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Class 6 · Artificial Intelligence
Chapter 2 Teaching Pack
Basic Data Concepts — everything needed to teach the chapter, ready to print.
Where this chapter sits
Class 6 carries 20 hours of Artificial Intelligence across four chapters. This is the second chapter: it turns the everyday AI examples from Chapter 1 into the data those systems need.
| # | Chapter | Learning focus | Suggested |
|---|---|---|---|
| 1 | Introduction to AI and Everyday Examples | Meaning of AI, familiar uses, AI and automation, ways machines learn | 6 periods |
| 2 | Basic Data Concepts | Raw data and information, data types, sources, collection, organisation and representation | 5 periods |
| 3 | Simple Pattern Recognition and Decision Making | Finding patterns, using observations and reaching decisions | 5 periods |
| 4 | Ethics and Digital Responsibility | Responsible use, privacy, safety, passwords and digital footprints | 4 periods |
Lesson plan · 5 periods
Period 1 — Raw facts become useful information
Write these six facts on the board without a heading: 7, 9, 6, 8, 9, 7. Ask, “What do these numbers mean?” Students cannot know. Add “number of library books returned each day” and the day labels. Now they can compare days and make a statement.
Period 2 — Five forms, including the awkward cases
Build five board columns: numerical, text, image, video, sound. Give obvious examples first, then a scanned letter and a video call. Do not force either into one box. A scan is stored as an image but carries text; a video call usually contains moving images and sound. The purpose of classification decides which part matters.
Students often classify any digits as numerical. A bus route code such as “6A” is usually a label, not a quantity: adding or averaging it would be meaningless.
Period 3 — Collect, check, then organise
Compare four collection routes: asking people, observing or counting, consulting a reliable record, and measuring with an instrument. For each, ask what could go wrong. A leading survey question, a missed count, an old record, or a wrongly read scale can all weaken the data.
Give groups twelve unsorted slips showing a pupil name and number of library visits. Have them create a two-column table, then sort it once by name and once by visits. The “best” order depends on whether the teacher wants a particular pupil or the most frequent visitor.
Period 4 — Table, bar chart or pictogram?
Use one small dataset in all three forms. A table is strongest for looking up exact values or keeping several details. A bar chart makes category comparisons quick. A pictogram gives a compact visual count, but only if its key is read and every symbol is counted correctly.
Insist on titles, labels and a consistent scale. Ask before anyone draws: “What question must this display answer?” Representation is a choice, not decoration.
Period 5 — From class survey to evidence
Run the unplugged activity in Section 05. The class collects its own data, keeps the raw response slips, combines tallies into a table, and selects a representation. Finish with the worksheet’s last question; it reveals whether students can choose by purpose rather than repeat definitions.
Worksheet
Name: Class & Section: Date:
A · Start with the idea
B · Classify the data
Write numerical, text, image, video or sound. For Q10–11, more than one answer may be reasonable; explain which part you mean.
C · Organise and read
Use this table for Q13–14.
