JSS 1 Second Term

Lesson objectives

By the end of the week, learners should be able to:

1. Trace how raw data becomes information inside a computer system.
2. Describe the role of an input device, processing unit and output device in data handling.
3. Sequence the stages of data processing from receipt to output.
4. Classify given processes as automatic or manual and explain why some steps need human checking.
5. Create a simple data flow diagram for an everyday task such as ordering supplies.

Key vocabulary

• Raw data: facts and figures taken straight from the source, such as a list of inventory counts.
• Processing: organising, sorting, calculating or reformatting data.
• Information: processed data that makes sense to the person receiving it.
• Input: entering data into the computer.
• Output: presenting processed information to the user.
• Automatic: executed by the computer without human intervention.
• Manual: requiring a human to perform the step.
• Data flow diagram: a visual map showing how data moves through inputs, processing and outputs.

Common misconceptions

• "Data turns into information automatically." Raw data needs people to enter, sort and interpret it; processing alone does not make it meaningful.
• "Processing is the same as thinking." The computer follows instructions precisely; human judgment checks for correctness.
• "Manual work is slow and unprofessional." Manual steps still improve accuracy when humans check the result.

Teacher activities

1. Starter: hold up a grocery list and a cleaned grocery bill; ask which is raw data and which is information.
2. Map the IPO cycle on the board for an order-processing task: receipt the data, process it, produce an output.
3. Model the four stages by walking through one data processing task at the board.
4. Show two contrasting examples: an automated temperature logger and a human entering exam marks.
5. Set the data flow diagram task in pairs; collect and review two diagrams drawn by pairs.
6. Close with the exit question and a one-minute recall check on IPO stages.

Student activities

1. State whether the starter examples are raw data or information.
2. Copy the IPO cycle onto paper and write one stage for a shopping example.
3. Complete the data flow diagram for an order processing task.
4. Compare two processes and state whether each is automatic or manual, with a reason.
5. Answer the recall check in one sentence per stage.
6. Write the exit question in one sentence about why a human must check machine output.

Practical / learning evidence

A completed data flow diagram with columns labeled Input, Processing, Output, and one human-check entry where required. Plus a one-page comparison table of two contrasting data-processing tasks showing automatic versus manual steps.

Resources and preparation

Printed IPO diagram template, a data-flow case study card (order processing), blank diagrams and a case study worksheet. Offline route: paper IPO charts and case study cards, no device needed.

Assessment for learning

Check the IPO stages for a sensible order-processing sequence. Inspect the data flow diagram for the column labels and the human check step. Ask three learners to explain why processing alone does not turn raw data into information.

Inclusion and homework

Provide the IPO diagram as a printed template for learners who struggle and allow oral completion. Extend confident learners with a second data-flow diagram for a school results calculation. Homework: explain in one sentence why placing a human check between processing and output improves reliability.