Ghana curriculum lesson note

SHS 1 Computing 2nd Semester Week 7 Lesson Plan

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Weekly Learning Plan
SubjectComputingWeek7
Duration60 minutesFormSHS 1
StrandCOMPUTATIONAL THINKING (PROGRAMMING LOGIC)Sub-StrandALGORITHM AND DATA STRUCTURE
Learning Outcome(s)1.2.1.LO.1 - Apply knowledge of data structures to explain their real-life applications effectively
Content Standard1.2.1.CS.1
Learning Indicator(s)1.2.1.LI.1 - Demonstrate knowledge and understanding of Computational Thinking (Algorithms and Programs) Explain and use Algorithms to solve a real-life problem. Identify the stages in the programme development cycle: Analysis, design, coding, testing Collaborative Learning: • Group discussion on the understanding of Algorithms and relate it to real-time problems. • Project-based learning within a practical session (individual and mixed ability/gender sensitive groups work with no stereotyping) to use algorithms to solve real-time problems using the programme development cycle
Lesson FocusDemonstrate knowledge and understanding of Computational Thinking (Algorithms and Programs) Explain and use Algorithms to solve a real-life problem.
Previous KnowledgeLearners recall related ideas, vocabulary or experiences from earlier lessons and everyday contexts.
Lesson Objective(s)Describe the key idea in: Demonstrate knowledge and understanding of Computational Thinking (Algorithms and Programs) Explain and use Algorithms to solve a real-life problem. Apply the idea through guided and independent learning activities. Demonstrate understanding through oral responses, written work or practical performance.
Essential Question(s)What computing concept, system, algorithm or technology is central to Demonstrate knowledge and understanding of Computational Thinking (Algorithms and Programs) Explain and use Algorithms to solve a real-life problem. Identify the stages in the programme development cycle: Analysis, design, coding, testing Collaborative Learning: • Group discussion on the understanding of Algorithms and relate it to real-time problems. • Project-based learning within a practical session (individual and mixed ability/gender sensitive groups work with no stereotyping) to use algorithms to solve real-time problems using the programme development cycle? How can we model, test or build the concept using hardware, software, code, diagrams or simulation? How can this knowledge be applied to solve a new real-life computing problem?
Pedagogical StrategiesProblem-Based Learning Collaborative Learning Pair Programming/Peer Review where appropriate Demonstration and Guided Practice Project-Based Learning Digital/Simulation-Based Learning Computational Thinking Debugging/Test-Driven Practice
Teaching & Learning ResourcesComputer(s) where available Projector/TV where available Computing textbook/reference materials Whiteboard/markers Learners' notebooks Network diagrams Router/switch/cable samples or images where available Network simulation software where available Flowchart/pseudocode sheets Programming environment or simulator where available Code editor/IDE or visual programming environment Sample code files
Key Notes on Differentiation
ContentUse labelled diagrams, step-by-step worked examples, starter code, partially completed flowcharts or guided configuration sheets for learners who need support. Extend advanced learners with optimisation, debugging, system-design trade-offs, additional features or more complex test cases.
ProcessUse mixed-ability grouping and pair work, rotating roles such as driver, navigator, tester, documenter or presenter. Where devices or internet access are limited, use offline simulators, printed code/diagrams, unplugged activities and shared-device rotations without changing the learning objective.
ProductAllow appropriate evidence such as annotated diagrams, algorithms, pseudocode, code, app screens, webpages, network designs, troubleshooting reports or presentations. Assess correctness, computational reasoning, functionality, testing/debugging, documentation, responsible digital practice and ability to justify design decisions.
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 a short application task connected to the week's learning indicator.
Lesson Activities
StageTeacher ActivityLearner ActivityAssessment / DoK
Starter10 minutesShow a simple digital example involving computational thinking (algorithms and programs) explain and use algorithms to solve a real-life problem and ask learners to predict what is happening.Share prior knowledge, listen to peers and record the lesson question in their notebooks.Not provided.
Activity 115 minutesDemonstrate computational thinking (algorithms and programs) explain and use algorithms to solve a real-life problem using a board sketch, device setting, code snippet, data table or simulation.Observe the demonstration, identify the key parts and explain their functions.Ask learners to define the key term and identify it in the demonstration.
Activity 220 minutesGuide learners through a hands-on task where they apply computational thinking (algorithms and programs) explain and use algorithms to solve a real-life problem and record the result.Complete the practical task, test the result and note any errors or fixes.Check the task output for correct procedure, testing and explanation.
Activity 310 minutesPresent a different digital scenario and ask learners to use computational thinking (algorithms and programs) explain and use algorithms to solve a real-life problem to solve or explain the result.Apply the idea to the new scenario and present the result or explanation.Use a short exit task requiring learners to apply the idea in another digital context.
Lesson ClosureSummarise computational thinking (algorithms and programs) explain and use algorithms to solve a real-life problem and correct one common misconception using learner examples. State one thing learned and complete the exit response.

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