Understanding Data and Information Computer Studies JSS 1 First Term Lesson Notes Week 5

Subject: Computer Studies
Class: JSS 1
Term: First Term
Week: 5
Age: 11 years
Topic: Data and Information
Sub-topic: Meaning, Sources, Examples, and Qualities of Good Information
Duration: 60 minutes

Behavioural Objectives:
By the end of the lesson, students should be able to:

  1. Define data and information.
  2. Identify sources and provide examples of data and information.
  3. Describe the qualities of good information, including accuracy, comprehensiveness, relevance, and timeliness.

Keywords: Data, Information, Sources, Qualities, Accurate, Comprehensive, Relevant, Timely

Set Induction:
Start by asking students what types of information they use daily and how they determine if it’s useful or accurate. Discuss their responses to introduce the concept of data and information.

Entry Behaviour:
Students should have some basic understanding of what information is and might have used various forms of data in their daily lives.

Learning Resources and Materials:

  • Whiteboard and markers
  • Projector or computer with presentation slides
  • Handouts with examples and definitions

Building Background/Connection to Prior Knowledge:
Connect the new topic to students’ experiences with collecting and using information for school projects or other activities.

Embedded Core Skills:

  • Analytical thinking
  • Ability to evaluate information
  • Understanding data sources and quality

Learning Materials:

  • Textbook or handouts on data and information
  • Visual aids such as charts or graphs

Reference Books:

  • Lagos State Scheme of Work for Computer Studies

Instructional Materials:

  • Projector
  • Whiteboard
  • Markers
  • Handouts with examples

Content

I. Meaning, Sources, and Examples of Data and Information:

  1. Meaning of Data:
    Data refers to raw facts or figures that have not yet been processed or organized. Examples include numbers, dates, and names.
  2. Meaning of Information:
    Information is data that has been processed or organized in a way that is meaningful and useful. It provides context and answers questions such as “why” and “how.”
  3. Sources of Data:
    • Surveys
    • Experiments
    • Observations
    • Transactions (e.g., sales data)
  4. Sources of Information:
    • Reports
    • Articles
    • Databases
    • News
  5. Examples:
    • Data: List of numbers from a survey
    • Information: Summary of survey results showing trends and patterns

II. Qualities of Good Information:

  1. Accurate: Information must be correct and free from errors.
  2. Comprehensive: Information should cover all necessary aspects and details.
  3. Meaningful: Information should be relevant and useful for decision-making.
  4. Relevant: Information should be applicable to the context or problem at hand.
  5. Timely: Information must be up-to-date and provided at the right time.

Evaluation

Fill-in-the-Blank Questions:

  1. Data refers to __________ facts or figures that have not yet been processed.
    a) Raw
    b) Processed
    c) Organized
    d) Useful
  2. __________ is data that has been processed and is meaningful.
    a) Data
    b) Information
    c) Facts
    d) Figures
  3. One source of data could be a __________.
    a) Newspaper
    b) Survey
    c) Magazine
    d) Article
  4. A report is an example of a source of __________.
    a) Data
    b) Figure
    c) Information
    d) Raw Fact
  5. Good information should be __________ to be useful.
    a) Old
    b) Irrelevant
    c) Accurate
    d) Misleading
  6. Comprehensive information means it is __________.
    a) Incomplete
    b) Brief
    c) Detailed
    d) Outdated
  7. __________ information is up-to-date and relevant to current needs.
    a) Timely
    b) Old
    c) Inaccurate
    d) Irrelevant
  8. If information answers the question “why,” it is considered __________.
    a) Meaningful
    b) Incomplete
    c) Old
    d) Irrelevant
  9. An article in a newspaper is an example of a source of __________.
    a) Data
    b) Transaction
    c) Information
    d) Survey
  10. Data from a transaction is considered __________.
    a) Processed
    b) Organized
    c) Raw
    d) Useful
  11. __________ information is free from errors.
    a) Comprehensive
    b) Accurate
    c) Old
    d) Misleading
  12. Information that is applicable to the context is called __________.
    a) Meaningful
    b) Old
    c) Timely
    d) Comprehensive
  13. To be useful, information should be __________ and relevant.
    a) Outdated
    b) Comprehensive
    c) Incomplete
    d) Brief
  14. Survey results are an example of __________.
    a) Information
    b) Processed Data
    c) Raw Data
    d) News
  15. If information provides details about all necessary aspects, it is __________.
    a) Inaccurate
    b) Comprehensive
    c) Brief
    d) Outdated

Class Activity Discussion

FAQs with Answers:

  1. Q: What is the difference between data and information?
    A: Data is raw facts or figures, while information is data that has been processed and organized to be meaningful and useful.
  2. Q: Where can you find sources of data?
    A: Data can be found from surveys, experiments, observations, and transactions.
  3. Q: What makes information accurate?
    A: Information is accurate when it is correct and free from errors.
  4. Q: How can you ensure information is comprehensive?
    A: Information is comprehensive when it covers all necessary details and aspects of the topic.
  5. Q: Why is timeliness important for information?
    A: Timeliness ensures that the information is current and relevant to the present situation.
  6. Q: Can you give an example of meaningful information?
    A: A summary of survey results that shows trends and patterns is an example of meaningful information.
  7. Q: What does it mean for information to be relevant?
    A: Relevant information is applicable to the specific context or problem at hand.
  8. Q: How do you use data from a survey?
    A: Data from a survey can be processed to create reports that provide insights and inform decisions.
  9. Q: Why is it important for information to be suitable?
    A: Suitable information fits the needs of the user and is appropriate for the intended purpose.
  10. Q: What is an example of a source of information?
    A: An example of a source of information is a news article or a report.
  11. Q: How do you evaluate the quality of information?
    A: Evaluate information based on its accuracy, comprehensiveness, relevance, and timeliness.
  12. Q: Why is comprehensive information important?
    A: Comprehensive information provides a complete understanding of the topic or issue.
  13. Q: What does it mean if information is outdated?
    A: Outdated information is no longer current and may not be useful for current needs.
  14. Q: What is an example of a data source?
    A: An example of a data source is a transaction record or a survey dataset.
  15. Q: How can you ensure information is meaningful?
    A: Ensure information is meaningful by making sure it provides context and answers important questions.

Presentation

Step 1: The teacher revises the previous topic on the generations of computers.

Step 2: The teacher introduces the new topic on data and information, explaining definitions, sources, and qualities.

Step 3: The teacher allows students to discuss and ask questions, providing corrections and additional explanations as needed.

Teacher’s Activities:

  • Present definitions and examples of data and information.
  • Discuss the qualities of good information.
  • Lead class discussions and answer questions.

Learners’ Activities:

  • Observe and interact with visual aids.
  • Complete fill-in-the-blank questions and participate in class discussions.
  • Offer observations and ask questions.

Assessment (Evaluation Questions):

  1. Define data and information.
  2. Identify sources of data and information.
  3. Describe the qualities of good information.
  4. Provide examples of data and information.

Conclusion:
The teacher will review students’ responses, provide feedback, and ensure understanding of the concepts related to data and information.

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