Topics
- 2.1 The scientific method
- 2.2 Environmental research in the context of climate change
- 2.3 Collection of environmental data
- 2.4 Data collection techniques and data analysis
- 2.5 The use of technology in data collection and analysis
Time-frame
- Time-frame for block schedule [90 min class period] – 4 weeks/ 10 class periods
- Time-frame for regular schedule [45 -50 min class period] – 4 weeks/ 19 -20 class periods
Resources
(click on the links below)
- PowerPoint/ Lecture/Notes – 2.1 and 2.2
- PowerPoint/ Lecture/Notes – 2.3, 2.4 and 2.5
- Guided Notes – 2.1 and 2.2
- Guided Notes – 2.3, 2.4 and 2.5
- Bell Ringer
- Design an investigation/experiment
- Graphing and data analysis – Part 1
- Graphing and data analysis – Part 2
- Analyzing graphs – Practice/handout
- Identify variables
- Exploring biodiversity with Simpson’s index
- Puzzle Review Game
- Study Guide/Outline
- BUNDLE
- Make-Your-Own-Bundle
Daily Agenda and Resources
The agenda provided is structured for block schedules with 90-minute classes. For teachers working with 40–45-minute periods, I recommend dividing each lesson into two parts:
- Day 1: Deliver the lecture content.
- Day 2: Use the bell ringer and complete the activities.
This approach ensures full coverage of the material while maintaining the intended balance between direct instruction and active learning.
Note: All pacing suggestions are estimates. Adjust the time to accommodate for specific student needs and interests.
Day 1 Lesson
- 2.1 The scientific method
Objectives
- Identify variables
- Design investigations
Day 2 Lesson
- 2.1 The scientific method
Objectives
- Graphing data
- Analyzing graphs
Day 4 Lesson
- 2.2 Environmental research in the context of climate change
Objectives
- define the terms reliable and bias and explain their significance to environmental investigations
- using examples related to climate change, outline how historical data have developed
Day 5 Lesson
- 2.1 The scientific method
- Quiz
Objectives
- Lab activity – Day 2
Instructional Materials
Day 6 Lesson
- 2.3 Collection of environmental data
Objectives
- explain how random sampling and systematic sampling strategies aim to ensure samples are well distributed with a low risk of bias
Instructional Materials
Day 7 Lesson
- 2.4 Data collection techniques and data analysis
Objectives
- describe techniques used to collect sample data
- describe benefits and limitations of each sampling technique
- select and use a suitable sampling technique to collect environmental data
- calculate estimated population size using the Lincoln index
- estimate percentage cover and frequency using quadrat data
- estimate abundance using quadrat data
- 2.4 Data collection techniques and data analysis
- Review
Objectives
- calculate estimated biodiversity using the Simpson’s index of diversity
Day 9 Lesson
- 2.5 The use of technology in data collection and analysis
Objectives
- describe methods of data collection
that include the use of technology - describe what is meant by the term “big data”
- outline the benefits and limitations of the analysis of big data
Day 10 Lesson
- Test Day
Objectives
- Assess student’s mastery of the content
- Introduction to Unit#3 –students copy vocabulary words from the coursebook
Instructional Materials
Exposing students to proper blend of lecture, practice activities and questions is of paramount importance for their success on the Cambridge exam.
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