Ghana curriculum lesson note

SHS 1 Accounting 2nd Semester Week 13 Lesson Plan

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Weekly Learning Plan
SubjectAccountingWeek13
Duration60 minutesFormSHS 1
StrandCost AccountingSub-StrandAnalysing Information for Control and Decision Making
Learning Outcome(s)1.2.3.LO.1 - Explain the key ideas related to variance analysis.
Learning Indicator(s)1.2.3.LI.5 - Variance analysis
Lesson FocusVariance analysis
Previous KnowledgeLearners recall the immediately preceding knowledge/skill needed to engage with Variance analysis; the starter diagnoses this rather than assuming mastery.
Lesson Objective(s)Identify or explain the key subject idea/procedure in Variance analysis. Complete the concrete guided/practical task for Variance analysis accurately. Apply Variance analysis independently to a new case, data set, text, material or performance situation.
Essential Question(s)What evidence or procedure is needed to work accurately with Variance analysis? What would a strong practical/application response to Variance analysis look like? How would changing the context, data or constraints affect a decision about Variance analysis?
Pedagogical StrategiesDiagnostic questioning Experiential/problem-based learning Collaborative analysis Guided modelling Independent application Peer/self assessment
Teaching & Learning ResourcesBudget/standard cost sheet Actual-results table Variance worksheet Calculator
Key Notes on Differentiation
ContentProvide a partially completed example, labelled materials or vocabulary support for learners who need scaffolding in Variance analysis. Extend the task by adding a new constraint, less familiar case or requirement to compare alternatives in Variance analysis.
ProcessUse mixed-ability pairs for the first application, then require an individual transfer task. Allow oral/visual demonstration where appropriate while retaining the same subject accuracy criteria.
ProductUse a checklist/rubric tied to the concrete output for this week rather than participation alone. For advanced work, require justification with evidence, calculations, source reference or quality criteria.
Success CriteriaThe learner uses correct subject terminology and evidence. The learner completes the week’s concrete product/calculation/performance with acceptable accuracy. The learner explains why the procedure/choice fits the stated context rather than giving a memorised general answer.
HomeworkComplete a second data set on Variance analysis; show all workings and add one sentence interpreting the result.
Lesson Activities
StageTeacher ActivityLearner ActivityAssessment / DoK
Starter10 minutesPlace a small set of authentic-looking accounting records on the board/table and ask learners which records are needed to solve a problem about Variance analysis.Inspect the prompt/materials, record an initial response about Variance analysis, and justify it briefly.Not provided.
Activity 115 minutesDemonstrate the first worked step for Variance analysis using the supplied documents/data, making every debit, credit, adjustment or cost assumption explicit.Read a budget/standard-cost card and identify planned quantities, rates, prices and activity levels.Check classification, account direction and arithmetic at the first key step.
Activity 220 minutesGive pairs a complete data set for Variance analysis; require full workings and a cross-check rather than answers only.Prepare a simple functional budget or calculate stated material/labour/overhead variances from budget versus actual data.Mark workings for method, accuracy and internal checks.
Activity 310 minutesGive a shorter unseen data set on Variance analysis for individual completion.Classify the result as favourable/adverse where applicable and recommend one management response.Check the unseen item independently and require correction of any error.
Lesson ClosureReview one deliberate accounting error related to Variance analysis; learners identify it, correct it and state how the error would affect the records or decision. Complete a one-minute exit response using a concrete example from the lesson on Variance analysis.

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