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Drone-based Interdisciplinary Learning & Entrepreneurship Education
Curriculum Mapping & Cross-curricular Integration: Drone-based Interdisciplinary STEM Learning
Richard Chung-yiu Yeung, Science Teacher, Carmel Holy Word Secondary School, Hong Kong
Project Website: https://sites.google.com/chw.edu.hk/drone-project-2018
The interdisciplinary programme comprised two phases, namely Knowledge Developing Phase and Engineering Problem-solving Phase.
The 36-hour Phase One covered six experiential learning modules designed to achieve three levels of objectives based on Bloom’s taxonomy of cognitive domains:
1. Remembering and Understanding
(a) Drone Science and Technology
(b) Programmed Flight
2. Applying and Analyzing
(c) Drones, Geometry and Trigonometry
(d) Coding and Engineering Design
3. Evaluating and Creating
(e) Drones and Environmental Science
(f) Future Application of Drones
To tie in with various interdisciplinary themes, alumni working in related fields (e.g. aerophysics, surveying and valuation, stream water analysis, market strategising, etc.) were invited to share career insights, thus bridging the gap between classroom learning and workplace experience.
As a summative assessment by the end of Phase One, students applied the knowledge acquired and creativity to present entrepreneurship proposals on benefitting the society with drone technology. The proposals should leverage on the advantages of technology while striking a balance between innovation, feasibility and safety. Students gave video presentations to illustrate their concepts and took questions from a panel of guest judges. Proposed uses of drone technology ran the gamut from dispatching drugs to inspecting cross-strait bridges and suspension rails, cleaning and inspecting glass curtain walls, conducting tree surveys, monitoring tree protection measures, bird conservation, etc.
The 12-hour Phase Two consisted of a series of engineering tasks during which students developed a drone-assisted water sampling system to collect water samples from Clear Water Bay and Lam Tsuen River. Measuring water samples’ hardness, total dissolved solids and nitrate nitrogen content would then reveal the extent of pollution in the waterbodies concerned.
The project was selected to the “Global Spotlight of Employability” by HundrED, the Finnish innovative educational organization, and honoured with the NXTEducator Global Educational Innovation Award by Sayling Wen Cultural & Educational Foundation in 2019.