| Equipment chosen at games period | Students |
|---|---|
| Football | 14 |
| Skipping rope | 9 |
| Carrom | 6 |
| Chess | 11 |
D · Read the figures
E · Choose by purpose
Answer key & teaching notes
| Q | Answer | What to watch for |
|---|---|---|
| 1 | recorded facts or observations; meaning made by organising or interpreting them | Accept clear wording, not a memorised sentence. Students must show the difference. |
| 2 | (c) | 28°C and 29°C are individual readings; the highest-reading statement comes from comparing all four. |
| 3 | (a) | The other options are conclusions. Raw data may have labels, but it has not yet been interpreted. |
| 4 | (b) | A suitable instrument gives a measurement rather than an opinion. |
| 5 | It makes facts easier to find, compare, check or interpret. | Any one valid benefit is enough. “It looks neat” alone does not show understanding. |
| 6 | Numerical | Seconds are measured quantities. |
| 7 | Text | “6A” is a label. Its digit does not make it a measurable quantity. |
| 8 | Image | A still photograph is image data. |
| 9 | Sound | The recording carries speech as audio. |
| 10 | Image or text, with a reason | Accept image when classifying how the scan is stored; accept text when the student is classifying the written content. Do not accept an unexplained label. |
| 11 | Video and/or sound, with a reason | A call normally carries moving images and voices. Accept either component if named and justified; best answers name both. |
| 12 | A two-column table pairing Meera–2, Dev–4, Sara–1 and Imran–3 | Headings should identify student and books returned. The stated benefit must match the table, such as quick lookup or comparison. |
| 13 | 14 − 6 = 8 students | Students sometimes subtract skipping rope (9) because it is the adjacent row. Make them follow the category labels. |
| 14 | Four bars at 14, 9, 6 and 11 | Check the title, labels, equal bar widths, common baseline and a consistent numbered scale. A beautiful chart with a changing scale is incorrect. |
| 15 | Group D; 9 − 5 = 4 pages | Both the group and difference are required. The values are printed above the bars but must agree with the scale. |
| 16 | 10 students; 20 students altogether | Science has five symbols and there are ten symbols in all. Each symbol represents two students. |
| 17 | Red: 2 symbols; Blue: 3; Green: 1 | Require the title and key. Six drawn symbols in total represent twelve badges. |
| 18 | Table | A table keeps several exact details in a row for each student and allows lookup. “Tables are clearer” needs the exact-details reason. |
| 19 | Use a bar chart for most popular; keep a table for Noor’s exact response. | One detailed table can technically answer both, but it is slow for comparing totals. Full credit requires matching each representation to a question and explaining the trade-off. |
Unplugged activity · “Our Class Data Desk”
Period 5 · 35 minutes · Designed for 40+ students · No devices or internet.
What you need
Scrap-paper slips, pencils, the blackboard and chalk. Draw a tally table with four reading-corner choices: adventure, nature, science, biography. Add an “other” row so nobody is forced into an inaccurate answer.
How it runs
- Ask one neutral question: “Which kind of book would you choose from the reading corner today?” Each student writes one choice on a slip. The slips are the class’s raw data.
- Divide the class into eight groups of about five. Each group sorts its slips, counts each category twice, and records a subtotal. One student keeps the slips; one checks the count.
- A runner from each group brings its subtotal to the board. Add the eight subtotals into a whole-class table. Check that the grand total equals the number of responses. If it does not, stop and find the recording error.
- Assign groups different displays: three make a labelled table, three make a bar chart, and two make a pictogram with one symbol representing one student. Every group writes one statement that its display makes easy to answer.
- Place the displays together. Ask which is fastest for finding the most popular choice and which is safest for reading an exact total. Keep the raw slips beside the final table.
Project brief & rubric
The project checks the full path from a question to evidence: collect, organise, represent and justify.
| Criterion | 4 — Exceeds | 3 — Meets | 2 — Approaching | 1 — Beginning |
|---|---|---|---|---|
| Collection & checking | 20+ clear responses; totals independently checked; raw sheet retained | 20+ usable responses; total checked; raw sheet retained | Some unclear or missing responses; check incomplete | Too little usable data or no raw record |
| Organisation | Accurate table with precise headings and a useful order | Accurate, labelled table | Minor errors or unclear labels | Facts remain unsorted or totals are unreliable |
| Representation | Accurate display with title, labels and flawless scale or key | Accurate display with title, labels and working scale or key | Meaning is visible but one feature or value is wrong | Display cannot be read reliably |
| Choice & information | Choice is justified by the question; two precise statements add insight | Valid reason for the choice; two supported statements | Vague reason or only one supported statement | No justification or claims do not follow from the data |
Suggested total: 16 marks. Keep the raw sheet with the finished display so the totals can be checked.
Evidence record
Keep one completed record per class for this chapter, with a small sample of marked student work.
| Field | Record |
|---|---|
| School | |
| Class & section | |
| Chapter taught | AI Ch. 2 — Basic Data Concepts |
| Periods used | |
| Dates | |
| Teacher | |
| Activity conducted | Our Class Data Desk (survey, tally and representation) |
| Assessment used | Project — “A Small Data Story”, rubric-scored |
| Students assessed | |
| Samples retained | ☐ Raw survey sheet ☐ 3 marked projects ☐ Completed worksheets ☐ Photograph of the work (no children or names visible), if school policy permits |
| Common misconception noticed | |
| Next teaching step | |
| Teacher’s signature |