Ghana curriculum lesson note

SHS 3 Additional Mathematics 2nd Semester Week 14 Lesson Plan

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Weekly Learning Plan
SubjectAdditional MathematicsWeek14
Duration60 minutesFormSHS 3
StrandHandling DataSub-StrandMaking Predictions with Data
Learning Outcome(s)3.4.2.LO.1 - Solve problems involving conditional Com probability using permutations and par combinations. tol app ide 3.4.2.LO.2 - Use the concepts of permutation GESI: and combination to solve real life teach problems. equal
Content Standard3.4.2.CS.1
Learning Indicator(s)3.4.2.LI.3 - problems involving conditional probabilities. 3.4.2.LI.4 - Model and solve real life problems involving binomial probability.
Lesson Focusproblems involving conditional probabilities.
Previous KnowledgeLearners recall related ideas, vocabulary or experiences from earlier lessons and everyday contexts.
Lesson Objective(s)Describe the key idea in: problems involving conditional probabilities. 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 problems involving conditional probabilities; Model and solve real life problems involving binomial probability? How can problems involving conditional probabilities; Model and solve real life problems involving binomial probability be represented, explained and checked? When is the method used in problems involving conditional probabilities; Model and solve real life problems involving binomial probability useful, and why?
Pedagogical StrategiesDiagnostic questioning Worked-example modelling Worked-example fading Think-pair-share Guided problem solving Error analysis
Teaching & Learning ResourcesWhiteboard and markers Exercise books Pens/pencils
Key Notes on Differentiation
ContentUse a scaffolded version of the core problems involving conditional probabilities; Model and solve real life problems involving binomial probability task with intermediate prompts where support is needed. Use an extension requiring generalisation, proof, a less familiar representation or application of problems involving conditional probabilities; Model and solve real life problems involving binomial probability for learners ready to advance.
ProcessUse 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.
ProductRequire 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 CriteriaLearners use correct subject vocabulary. Learners complete the main task with reasonable accuracy. Learners explain or demonstrate how the concept applies in a new situation.
HomeworkComplete mixed practice questions with full working and one short explanation of method.
Lesson Activities
StageTeacher ActivityLearner ActivityAssessment / DoK
Starter10 minutesWrite a short problem on making predictions with 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 minutesModel one worked example on making predictions with 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 minutesGuide pairs to solve two graded questions on making predictions with 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 minutesGive an unfamiliar problem on making predictions with 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 ClosureSummarise making predictions with data and correct one common misconception using learner examples. State one thing learned and complete the exit response.

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