Sparklabs Learning
ClassesSearchPrintable packs
Back to JSS 2 First Term
Full packLearner notesTeacher plansCurriculum onlyInclude all weeks

Sparklabs Learning / Digital Technology

JSS 2 First Term

Week 9: Data, Information and Data Protection

School
Creative Brains Academy
Subject
Digital Technology
Pack
Curriculum only
Prepared
7 November 2026

Week index

  1. 01Review and Classification of Computers
  2. 02Computer System: Hardware, Software and Peopleware
  3. 03Operating Systems and File Management
  4. 04Computer Networks
  5. 05Network Components and Topologies
  6. 06Internet, Web and Online Services
  7. 07Cloud Computing and Digital Storage
  8. 08Cybersecurity and Online Safety
  9. 09Data, Information and Data Protection
  10. 10Spreadsheets and Presentations
  11. 11Revision
  12. 12Examination

Week 9 / First Term

Data, Information and Data Protection

Monday 2 November 2026 to Friday 6 November 2026

Curriculum outline

Lesson objectives

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

  1. Distinguish raw data from information and explain why context matters.
  2. State four principles of data protection such as minimisation and consent.
  3. Classify learner information as sensitive and non-sensitive.
  4. Apply the four data-protection principles to a sample dataset.
  5. State three rights learners have over their own data.

Key vocabulary

  • Raw data: facts taken straight from a source without interpretation.
  • Information: processed data made meaningful by context.
  • Context: the circumstances that give data meaning.
  • Data protection principle: a rule governing how data may be handled.
  • Minimisation: collecting only data strictly necessary.
  • Consent: permission granted by the data owner.
  • Sensitive data: data about health, location or financial status.
  • Rights: legal entitlements holders have over their own data.

Common misconceptions

  • "Raw data and information are interchangeable." Raw data needs interpretation to become information.
  • "More data collected is always safer." Excess data increases risk rather than reducing it.
  • "Consent means just ticking a box." Consent must be informed and freely given.

Teacher activities

  1. Starter: hold up a list of scores and a cleaned averages list and ask which is information.
  2. Define raw data and information by contrasting them with an example each.
  3. Name four data-protection principles and explain each briefly.
  4. Model classifying learner information into sensitive and non-sensitive categories.
  5. Apply the four principles to a sample dataset on the board.
  6. Close with the exit question and a five-item recall quiz.

Student activities

  1. Answer the starter and explain why context turns data into information.
  2. Name four data-protection principles with one example each.
  3. Classify learner information into sensitive and non-sensitive groups.
  4. Apply the four principles to a sample dataset and note the outcome.
  5. State three rights learners have over their own data.
  6. Complete the five-item recall quiz and mark their own answers.

Practical / learning evidence

A raw-data-versus-information worksheet, a four-principle application worksheet and a three-right learner-rights sheet. Submit all three for marking.

Resources and preparation

Sample datasets, printed application templates and a rights-reference card. Offline route: paper versions, no device needed. Warn learners not to process real learner information in any task.

Assessment for learning

Inspect the data worksheet for correct raw versus information separation. Mark the application worksheet for sensible application of all four principles. Check the rights sheet for three concrete entitlements. Flag any learner who thinks more data is safer.

Inclusion and homework

Provide sample datasets preclassified as raw and processed for learners who need scaffolding. Allow oral completion of the principles worksheet. Extend confident learners with five principles. Homework: name one right learners have over their own data and state why it matters.

Sparklabs Learning / JSS 2 First Term / Curriculum only

Lesson content is provided for classroom planning. Adapt timings and tasks to the approved school calendar and available devices.

Sparklabs Learning

Digital Technology lesson notes and teaching plans for JSS 1 to SS 3.

Curriculum

Open educational resources for JSS 1 to SS 3 Digital Technology.

Quick links

Search the curriculumBrowse classesPrintable term packs

Academic session 2026 / 2027