月球車探測機械人校園實戰課程Lunar Rover Exploration Robot
一部送到學校時仍然是一箱零件的月球車探測機械人。八堂課之內,學生親手組裝與校正、量度地形並寫成可驗收的任務規格、用自然語言把行為寫成指令,最後讓它走完一條校園巡邏路線並公開示範。The rover arrives at your school as a box of parts. Over eight lessons students assemble and calibrate it, measure the ground and write a testable task specification, turn behaviour into instructions in plain language, then run a full campus patrol route and demonstrate it in public.
對象Who it's for
一部月球車、八堂課、一班學生。課程把「量度問題、寫規格、測試、記錄失敗、再修正」變成學生親手走一次的工程流程,同時回應學校對 STEAM 課程、創科專題研習與 AI 素養活動的期望。One rover, eight lessons, one class. Students walk the full engineering loop by hand: measure the problem, write the specification, test, record the failure, fix it. It answers what schools expect from STEAM, innovation projects and AI literacy activities.
學校Schools
到校進行的機械人實戰課程,一班一部月球車探測機械人。機械人、備用零件與地形用具由我們自備,學校毋須添置硬件,只需提供課室與一個可臨時封閉的空間;課程可寫進學校發展計劃,並配合「智啟學教」及 QEF 撥款要求。An instructor-led robotics course delivered on your premises, one lunar rover per class. We bring the rover, the spare parts and the terrain kit, so the school buys no hardware, and you provide a classroom plus a space that can be temporarily closed off. The course can be written into your school development plan and fits EDB AI-in-education and QEF funding.
學生Students
F.1–F.6(13 歲或以上,18 歲以下需家長同意)。無需任何編程、機械或 AI 經驗,導師由零開始;分組輪流上場,每組每堂都有實機操控時間。F.1–F.6 (age 13+, parental consent under 18). No coding, mechanical or AI background needed, our instructors start from zero. Teams rotate onto the machine, so every team gets hands-on time in every lesson.
四個階段,八堂課Four stages, eight lessons
由一箱零件到一條走得完的巡邏路線。每個階段兩堂課,每個階段都有一件離場成果。From a box of parts to a patrol route that finishes. Two lessons per stage, and every stage leaves something behind.
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由零件砌起Build it from parts
六個車輪、搖臂懸掛與相機桅杆,由學生親手裝上,再校正到直行與轉向(第 1 至 2 堂)。Six wheels, the rocker-bogie suspension and the camera mast go on by hand, then the rover is calibrated until it tracks straight and turns (lessons 1 to 2).
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用 AI 寫規格與指令Write the spec and the instructions
把「想它為學校做甚麼」寫成可驗收的任務,再化成它執行的指令(第 3 至 4 堂)。Turn "what should it do for our school" into a task you can pass or fail, then into instructions the rover runs (lessons 3 to 4).
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感測地形、避開障礙Sense the terrain, avoid the obstacles
看懂它的感測極限,量度台階、斜坡與碎石,再教它怎樣決定(第 5 至 6 堂)。Learn where its sensing stops working, measure the step, the ramp and the gravel, then teach it how to decide (lessons 5 to 6).
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走完校園巡邏路線Run the whole campus patrol
反覆實測、記錄成功率,最後在校園公開示範(第 7 至 8 堂)。Test it again and again, record the success rate, then demonstrate it in public on campus (lessons 7 to 8).
八堂逐堂看Lesson by lesson
每堂 90 分鐘,每堂都有一件離場成果:可以由下一堂接住,也可以放進學生的學習記錄。Ninety minutes each, and every lesson leaves an artefact behind, something the next lesson builds on and the student's learning record can hold.
一箱零件的月球車A rover in a box of parts
認清這部機械人由甚麼組成、怎樣安全地與它共處,離場時每組一份能力與限制表,以及校園的第一張路線圖。Meet the machine: what it is made of and how to stay safe around it. Each team leaves with a capability-and-limit sheet and the first campus route map.
砌起與校正Assemble and calibrate
為甚麼懸掛決定一切?學生裝上搖臂與車輪,再把它校正到直行與轉向都準確。Why does the suspension decide everything? Students fit the rocker-bogie and the wheels, then calibrate the rover until it tracks straight and turns accurately.
量度地形,寫成規格Measure the ground, write the spec
「它應該做甚麼」要用一部機器可以被告知的語言寫出來。離場時一份附驗收條件的任務規格與已量度的路線。"What should it do" has to be written in words a machine can be held to. Teams leave with a task specification, its pass conditions and a measured route.
由流程到指令From flowchart to instructions
把一個行為畫成狀態機,再用自然語言把它寫成機械人真的會執行的指令。Draw a behaviour as a state machine, then write it out in plain language until the rover actually runs it.
它怎樣看地形How the rover sees terrain
它感測得到甚麼、又會在甚麼地方看漏?量度台階、斜坡與碎石,離場時一張標示風險區的障礙圖。What does it sense, and where does that sensing fail? Measure the step, the ramp and the gravel, and leave with a hazard map with its risk zones marked.
可靠度測試與修正Reliability testing and correction
以重複測試建立可靠度:學生先量度成功率,記錄失敗、修正後再量度,比較前後差異。Reliability comes from repetition: teams measure the success rate, record the failures, correct them, then measure again and compare.
把巡邏任務串起來Assemble the patrol task
把八堂學過的東西串成一條完整路線,連啟動方式一起寫清楚:一個沒有上過課的人也能啟動它。Join everything from the eight lessons into one route, and document the start trigger so a stranger can use it without ever having taken the class.
示範與報告Demonstrate and report
在校園公開示範,用 3 分鐘講清楚它怎樣運作,並完成總結報告,記錄八堂的成果。Demonstrate it in public on campus, explain in three minutes how it works, and complete the written report on what the eight lessons achieved.
