Ghana curriculum lesson note
SHS 3 Additional Mathematics 2nd Semester Week 11 Lesson Plan
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Create Lesson Plan| Weekly Learning Plan | |||
| Subject | Additional Mathematics | Week | 11 |
| Duration | 60 minutes | Form | SHS 3 |
| Strand | Handling Data | Sub-Strand | Organising, Representing and Interpreting Data |
| Learning Outcome(s) | 3.4.1.LO.1 - Describe the nature and strength of relationship between two given variables using scatter diagram and correlation coefficient. 3.4.1.LO.2 - Model and solve problems using GESI: L regression analysis. teachin equalit work wi cross-s among g • | ||
| Content Standard | 3.4.1.CS.2 | ||
| Learning Indicator(s) | 3.4.1.LI.1 - Describe the concept of regression and distinguish between correlation and re describe situations that call for the use of regression. 3.4.1.LI.2 - Fit a linear function to a given data and use the line of best fit to solv context of the data. | ||
| Lesson Focus | Describe the concept of regression and distinguish between correlation and re describe situations that call for the use of regression. | ||
| Previous Knowledge | Learners recall related ideas, vocabulary or experiences from earlier lessons and everyday contexts. | ||
| Lesson Objective(s) | Describe the key idea in: Describe the concept of regression and distinguish between correlation and re describe situations that call for the use of regression. Apply the idea through guided and independent learning activities. Demonstrate understanding through oral responses, written work or practical performance. | ||
| Essential Question(s) | What prior mathematical ideas are needed for Describe the concept of regression and distinguish between correlation and re describe situations that call for the use of regression; Fit a linear function to a given data and use the line of best fit to solv context of the data? How can Describe the concept of regression and distinguish between correlation and re describe situations that call for the use of regression; Fit a linear function to a given data and use the line of best fit to solv context of the data be represented, explained and checked? When is the method used in Describe the concept of regression and distinguish between correlation and re describe situations that call for the use of regression; Fit a linear function to a given data and use the line of best fit to solv context of the data useful, and why? | ||
| Pedagogical Strategies | Diagnostic questioning Worked-example modelling Worked-example fading Think-pair-share Guided problem solving Error analysis | ||
| Teaching & Learning Resources | Whiteboard and markers Exercise books Pens/pencils Scientific calculators Graph sheets Ruler | ||
| Key Notes on Differentiation | |||
| Content | Use a scaffolded version of the core Describe the concept of regression and distinguish between correlation and re describe situations that call for the use of regression; Fit a linear function to a given data and use the line of best fit to solv context of the data task with intermediate prompts where support is needed. Use an extension requiring generalisation, proof, a less familiar representation or application of Describe the concept of regression and distinguish between correlation and re describe situations that call for the use of regression; Fit a linear function to a given data and use the line of best fit to solv context of the data for learners ready to advance. | ||
| Process | Use worked-example fading: complete example → partially completed example → independent problem. Pair learners for mathematical explanation; the listener must restate the reasoning before agreeing or correcting. | ||
| Product | Require a complete solution with correct notation, justified steps and a check of the result. For extension work, require comparison of two methods or a statement of when the method applies. | ||
| Success Criteria | Learners use correct subject vocabulary. Learners complete the main task with reasonable accuracy. Learners explain or demonstrate how the concept applies in a new situation. | ||
| Homework | Complete mixed practice questions with full working and one short explanation of method. | ||
| Lesson Activities | |||
| Stage | Teacher Activity | Learner Activity | Assessment / DoK |
| Starter10 minutes | Write a short problem on organising, representing and interpreting data and ask learners to suggest the first step before solving. | Share prior knowledge, listen to peers and record the lesson question in their notebooks. | Not provided. |
| Activity 115 minutes | Model one worked example on organising, representing and interpreting data, explaining the rule, notation and reason for each step. | Follow the worked example, ask questions and record the method clearly. | Ask learners to name the rule used and explain why it applies. |
| Activity 220 minutes | Guide pairs to solve two graded questions on organising, representing and interpreting data and compare their methods. | Solve the paired questions, compare answers and correct errors with reasons. | Check working steps, notation, accuracy and correction of errors. |
| Activity 310 minutes | Give an unfamiliar problem on organising, representing and interpreting data for independent solution and justification. | Solve independently and write a short justification for the method used. | Mark the independent task for correct method, final answer and explanation. |
| Lesson Closure | Summarise organising, representing and interpreting data and correct one common misconception using learner examples. State one thing learned and complete the exit response. | ||
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Create Lesson PlanMore SHS 3 Additional Mathematics 2nd Semester Lessons
Week 1Sub-strand: Principles of CalculusWeek 2Sub-strand: Principles of CalculusWeek 3Sub-strand: Principles of CalculusWeek 4Sub-strand: Applications of CalculusWeek 5Sub-strand: Applications of CalculusWeek 6Sub-strand: Applications of CalculusWeek 7Sub-strand: Organising, Representing and Interpreting DataWeek 8Sub-strand: Organising, Representing and Interpreting DataWeek 9Sub-strand: Organising, Representing and Interpreting DataWeek 10Sub-strand: Organising, Representing and Interpreting DataWeek 11 (current)Week 12Sub-strand: Making Predictions with DataWeek 13Sub-strand: Making Predictions with DataWeek 14Sub-strand: Making Predictions with DataWeek 15Sub-strand: Making Predictions with DataWeek 16Sub-strand: Making Predictions with Data