• Journal of Digital Convergence
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• v.20 no.2
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• pp.499-509
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• 2022

This study was conducted to understand the effect of health assessment practical education on class participation, problem-solving process, academic self-efficacy, and academic achievement of nursing students. This study used a nonequivalent control group pretest-posttest design. The participants were 69 nursing university students located in C city. Data were collected on two separate occasions before and after the application of the program from February 2021 to July 2021. Data were analyzed by chi-square test, independent t-test, and ANCOVA using SPSS WIN 23.0. There were significant differences in class participation(F=15.003, p<.001), academic self-efficacy(F=13.288, p=.001) and academic achievement(F=19.755, p<.001) between the experimental group and the control group. In the problem-solving process, the experimental group was significantly higher than the control group in decision-making(F=6.948, p=.010), applying the solution(F=6.232, p=.015) and evaluation-reflection(F=5.364, p=.024). It is necessary to expand case-based learning to increase the problem-solving process, class participation, academic self-efficacy, and academic achievement of nursing students.

• Therapeutic Science for Rehabilitation
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• v.11 no.2
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• pp.77-91
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• 2022

Objective : This study aimed to assess the effects of occupation-based lifestyle intervention programs on older adults in the local community. Methods : Nine community-dwelling older individuals participated in this study using a one-group pre-post design. The occupation-based lifestyle intervention program consisted of 12 group sessions, and one individual session was conducted for seven weeks. Occupational balance, activity occupancy, activity participation, depression, health-related quality of life, and program satisfaction were assessed. Results : The average attendance rate of the nine participants was 10.11 (SD=1.36). Overall occupational balance (p=.012), activity participation status (p=.008), performance (p=.012), and satisfaction with activity participation (p=.008) were increased. Furthermore, the results showed changes in leisure time (p=.008) and rest time (p=.008). Finally, there were some improvements in the overall health-related quality of life (p=.034) and depression scores (p=.012). Conclusions : Occupation-based lifestyle intervention programs positively affected occupational balance, activity occupancy, activity participation, depression, and health-related quality of life in community-dwelling older adults. This research suggests promising benefits and feasibility of the program for community-dwelling older adults.

• Journal of Digital Convergence
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• v.20 no.2
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• pp.289-297
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• 2022

The purpose of this study was to investigate the perception of dental students based on their experiences of online classes after taking non-face-to-face education courses for all the school semesters in 2020. For the research method, an online survey was conducted on A survey was conducted on 161 dental students enrolled in A University. The analytical method was conducted through frequency analysis, correlation analysis, and multiple regression analysis. The survey analysis findings showed that the satisfaction of dental students' about the non-face-to-face education course was above 4.2, and the detailed items were in the order of the appropriateness of the attendance processing method, satisfaction with recorded video lectures, and the assessment method of the course grade. In the case of the factors that affect the satisfaction of non-face-to-face education courses, the learning system and assessment method were statistically significant. The online class type that is most preferred by the students is recorded video lectures, and the highest number of participants chose 21~30 minutes as the appropriate time for the class content. It is considered that the application of the online system will continue to be used together with face-to-face education courses in the education site and various university-level efforts like systematic support are required to achieve effective learning achievements. This study only investigated the non-face-to-face education operation conditions of A University, so it cannot be generalized to all universities, but it can be used as basic data to provide education curriculum design and supportive measures for the compatibility of face-to-face and non-face-to-face courses.

• The Journal of the Convergence on Culture Technology
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• v.8 no.3
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• pp.15-23
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• 2022

This study is a non-equivalent control group quasi-experimental design to test the effectiveness of educational programs on human tissue donation for nursing students to change the perception of human tissue donation. The subjects of the study were 75 nursing students located in U city, 38 in the experimental group and 37 in the control group. The data were analyzed using SPSS/WIN 23.0. The average age was 22.39±0.75 years old, women 84.2% and there was no difference in general characteristics and prior data between the two groups. Knowledge (F=-8.921, p<).001, Attitude (F=-5.414, p<).001, perception of death (F=-3.075, p=).004) showed a significant difference, and the educational intervention of nursing students developed to promote human tissue donation showed a positive effect on human tissue donation. When programs to be applied to educational institutions that train not only medical personnel but also experts in other fields must be developed, the establishment and stability of the human tissue donation culture will be solidified. It is also suggested that health care campaigns and education in public educational institutions should be conducted together.

• Journal of Industrial Convergence
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• v.20 no.5
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• pp.39-59
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• 2022

We analyze the perceptions and requirements of early childhood teachers for artificial intelligence(AI) education to develop an AI education program for 5-year-olds. As for the research methodology, we conducted a survey and an in-depth interview to extract the AI educational elements centering on the analysis stage, the first stage of the ADDIE model. The research result is that first, it is necessary to design a curriculum that combines the contents of early childhood education and AI education to be naturally accepted as AI education for 5-year-olds. Second, an evaluation tool for AI education that can showcase the teacher's reflection should be developed systematically. Third, it is necessary to support a play-centered AI education support and environment for early childhood teachers. Lastly, it is essential to establish a system that can be continuously operated in the field of early childhood education in consideration of AI education in the non-curricular curriculum. It is expected that in the future, a play-oriented AI education program for 5-year-olds will be developed to spread awareness of AI education for infants and present an AI education approach for each age and stage of learners.