學生會學會甚麼What students will learn
- 一部由學生組裝並校正好的月球車探測機械人,連操作指引A lunar rover that students assembled and calibrated themselves, with its operating guide
- 一套可複製的工程方法:量度問題、寫規格、測試、記錄失敗、再修正,可帶到其他科目的校園專題A repeatable engineering method: measure the problem, write the spec, test, record the failure, fix it, and carry it into other subjects' campus projects
- 工程日誌與測試數據(成功率前後對照),可直接放進學校需要的學習記錄與報告An engineering log and test data with the success rate before and after, ready for the learning records and reports your school needs
- 3 分鐘任務簡報與升學作品集頁,可用於 JUPAS/OEA/SLP,並獲發官方認證結業證書A 3-minute mission briefing and a portfolio page for JUPAS / OEA / SLP, plus an official course-completion certificate
課程形式How it works
到校進行,導師指導,8 堂 × 1.5 小時。時間表與收費請聯絡查詢,我們會一併附上校本課程建議書。Delivered on campus, instructor-led, 8 × 1.5 hours. Contact us for the schedule and fees, and we will send the school proposal with it.
配合「智啟學教」與 QEF 撥款Fits EDB AI-in-education and QEF funding
教育局「智啟學教」撥款要求的六大項目,本課程可配合。同一課程亦可配合優質教育基金(QEF)公帑資助學校專項撥款計劃申請,並可按學校需要安排校園公開示範。The course fits all six requirements of the EDB's AI-in-education funding, and can also be submitted under a QEF publicly funded school project. Campus demonstrations can be arranged to suit your school.
納入學校發展計劃Into the school development plan
課程目標、八堂流程與學生成果可直接寫進貴校的發展計劃與年度計劃。The course aims, the eight lessons and the student artefacts can be written straight into your development and annual plans.
於不同科目實踐 AI 輔助教學AI across subjects
科學、物理、數學、設計與科技、ICT 都可以接入同一部月球車與同一套工程方法。Science, physics, mathematics, design and technology, and ICT can all plug into the same rover and the same engineering method.
發展教學例子Teaching exemplars
每堂都有可複製的教學流程、學生作品與評分表,成為校內可重複使用的教學例子。Every lesson comes with a repeatable teaching flow, student work and a marking scheme, so it becomes a teaching exemplar your school can reuse.
舉行經驗分享會與公開課Sharing sessions and open classes
我們提供示範與教材,支援校內的經驗分享會、公開課與校園公開示範。We supply the demonstration and the materials behind your in-school sharing session, open class and public campus demo.
提升學生 AI 素養活動Student AI literacy
學生以自然語言指揮一部真實機械人完成任務,親身實踐 AI 素養,而不是只看示範。Students direct a real robot in plain language to finish a task, practising AI literacy first hand rather than watching a demonstration.
中期與總結報告Interim and final reports
工程日誌、成功率前後對照、任務規格與學生示範影片,可直接放進中期與總結報告。The engineering log, the success rate before and after, the task specification and the student demo footage drop straight into your interim and final reports.
為學校而設的到校課程On campus, for schools
本課程為到校實戰課程,配合 STEAM 課程或創科專題研習,並配合教育局「智啟學教」及 QEF 撥款要求。同一部機械人與同一套工程方法,也可以延伸成實驗室夜間巡查、開放日導覽機械人與校園安全巡查等校內任務。我們已與 50+ 間學校合作、完成 1,000+ 堂 AI 校園課程,並提供免費到校示範與現成課程建議書。This course runs on campus for STEAM or innovation project weeks, aligned to the EDB's 智啟學教 and QEF funding. The same machine and the same engineering method extend into night patrols of the laboratories, Open Day guide robots and campus safety inspections. We've worked with 50+ schools and delivered 1,000+ AI campus lessons, and we offer a free on-site demo plus a ready-made proposal.
常見問題FAQ
這個課程適合甚麼年級?需要編程或機械人經驗嗎?What year levels is it for, and does anyone need coding or robotics experience?
學校需要購買機械人或其他硬件嗎?Does the school need to buy a robot or any hardware?
一班有多少人?一部機械人夠用嗎?How many students per class, with only one robot?
八堂的內容是甚麼?What are the eight lessons?
學校需要準備甚麼場地與設備?What venue and equipment does the school need to provide?
學生最後學會甚麼?What will students have learned?
可以配合「智啟學教」或 QEF 撥款嗎?Can it be funded through 智啟學教 or QEF?
如何查詢時間表、收費及索取建議書?How do we check the schedule and fees, or get the proposal?
關於 EdcosysAbout Edcosys
香港科學園出身的 AI 教育公司,教學生與企業團隊用自然語言指揮 AI,造出真正能用的工具。An AI education company from Hong Kong Science Park, teaching students and teams to direct AI in plain language and build real tools.
公司資料Company
- Edcosys Limited(雲智未來)
- 商業登記號碼BRN 76579528
- 成立於Incorporated 20 May 2024
- 香港科學園 AI 初創團隊AI startup from HK Science Park
合作夥伴Partners
- Orbis HK
- HKPC Academy
- ETH EdTech Hub
聯絡我們Contact
- hello@edcosys.com
- +852 9098 1850
- 香港中環昭隆街 9 號歐銀中心 7B 室7B, Eubank Plaza, 9 Chiu Lung Street, Central, Hong Kong
索取校本課程建議書Request the school proposal
留下聯絡方式,我們會回覆時間表、收費與校本課程建議書;學校亦可預約免費到校示範。Leave your details and we'll reply with the schedule, the fees and the school proposal. Schools can also book a free on-site demo.