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대학생 신체활동에서 지각된 사회적 지지 및 심리적 행복감 : 기본적 심리욕구와 신체적 자기효능감의 매개효과
진우(Chen Yu),서연희(Seo, Yeon-Hee) 한국체육과학회 2021 한국체육과학회지 Vol.30 No.5
The purpose of this research is to investigate the structural relationships among college students" perceived social support, basic psychological needs, physical self-efficacy and psychological well-being, and to explore the ways to improve the psychological well-being of college students. To this end, a questionnaire survey will be conducted among Chinese college students. Finally, 356 valid questionnaires were statistically processed, and SPSS 23.0 and AMOS 23.0 were used for statistical analysis. The results are as follows. First, the social support perceived by college students has a significant impact on basic psychological needs. Second, the social support perceived by college students has a significant impact on physical self-efficacy. Third, the social support perceived by college students has a significant impact on psychological well-being. Fourth, the structural equation model support the mediating effects of basic psychological needs. Fifth, the structural equation model support the mediating effects of physical self-efficacy. The result of this research is demonstrated positive direct and indirect relationships between social support, basic psychological needs, physical self-efficacy and psychological well-being.
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정평강 ( Pyung Kang Jung ),진우 ( Yu Chen ),김중복 ( Jung Bog Kim ) 한국현장과학교육학회 2021 현장과학교육 Vol.15 No.2
이 연구에서는 광혈량 측정기(PPG) 회로를 통한 맥박신호 측정 실험을 개발하였다. 오피 앰프를 제외한 모든 소자들은 아두이노 키트에서 저렴하게 구할 수 있는 포토다이오드와 포토레지스터를 감광센서로 이용하였으며, 축전기와 저항을 이용한 패시브 대역 통과 필터 회로와 오피앰프를 사용한 액티브 대역 통과 필터를 제작하여 증폭된 신호를 측정할 수 있었다. 광센서의 기능과 PPG 회로의 원리를 이해하며 생물과 물리를 융합하여 학습한 지식을 학교 실험 상황에서 적용할 수 있도록 개발하였다. In this study, a heartbeat pulse signal measurement experiment was developed through a photoplethysmography(PPG) circuit. All devices except the op-amp used a photodiode and photoresistor, which can be obtained inexpensively from the Arduino kit, and amplified signals were measured using an active band pass filter manufactured with a passive band pass filter circuit using capacitors and resistors and an op-amp. It was developed to understand the function of the optical sensor and the principle of the PPG circuit, and to apply the knowledge learned by fusion of biology and physics in a school experiment.
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AI 분류 모델을 활용한 초등 AI·과학 융합 교육프로그램 개발
조영생(Young Saeng Cho),진우(Yu Chen),김중복(Jung Bog Kim) 한국교원대학교 뇌기반교육연구소 2021 Brain, Digital, & Learning Vol.11 No.2
The purpose of this study is to design an artificial intelligence classification model using an AI education platform, and an AI·science convergence program that can be applied to elementary education with the AI classification model. First, an AI classification model was created that has been trained with image data of four representative rock types in the elementary science curriculum. With a recognition rate of 89.1% for the rock samples, it can be fully utilized in the classroom. Based on it, a six-hour-program was developed for elemontary school education. This program was developed based on the 2015 Science Curriculum and the artificial intelligence area of the Standard Model of Next-generation Software Education, and was reviewed by three elementary science education experts and three software education experts to ensure feasibility. The program is easy to be applied to classrooms and will meet the expectations of improving students’ science core competencies and artificial intelligence performance expectation on the Standard Model of Next-generation Software Education.
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