• Journal of Industrial Convergence
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• v.19 no.6
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• pp.123-129
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• 2021

This Study is to identify factors that affect the interaction between professors and university students and their satisfaction with non-face-to-face lectures. The subjects were 348 university student who attended from October 5 to October 23, 2020. The statistics program was SPSS win 22.o. Among the expected benefits of non-face-to-face classes, the temporal benefit was 3.69 points, the expected benefit of the learning effect was 3.46 points, and the technical familiarity was 3.47 points. Satisfaction with non-face-to-face classes was found to be 3.58 points. Factors affecting the satisfaction of lectures in non-face-to-face classes were expected benefits of learning effect, university satisfaction, technical familiarity, expected benefits over time, and the number of non-face-to-face classes desired for the next semester. Learning effect The higher the expected benefit, the higher the university satisfaction, the higher the technical familiarity, the higher the expected temporal benefit, the higher the number of non-face-to-face classes desired for the next semester, the higher the satisfaction with the non-face-to-face class lectures. Therefore, it was confirmed that the role of the instructor was important in the interaction between the instructor and university students in the non-face-to-face class and the satisfaction of the lecture.

• Journal of the Korea Convergence Society
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• v.12 no.11
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• pp.257-263
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• 2021

This study analyzed the factors affecting online class satisfaction and tried to use it as basic data for more effective class management. The survey was collected on 208 students majoring in dental laboratory technology in Jeonbuk and Chungbuk. The data were analyzed by reliability analysis, descriptive stastistics, compare means(t-test, one-way ANOVA), Pearson's correlation coefficient and stepwies multiple regression analysis(SPSS program). The analysis results showed that expected benefit of time was 3.87, expected benefit of learning was 3.30, technology familiarity was 3.40, and class satisfaction was 3.21. The most influential factor in class satisfaction was technology familiarity. In order to increase the online class satisfaction, it is necessary to build a learning environment to improve the ability to learning tools used in classes and technology familiarity with the online class system.