物聯網程式設計應用運算思維於日常生活之研究

NCUIR > College of Electrical Engineering & Computer Science > Graduate Institute of Network Learning Technology > Electronic Thesis & Dissertation > Item 987654321/84215

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Title:	物聯網程式設計應用運算思維於日常生活之研究
Authors:	張振豪;Chang, Zhen-Hao
Contributors:	網路學習科技研究所
Keywords:	物聯網;運算思維;日常生活應用;學習成效;Internet of Things;computational thinking;daily life applications;learning effectiveness
Date:	2020-07-28
Issue Date:	2020-09-02 18:30:24 (UTC+8)
Publisher:	國立中央大學
Abstract:	運算思維越來越重要，已逐漸普及至教育現場，然而如何有效活用運算思維在日常生活上，是一個非常值得探索的研究議題。現在物聯網的技術與其應用已經越來越成熟，如何應用物聯網結合程式設計幫助學生運算思維活用在日常生活上，是一個重要的課題，不僅可以引起學生的學習興趣與動機，同時也有可能幫助提升學生運算思維的能力與經驗。本篇論文主要研究目的在研究教導學生使用物聯網套件LinkIt7697來訓練學生程式設計的思考邏輯，活用運算思維到日常生活中。在實驗中給學生透過課堂範例進行學習，熟悉程式編寫的規則之後，再引導學生將物聯網及運算思維融入日常生活，並嘗試寫出程式碼，雖然實驗組的前後測分析結果並沒有達到顯著差異，但觀察課堂表現分析、課堂互動及作業完成度較高的學生，在成績表現上也較有顯著性差異，整體來看，我們提出結合物聯網與程式設計仍可提升運算思維的學習表現與興趣。因此，活化運算思維到日常生活的學習活動值得深入思考與設計。因為持續結合物聯網與運算思維，進行有趣的日常生活應用，能幫助提升其運算思維的能力，並延續學生的學習興趣與動機，達成活用運算思維目的。 ;Computational thinking becomes more and more important, and it has been widely promoted in educational areas. However, how to use computational thinking effectively in daily life is worth our further study. Due to advanced technology development, how to teach students to use computational thinking in daily life is an important topic. It can not only arouse learning interest and motivation, but also improve computational thinking ability and experience. The main research purpose of this study is to facilitate students′ thinking logic and computational thinking to their daily life with IOT(Internet of Things) devices, LinkIt7697. In the experiment, students learned and practiced programming first. Then we guided them to integrate IOT devices and computational thinking into their daily life applications with programming. Although there was not significant difference in the posttest. However, those students with more interaction in class and higher accomplishment rate of assignments perform significantly better in their posttest. Overall, the proposed mechanism in this study can improve the performance of computational thinking and learning interest a lot. It is worth further investigating how to keep students′ learning interests and motivations in activity design so that they can continue to apply IOT with computational thinking in daily life. This can help improve their computational thinking ability and stimulate their long term learning motivation using computational thinking.
Appears in Collections:	[Graduate Institute of Network Learning Technology] Electronic Thesis & Dissertation

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