스마트 기기를 활용한 새로운 크로마토그래피 분석법 개발 및 적용
The Development and Application of New Chromatographic Methods Using Smart Devices
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초록
과학 수업에서의 스마트 기기의 활용은 학생들의 적극적인 참여와 자기 주도적 학습으로 변화시키는 등 긍정적인 변화를 가져왔다. 스마트 기기는 다가올 미래의 과학 수업에서 보편적으로 활용되는 수업 도구일 것이다. 그러므로 스마트 기기 활용을 통한 과학 탐구 및 실험 활동을 위해 학생들의 흥미를 유발하며 적극적인 자기 주도 학습을 끌어낼 수 있는 수업 모델을 개발해야 할 필요성이 있다. 이러한 스마트 교육을 위해 스마트 기기와 애플리케이션은 주된 역할을 한다. 한편 중학교 과학의 ‘혼합물 분리’ 단원에서 크로마토그래피는 실제 연구 분야에서 사용되고 있지 않은 종이 크로마토그래피를 주로 제시하고 있다. 이는 새로운 미래 사회를 준비하는 학생들에게는 적합하지 않은 방식일뿐더러 교육과정의 개정을 거치면서 현재는 이마저도 사라져 가는 실정이다. 크로마토그래피는 학생들의 진로 탐색을 위한 활동으로 충분히 제시할 수 있음에도 불구하고 크로마토그래피 부분을 삭제한 것은 납득이 되질 않는다. 실제 연구에서 활용되고 있는 TLC를 이용하면 가격도 저렴하고 쉽고 간단하게 교실 상황에서 사용할 수 있다는 장점이 있다. 본 연구에서는 스마트 기기를 활용하여 TLC 상에서 정성과 정량 분석을 동시에 할 수 있는 더 빠르고 간단한 새로운 분석법을 개발하였고 이를 통해 스마트 기기를 학습 활동에 접목하여 학생들의 적극적 참여와 작기 주도적 학습 효과를 높이며, 실제 학교 현장에서 효율적으로 적용할 수 있는 실질적인 방안으로 활용되길 기대한다.
Abstract
The use of smart devices in science classes has brought about positive changes, such as increased student participation and more self-directed learning. Smart devices are increasingly being used in science classes, creating a need to develop lesson models that can stimulate students' interest and encourage active, self-directed learning in scientific inquiry and experimental activities. In smart education, smart devices and applications play a major role. However, in the "Mixture Separation" section of middle school science, chromatography focuses mainly on paper chromatography, which is not currently used in the field of actual research. This approach is not well-suited for students preparing for a new future society, and it is becoming obsolete due to curriculum revisions. Although chromatography can be used as an activity for career exploration, removing it is not convincing. The advantage of using thin-layer chromatography (TLC), which is employed in actual research, is that it is inexpensive and easy to use in classroom settings. In this study, we have developed a new, faster, and simpler analysis method for TLC that uses smart devices for both qualitative and quantitative analysis. We hope this method will enhance student engagement and facilitate small-scale learning by integrating smart devices into learning activities, making it a practical tool for actual school settings.
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