Forward Plan for Mathematics: Data Handling - Bar Graphs
Lesson 1: Introduction to Data Handling Objective: By the end of this lesson, learners should be able to understand the concept of data handling and its importance in real life situations.
Lesson 2: Collecting Data Using Tables Objective: By the end of this lesson, learners should be able to collect data from real life situations and organize it using tables.
Lesson 3: Representing Data through Piling Objective: By the end of this lesson, learners should be able to represent data from real life situations using piling method.
Lesson 4: Introduction to Bar Graphs Objective: By the end of this lesson, learners should be able to understand the concept of bar graphs and their purpose in representing data.
Lesson 5: Creating Bar Graphs Objective: By the end of this lesson, learners should be able to create bar graphs to represent data collected from real life situations.
Lesson 6: Interpreting Information from Bar Graphs Objective: By the end of this lesson, learners should be able to interpret information presented in bar graphs and draw conclusions from the data.
Lesson 7: Using IT Devices for Learning Bar Graphs Objective: By the end of this lesson, learners should be able to use IT devices to learn more about bar graphs and practice creating them.
Lesson 8: Appreciating the Use of Bar Graphs in Real Life Objective: By the end of this lesson, learners should be able to appreciate the importance and relevance of bar graphs in real life situations.
Desired Outcome: By the end of the sub-strand, the learner should be able to: a) Collect and represent data from real life situations using tables. b) Represent data from real life situations through piling. c) Represent data from real life situations using bar graphs. d) Interpret information from bar graphs. e) Use IT devices for learning more about bar graphs and for leisure. f) Appreciate the use of bar graphs in real life.
Note: The lessons and objectives are aligned with the Kenyan curriculum for grade 6 learners aged 12 years, with a focus on Bar Graphs in the topic of Data Handling.