在科技及網路技術發展下，科技輔助教學發展出一種不同的教育學習模式，學生可透過科技的運用建立自主學習樣態。老師亦可以搭配科技輔助教學來檢視學生學習情況並給予適當教學指引來改善整體學生學習情況。本研究以大學電子實驗課程為例，嘗試結合深度學習運算技術建立一機器視覺輔助教學工具，用來幫助同學對於基礎電子電路實驗建立教學指引。透過技術輔導教學工具設計導入用來快速檢核同學在電子電路實驗中常犯的錯誤進行檢核並給予輔助，縮短傳統電子課程實驗中需要依賴老師或助教介入檢核時間，讓同學可快速根據輔助系統自我檢核學習並獲得學習成效改善。

With the development of deep learn technology and Internet technology, a different educational learning model has been developed called technology-assisted instruction (TAI). Students can establish self-regulated learning style through TAI technology. Teachers can also review student learning and give appropriate teaching guidelines to improve overall student learning with TAI technology. This research tries to combine deep learning computing technology to establish a machine vision-assisted teaching tool at electronic experiment courses. This tool is used to help students establish teaching guidelines for basic electronic circuit experiments. It is used to quickly check the mistakes that students often make in the electronic circuit experiment and provide assistance, shortening the time required to rely on the teacher or assistant to intervene in the inspection. Through the research results, students can quickly self-regulated learning according to the auxiliary system and obtain improvement in learning effectiveness.