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Bee-Bot Algorithms

Science • 60 • 20 students • Created with AI following Aligned with Australian Curriculum (F-10)

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Science
60
20 students
29 July 2026

Teaching Instructions

Create a Kindergarten lesson plan aligned with the NSW Science Syllabus integrating Bee-Bots technology. The lesson focuses on introducing Bee-Bots to both teacher and students as a new technology, with problem-solving using Bee-Bots and understanding algorithms. Include differentiation strategies for students with varying abilities for each lesson part. Provide diagnostic and formative assessment opportunities. Emphasize how students can use algorithms to solve problems with Bee-Bots.

Overview

Students are introduced to Bee-Bots as a new technology in Science and learn that solving problems can be done by planning step-by-step instructions (algorithms). They will use Bee-Bots to test and improve their algorithms to reach a goal on a simple classroom grid.

Learning intentions

  • Students will describe what Bee-Bots do and how people control them.
  • Students will create and follow a simple algorithm of steps to make a Bee-Bot move.
  • Students will test an algorithm and explain what worked and what needs changing.
  • Students will identify a problem-solving strategy: try, check, and improve.

Success criteria

  • I can give Bee-Bot steps using “first, next, then” language.
  • I can build an algorithm that moves my Bee-Bot to the correct spot.
  • I can check my result and say what I will change to improve it.
  • I can work safely and responsibly with Bee-Bots and floor mats.

Curriculum links

  • SC4-WS-07: Students identify problem-solving strategies and propose solutions (try/check/improve with Bee-Bots).
  • Data science 1 (problem-solving with data from testing): students use observations from tests to refine steps.
  • Science skills: developing simple models of “instructions” (algorithms) to explain how outcomes happen.

Lesson structure (60 minutes)

  1. 0–8 min · Hook and idea. Teacher uses the introduction slides to show a short “Bee-Bot not working” clip or image sequence: the Bee-Bot ends in the wrong place, then the steps change and it reaches the goal. Teacher asks, “What do you think is the Bee-Bot’s ‘instructions’?” Students turn-and-talk, then one or two groups share.

  2. 8–15 min · Introduce Bee-Bots and safety. Teacher demonstrates Bee-Bot buttons and places on the mat, using the introduction slides for key rules (hands off the mat unless placing, careful floor space, one Bee-Bot at a time). Students practise by holding still while the teacher “commands” one step at a time; they chant “first, next, then” as each move happens.

  3. 15–25 min · Teach algorithms (step-by-step). Teacher models a simple algorithm on the grid: “Move forward 2 steps, turn right, move forward 1 step.” Teacher runs it on the mat while the introduction slides highlights the steps in order. Students use fingers (1–2–3) to “trace” the steps before watching the Bee-Bot follow them.

  4. 25–40 min · Main task: reach the goal. Teacher divides class into groups of 3–4 and assigns one goal spot per group on a floor grid mat. Teacher distributes the Bee-Bot algorithm worksheet. Students:

  • Draw or place 3 “command cards” (Forward, Turn, Forward) to make an algorithm.
  • Test the algorithm with the Bee-Bot.
  • Check the result and add a revision arrow if needed (try/check/improve). Diagnostic: Teacher circulates with a checklist (can the child sequence steps and explain changes?). Formative prompt questions: “What was your first step?”, “Where did it end?”, “What will you change next time?”
  1. 40–52 min · Guided problem-solving round. Teacher revisits the introduction slides to model solving a common issue: “We got close but missed the goal—why?” Teacher gives a structured choice: “Change the number of steps forward” or “Change the direction turn.” Students repeat with a new goal spot, this time using teacher sentence starters on the board (“First…, Next…, Then…, I will change… because…”). Formative assessment: groups share one improvement they made and one reason.

  2. 52–60 min · Plenary and exit check. Teacher uses the introduction slides for a quick “Algorithm gallery” question: “Show with your fingers the steps your Bee-Bot used.” Students complete a quick exit check orally or with quick thumbs: “Did your algorithm work? What did you change?” Teacher records key observations for next lesson grouping/support.

Resources

  • the introduction slides (hook images/sequence, Bee-Bot safety rules, algorithm modelling visuals, plenary prompts)
  • the Bee-Bot algorithm worksheet (simple sequencing and reflection, space to draw steps)
  • Bee-Bots and charging base
  • Floor grid mats (large enough for safe navigation)
  • Goal cards (different target spots)
  • “Command cards” for Forward/Turn (optional, but recommended for scaffolding)
  • Timer (optional for turn-taking)
  • Teacher checklist for diagnostic/formative notes

Assessment

  • Diagnostic (during Step 1–3): observe children’s early ideas about “instructions” and their ability to use “first/next/then”.
  • Formative (during Step 4–5): teacher checklist + targeted questions about what changed and why; check if algorithms are sequenced and tested.
  • Exit check (Step 6): oral “what did you change?” plus thumbs to indicate understanding of algorithms and problem-solving.

Differentiation

  • Support:
  • Provide sentence starters (“First…, Next…, Then…”) and a visual sequence strip on the mat.
  • Use command cards so students can match steps instead of writing.
  • Offer a “starter algorithm” template on the Bee-Bot algorithm worksheet (e.g., Forward, Turn, Forward) to complete.
  • For students needing extra help:
  • Shorten the algorithm to 2–3 steps and use a closer goal spot.
  • Assign roles within the group: Driver (presses), Planner (orders cards), Checker (looks for where it ends).
  • Extension:
  • Challenge students to improve accuracy: “Make it land exactly on the goal spot. What changed?”
  • Ask students to create an alternative algorithm with different steps that still reaches the goal.
  • EAL/SEN considerations:
  • Encourage gesture-based sequencing (pointing order on the strip).
  • Keep language consistent (“try, check, improve”) and model with one example multiple times.

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