INFORMATION TECHNOLOGY

BST – COMPUTER STUDIES 

THIRD TERM  

WEEK 2

PRIMARY 4

THEME –  BASIC CONCEPTS OF INFORMATION TECHNOLOGY 

PREVIOUS LESSON – Computer Studies (Information Technology) Primary 4 (Basic 4) and Second Term Examination Computer Studies Primary 4 (Basic 4)

 

TOPIC – DATA PROCESSING 

LEARNING AREA

1. Introduction

2. Meaning of Data Processing

3. Types of Data Processing

4. Uses of Data Processing

5. Lesson Evaluation and Weekly Assessment (Test)

LEARNING OBJECTIVES 

By the end of the lesson, most pupils should have attained the following objectives –

1. explain the meaning of data processing.

2. state types of data processing.

ENTRY BEHAVIOUR

The pupils can define data as information.

INSTRUCTIONAL MATERIALS

The teacher will teach the lesson with the aid of:

1. Functional computer systems and other devices.

2. A programmer

METHOD OF TEACHING

Choose a suitable and appropriate methods for the lessons.

Note – Irrespective of choosing methods of teaching, always introduce an activities that will arouse pupil’s interest or lead them to the lessons. 

REFERENCE MATERIALS

1. Scheme of Work

2. 9 – Years Basic Education Curriculum

3. Course Book

4. All Relevant Material

5. Online Information

CONTENT OF THE LESSON 

LESSON 1 – INTRODUCTION 

Computer receives, processes data to produce meaningful information.

Data is a raw fact and figure that needs to process to get their exact meaning.

The process is known as data processing.

MEANING OF DATA PROCESSING 

Data processing is the process that convert data into information by the computers or any other electronic devices.

The process is automated that runs on computers and other information systems.

Data processing coverts raw data collected, filtered, sorted, processed, analyzed, stored, and then produced usable and desired form.

DATA PROCESSING CIRCLE/PROCESS

DATA COLLECTION

(Source Document)

⇓⇔⇑

INPUT

(Data)

⇓ ⇑

PROCESSING

⇓ ⇑

OUTPUT

(Information)

⇓ ⇑

STORAGE

(Save Documents)

⇓⇔⇑

Chart sources, googlechart.com

LESSON 2 – TYPES OF DATA PROCESSING

The types of data processing are as follows:

1. Batch Processing

2. Real – time Processing

3. Online Processing

4. Multiprocessing

5. Time-sharing

DEFINITION WITH APPROPRIATE EXAMPLES 

1. BATCH PROCESSING

Batch data processing is the type of data processing that collect and process large volume of data all at once.

For examples,

• Payroll

• Line item invoices

• Supply chain

• Transactions of credit cards

• Generation of bills

• Processing of input and output in the operating system, etc.

2. REAL – TIME PROCESSING 

Real – time data processing is the type of data processing that collect and process within seconds when the input is given.

For examples,

• ATMs

• Air traffic control

• Anti-lock braking systems in your car, etc.

 

3. ONLINE PROCESSING 

Online data processing is the types of data processing that collect and process automatic as soon as data becomes available.

A good example of online processing is bar code scanning.

 

4. MULTIPROCESSING 

Multiprocessing is the type of data processing that is capable of multitask at a time or simultaneously.

It executes and processes more than one data at the same time

A good example of multiprocessing is weather forecasting

5. TIME – SHARING 

Time sharing data processing is the type of data processing that allocates resources and data in time to several computer users.

 

LESSON 3 REVISION AND WEEKLY ASSESSMENT (TEST) 

As stated in performance objectives or lesson evaluation. 

PRESENTATION

To deliver the lesson, the teacher adopts the following steps:

1. To introduce the lesson, the teacher revises the previous lesson. Based on this, he/she asks the pupils some questions;

2. Teacher organizes pupils in groups or pairs depending on the size of the class.

3. Teacher gives each of the group or pair mental sum.

4. Teacher also gives the same mental sum with simple device such calculator.

Pupil’s Activities – Perform mental sums with or without any simple device.

5. Teacher asks pupils to compare the result and differentiate between the sums.

Pupil’s Activities – Differentiate between manual and electronic data processing.

6. Teacher listen to the pupils and uses their responses to introduce the lesson.

Pupil’s Activities – Pay attention to the lesson introduction to understand the concept of data processing.

7. Teacher explains the meaning and types of data processing.

Pupil’s Activities – Explain the meaning and types of data processing.

8. Teacher summarizes the lesson on the board with appropriate lesson evaluation.

Pupil’s Activities – Participate actively in the summary of the lesson by responding correctly to the lesson evaluation and write as instructed.

CONCLUSION

To conclude the lesson for the week, the teacher revises the entire lesson and links it to the following week’s lesson.

NEXT LESSON

Methods of Data Processing | Uses of Data Processing Primary 4 (Basic 4) Term 3 Week 3 Information Technology (Computer Studies)

LESSON EVALUATION 

Teacher asks pupils to:

1. explain the meaning of data processing.

2. state 5 types of data processing.

3. explain the following:

• Batch Processing
• Real – time Processing
• Online Processing
• Multiprocessing
• Time-sharing

WORKBOOK WEEKLY

ASSESSMENT (TEST)

1. ________ is the process that convert data into information by the computer.

A. Data format

B. Data processing

C. Data management

2. ________ is automated that runs on computers and other information systems.

A. Data management

B. Data processing

C. Data formate

3. Data processing ________ raw data collected, filtered, sorted, processed, analyzed, stored, and then produced usable and desired form.

A. manage

B. save

C. convert

4. ________ is the type of data processing that collect and process large volume of data all at once.

A. Real time processing

B. Online processing

C. Batch processing

5. ________ is the type of data processing that collect and process within seconds when the input is given.

A. Real time processing

B. Online processing

C. Batch processing

6. ________ is the types of data processing that collect and process automatic as soon as data becomes available.

A. Real time processing

B. Online processing

C. Batch processing

7. ________ is the type of data processing that is capable of multitask at a time or simultaneously.

A. Data processing

B. Multiprocessing

C. Time processing

8. ________ is the type of data processing that allocates resources and data in time to several computer users.

A. Data processing

B. Multiprocessing

C. Time processing

 

9. Barcode is a good example of ________.

A. Real time processing

B. Online processing

C. Batch processing

10. A good example of ________ is weather forecasting.

A. Data processing

B. Multiprocessing

C. Time processing

11. ________ executes and processes more than one data at the same time.

A. Data processing

B. Multiprocessing

C. Time processing

12. ATMs and air traffic control are good examples of ________.

A. Data processing

B. Multiprocessing

C. Real time processing

13. Payroll and supply chain are examples of ________.

A. Real time processing

B. Online processing

C. Batch processing

State 5 types of data processing.

14. ________________

15. ________________

16. ________________

17. ________________

18. The device used for data processing is called ________.

A. computer or any other electronic device

B. Automated Teller Machine

C. Information technology

19. What is the purpose of data processing!?

A. To produce useless information.

B. To produce anyhow information.

C. To produce meaningful information.

20. Draw the data processing circle.