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CDIOT物聯網工程教育模式可行性分析

Feasibility Analysis of Conceiving, Designing, Implementing, and Operating Internet-of-Things Engineering Education Model

摘要


本文引進CDIO工程教育模式,教導學生從構思、設計、實現、和運作來將物聯網技術導入產品或服務,稱此方法為CDIOT物聯網工程教育模式。共有四個步驟:一、用5W2H以心智圖來構思產品/服務的關鍵數據;二、用設計方法找出「條件/動作」的服務流程;三、實現產品/服務的物聯網系統;四、運作產品/服務的商業模式。其內容包括:CDIO工程教育模式、物聯網工程教育模式、教學方法與實作、和討論與發表。本文以兩個實作範例:魚菜共生物聯網系統以及智慧工藝──淨(物之靜),來實踐CDIOT教學方法,有系統地學習將物聯網技術導入產品或服務。

並列摘要


Despite the emergence of Industry 4.0 and Social 5.0, smart living technology remains one of the most vital elements for developing smart cities and towns. The internet of things (IoT) is also used to construct basic networks of smart residential zones. Using IoT to design new teaching methods for students and to implement smart products or services is vital for those studying information technology, electronics, business management, or livelihood. This study proposed an engineering education model based on conceiving, designing, implementing, and operating (CDIO) and taught students to introduce IoT technology into products or services. The CDIO engineering teaching model was combined with the IoT to create the CDIO - IoT engineering education model. The CDIOT teaching method consists of 4 steps: (1) mentally mapping key data of the product or service using 5W2H, (2) identifying the service flow of conditions and actions using the design method, (3) implementing the IoT system for products and services, and (4) creating a business model to operate products and services. The content of this paper includes the CDIO engineering education model, CDIOT engineering education model, CDIOT teaching methods and implementation, discussion, and presentation. This paper is based on a 3-hour course taught in 2 schools as well as 2 practical examples: IoT-based aquaponics and smart crafts. The CDIOT education model enabled students to learn systematically how to introduce IoT technologies into products or services using CDIO.

參考文獻


王吟方(2017)。智慧工藝:超智慧社會的環境智慧。建築師。07
沈揚庭、戴沛吟(2016)。以CDIO精神發展創客育成模式之課程設計與評估。高等教育研究紀要。5,81-98。
林子淵、林正敏、李永謨、蘇博豐()。
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被引用紀錄


陳殷哲、楊幼威(2022)。工業4.0下之人力資源專業職能探究品質學報29(4),267-291。https://doi.org/10.6220/joq.202208_29(4).0002

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