Lesson Plan

Lesson Plan
Grade: Date: 18/01/2026
Subject: Information Technology IT
Lesson Topic: Explain calibration techniques (one-point, two-point, multi-point)
Learning Objective/s:
  • Describe the purpose of calibration and its effect on sensor accuracy.
  • Explain one‑point, two‑point, and multi‑point calibration methods and appropriate use cases.
  • Calculate gain and offset for two‑point calibration using given reference values.
  • Apply polynomial fitting or lookup‑table techniques to perform multi‑point calibration.
  • Evaluate the advantages and limitations of each technique to select the most suitable method.
Materials Needed:
  • Projector or interactive whiteboard
  • Slide deck with calibration flowcharts
  • Sample sensor (e.g., temperature probe) and data‑acquisition software
  • Reference standards (ice bath, boiling water, calibrated thermocouple)
  • Worksheets for calculation exercises
  • Laptops with spreadsheet/IDE for each student
Introduction:

Begin with a quick poll asking why accurate sensor readings matter in real‑world control systems. Connect this to students’ prior experience with temperature or pressure monitoring. State that by the end of the lesson they will be able to choose and apply the correct calibration technique and justify their choice.

Lesson Structure:
  1. Starter – Recall quiz (5') on calibration concepts and common errors.
  2. Direct instruction – One‑point calibration explanation and live demo (10').
  3. Guided practice – Two‑point calibration calculations using the worksheet (12').
  4. Collaborative activity – Groups perform multi‑point calibration in a spreadsheet, fit a second‑order polynomial, and create a lookup table (10').
  5. Comparison discussion – Review results, fill the comparison table, and discuss pros/cons of each method (8').
  6. Check for understanding – Exit‑ticket question: “Which calibration technique would you choose for a non‑linear sensor and why?” (5').
Conclusion:

Summarise the key steps of each calibration technique and highlight how the choice depends on sensor linearity, required accuracy, and resource constraints. Collect exit tickets to gauge understanding, and assign a homework task to calibrate a simulated sensor using at least two techniques and write a brief justification.