Maths • Year 8 • 45 • 1 students • Created with AI following Aligned with Australian Curriculum (F-10)
This is lesson 5 of 8 in the unit "Algebraic Fishing Adventures". Lesson Title: The Big Catch: Analyzing Patterns and Relationships Lesson Description: Students will analyze patterns in fishing data, learning how to identify trends and relationships. They will use algebraic expressions to describe these patterns and make predictions based on their findings.
Lesson Title: The Big Catch: Analysing Patterns and Relationships
Unit: Algebraic Fishing Adventures (Lesson 5 of 8)
Year Level: Year 8
Duration: 45 minutes
Class Size: 1 student
Australian Curriculum Alignment:
Mathematics – Year 8
ACMNA193: Extend and apply the distributive law to the expansion of algebraic expressions
ACMNA194: Factorise algebraic expressions by identifying and using common factors
ACMNA190: Plot linear relationships on the Cartesian plane with and without the use of digital technologies
ACMNA191: Solve linear equations using algebraic and graphical techniques
By the end of the lesson, the student will be able to:
The student will:
Activity:
Pose a scenario to set the context:
"Imagine you're a marine biologist studying fish populations along the east coast of Australia. You’ve been collecting data about how many fish are caught each day over time. Your job today is to predict how many fish might be caught tomorrow based on patterns in this data."
Visual Cue:
Provide the student with a laminated card showing a stylised map of Australian coastal regions with fictional data on average fish catches over a week. Introduce the term trend and relate it to what scientists use in the real world.
Mini-lesson:
Fish caught on day n = 3 + 2n
Hands-on Note-Taking:
The student creates a visual fishing journal (a foldable or interactive notebook section), adding this pattern with drawings representing fish for each day.
Activity: "Fishing Data Dive"
Provide the student with a fishing log containing fictional data of fish caught by a sustainable fishing crew over a fortnight. Example data points (simplified):
Day | Fish Caught |
---|---|
1 | 4 |
2 | 8 |
3 | 12 |
4 | 16 |
5 | 20 |
Task:
Teacher Prompts:
Differentiation Support:
Activity: "Forecast the Future Catch"
The student is given a new data set with a slightly irregular pattern – e.g., introduces a fixed starting number that’s not zero, or includes a repeating element.
Day | Fish Caught |
---|---|
1 | 10 |
2 | 13 |
3 | 16 |
4 | 19 |
5 | 22 |
Task:
Focus Questions:
Encourage reflection on whether the pattern is always linear.
Activity: "Fish Tales Wrap-Up"
The student completes a quick reflection prompt (write or speak):
“Today I discovered that patterns in data can be written using algebra. One thing I noticed was…, and I used algebra to…”
Then, draw a quick comic strip (2-block) showing themselves as a "data detective" predicting tomorrow’s catch using maths.
Teacher Checkpoint:
Use this opportunity to correct misconceptions or highlight strong reasoning skills.
Task:
Collect some kind of numerical pattern in the student’s own life (could be steps walked per day, number of glasses of water, minutes of video watched), identify a pattern over a few days, and write an algebraic expression to model it.
Prepare to share next lesson.
Lesson 6: Nets and Variables
Students will explore how constraints affect fish catch predictions using inequality statements and graphs.
This lesson ensures that the student not only masters the mathematical content but also engages with real-world context and applies critical thinking skills. With a strong narrative thread and interactive resources, it inspires deeper interest in algebra through a uniquely Australian lens.
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