Lesson Plan

Lesson Plan
Grade: Date: 17/01/2026
Subject: Information Technology IT
Lesson Topic: Understand differences between data and information
Learning Objective/s:
  • Describe the distinction between raw data and processed information.
  • Explain the transformation steps from data collection to information presentation.
  • Compare characteristics of data and information using given aspects.
  • Apply a simple calculation to convert a set of data into meaningful information.
  • Evaluate the importance of accurate data handling for decision‑making.
Materials Needed:
  • Projector or interactive whiteboard
  • Slides with definitions and comparison table
  • Sample data set handout (e.g., temperature readings)
  • Calculator or spreadsheet software
  • Worksheet for transformation steps activity
  • Exit‑ticket cards
Introduction:

Begin with a quick poll: “What do you think the word data means?” Capture responses, then link to prior lessons on data collection. Clarify that today’s focus is distinguishing data from information and identifying how raw data becomes useful. Students will know they can demonstrate this by completing a short transformation activity and explaining its relevance to real‑world decisions.

Lesson Structure:
  1. Do‑Now (5') – Students write definitions of data and information on sticky notes; share and discuss misconceptions.
  2. Direct Instruction (10') – Present definitions, characteristics comparison, and flowchart using slides.
  3. Guided Practice (12') – Work in pairs to fill a comparison table for given examples; teacher circulates for feedback.
  4. Transformation Activity (15') – Provide temperature data set; students calculate average using calculator/spreadsheet and write the resulting information.
  5. Class Discussion (8') – Groups explain how each step (collection, validation, processing, interpretation, presentation) was applied in their activity.
  6. Formative Check (5') – Quick quiz (digital or paper) with three scenario questions to identify data vs. information.
  7. Wrap‑up (5') – Review key points and answer lingering questions.
Conclusion:

Summarise that data becomes information only after it is processed, validated, and presented in a meaningful context. For the exit ticket, each student writes one real‑world example of data turned into information. Assign homework: find a daily life data set, calculate a simple statistic, and describe how it could inform a decision.