Objective: Explain an algorithm as ordered steps and run an unplugged activity where children put instructions in the correct order.

Objective: Teach children to break a larger classroom task into smaller, manageable sub-tasks.

Objective: Introduce debugging — finding, testing and fixing an error — in an emotionally safe, playful way.

Objective: Adapt an unplugged computational-thinking activity so every learner can take part, and submit one activity plan.

Objective: Facilitate pattern games across shapes, colours, sounds, movements and numbers, with an accessible non-drag alternative.

Objective: Teach the Observe → Predict → Check → Revise cycle using repeated patterns.

Objective: Show, with child-safe examples, how too few examples or coincidences can produce a wrong or unfair rule.

Objective: Design a pattern-recognition game with separate Classes 1–2 and Classes 3–5 versions and individual, pair and whole-class options.

Objective: Define data in child-friendly terms using safe, non-personal examples like weather, leaves and classroom objects.

Objective: Facilitate sorting by one and by multiple attributes, and show why category choices matter.

Objective: Help children recognise correct vs incorrect labels, missing examples and ambiguous categories, and why clean data matters.

Objective: Apply firm privacy rules — never entering student personal data into public AI tools — and design a safe, non-personal sorting activity.

Objective: Use a child-safe story to discuss fairness, who might be left out, and who should review a decision.

Objective: Teach that AI can give confident but incorrect answers, and that important information must be verified with a trusted adult.

Objective: Distinguish AI-generated from real images and teach respect for creators, permission and attribution.

Objective: Review stories, examples and images for stereotypes and exclusion, and create a responsible ethics story with a discussion guide.

Objective: Use a seven-question decision framework to judge whether an AI demonstration is educationally justified and safe.

Objective: Write a simple, controlled teacher prompt (role, task, learner age, context, constraints, format, safety, review) using only fictional inputs.

Objective: Review AI-generated content with the ACCEPT framework — Accuracy, Child appropriateness, Cultural inclusion, Equity/bias, Privacy, Teacher judgement.

Objective: Plan and document one safe, reviewed AI demonstration with fictional inputs, an ACCEPT review, an edit log and an offline alternative.

Objective: Explain the course purpose, teacher supervision, privacy practices and that children use no unsupervised public AI accounts.

Objective: Respond calmly and accurately to common parent concerns about AI, dependence, data, chatting, accuracy and screen time.

Objective: Communicate with parents in plain, translation-ready, jargon-free language with accessible formats for varied literacy levels.

Objective: Develop safe, screen-free home activities families can do without any AI account or device, and submit a parent information note.

Objective: Design a readable, accessible handout for young learners: large type, short instructions, visual cues, low-ink and a clear answer key.

Objective: Provide every major activity with Classes 1–2 and 3–5 versions, support and extension, and individual/pair, no-device/one-device options.

Objective: Use varied formative-assessment methods for young learners — not only written quizzes — including observation, oral explanation, sorting, drawing and exit tickets.

Objective: Plan a four-week AI-literacy sequence (awareness, patterns, data, ethics/demonstrations) with objectives, activities, assessment, accessibility, privacy, parent communication and reflection.