between random and systematic sampling.

Version A – For High-Level Students:
Ideal for independent or advanced learners, this version requires students to copy all notes by hand as homework before class. This flipped-learning approach helps students come to class prepared, freeing up time for application activities, discussions, and AICE-style practice questions.