• International journal of advanced smart convergence
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• v.11 no.1
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• pp.19-27
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• 2022

Across the world, 'housing' comprises a significant portion of wealth and assets. For this reason, fluctuations in real estate prices are highly sensitive issues to individual households. In Korea, housing prices have steadily increased over the years, and thus many Koreans view the real estate market as an effective channel for their investments. However, if one purchases a real estate property for the purpose of investing, then there are several risks involved when prices begin to fluctuate. The purpose of this study is to design a real estate price 'return rate' prediction model to help mitigate the risks involved with real estate investments and promote reasonable real estate purchases. Various approaches are explored to develop a model capable of predicting real estate prices based on an understanding of the immovability of the real estate market. This study employs the LSTM method, which is based on artificial intelligence and deep learning, to predict real estate prices and validate the model. LSTM networks are based on recurrent neural networks (RNN) but add cell states (which act as a type of conveyer belt) to the hidden states. LSTM networks are able to obtain cell states and hidden states in a recursive manner. Data on the actual trading prices of apartments in autonomous districts between January 2006 and December 2019 are collected from the Actual Trading Price Disclosure System of the Ministry of Land, Infrastructure and Transport (MOLIT). Additionally, basic data on apartments and commercial buildings are collected from the Public Data Portal and Seoul Metropolitan Government's data portal. The collected actual trading price data are scaled to monthly average trading amounts, and each data entry is pre-processed according to address to produce 168 data entries. An LSTM model for return rate prediction is prepared based on a time series dataset where the training period is set as April 2015~August 2017 (29 months), the validation period is set as September 2017~September 2018 (13 months), and the test period is set as December 2018~December 2019 (13 months). The results of the return rate prediction study are as follows. First, the model achieved a prediction similarity level of almost 76%. After collecting time series data and preparing the final prediction model, it was confirmed that 76% of models could be achieved. All in all, the results demonstrate the reliability of the LSTM-based model for return rate prediction.

• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.191-198
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• 2022

This study was to provide education on hand hygiene and personal protective equipment(PPE) to nursing students and to investigate the effects of knowledge, attitude, and self-efficacy. This was a single group, pre-post quasi-experimental design. This study was conducted from October 28 to November 30, 2021 using a structured questionnaire targeting 18 students in the 3rd year of college nursing. Data analyzed by descriptive statistics and paired t-test. As a result of the study, hand hygiene knowledge (t=3.33, p=.004) and PPE knowledge (t= -11.02, p<.001) significantly increased through hand hygiene and PPE education, and attitude toward personal protective equipment (t =-2.76, p=.013) and self-efficacy (t=-3.69, p=.002) all significantly increased. Therefore, based on the results of this study, it is considered necessary to develop a systematic and repetitive hand hygiene and personal protective equipment education program, and it will be used as basic data for program development.

• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.355-363
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• 2022

Purpose : The purpose of this study was to investigate the double mediating effect of ego-resilience and impulsivity in the effects of smartphone addiction on depression among office workers. Research design, data and methodology : The subjects of this study were office workers working in four cities: Seoul, Daejeon, Chungnam, and Chungbuk Province, and the total number of respondents was 286. Descriptive statistics, difference test (t-test, ANOVA), correlation analysis, and double-mediated effect analysis were used for statistics. Results : The results of this study are as follows. First, as a result of the difference analysis, there was no difference in depression according to the general characteristics of the subjects of this study, such as gender, age, marital status, and salary. Second, as a result of correlation analysis, smartphone addiction showed a negative correlation with ego-resilience, and a positive correlation with impulsivity and depression. Also, ego-resilience showed negative correlation with impulsivity and depression. Impulsivity showed a positive correlation with depression. Third, as a result of dual mediating effect analysis, it was found that ego-resilience and impulsivity played double-mediated role between smartphone addiction and depression. Conclusions : Based on the results of this study, theoretical measures centered on ego-resilience were discussed and presented in order to positively induce the decrease in impulsivity and depression due to smartphone addiction among office workers.

• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.801-806
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• 2022

In the modern era, the necessity of color capability in the digital era is the demand of the era, and research on improving color practice on the subdivided digital four areas that are not in the existing practice is needed. For digital majors who are difficult to solve in existing paint color practice, classes in digital color practice in four more specialized areas are needed, and the use of efficient artificial intelligence was studied for classes in digitized color and color sense. In this paper, we tried to show the expansion of the color practice area by suggesting digital color practice and color matching method based on Photoshop artificial intelligence and big data technology that existing color and color matching were practice that only CMYK could do. In addition, based on the color quantification data of individual users provided by the latest Adobe Sceney program artificial intelligence, the purpose of the practice was to improve learners' predictions of actual color combinations and random colors using filter effects. In conclusion, it is a study on the use of programs that eliminate ambiguity in the mixing process of existing paint practice, secure digital color details, and propose a practical method that can provide effective learning methods for beginners and intermediates to develop their senses through artificial intelligence support. The Adobe program practice method necessary for coloration and main color through theoretical consideration and improvement of teaching skills that are better than existing paint practice were presented.

• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.463-470
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• 2022

The purpose of this study was to identify the effects of online practicum based on action learning on self-directed learning ability, academic self-efficacy, and cooperation ability of nursing students. Similar experimental study of single group pre-post test design was used to investigate the effects of this online class. A total of 47 nursing students who were junior grade from one college participated in this study and self-administered questionnaire was used for data collection. Data were analyzed by frequencies, paired t test using the SPSS/Window 21.0 program. The result of this study showed that the improvement after online practicum based on action learning was significant in self-directed learning ability(t=3.832, p<.001), academic self-efficacy(t=4.258, p<.001), and cooperation ability(t=3.853, p<.001). These findings imply the value of online practicum based on action learning to enhance competency of nursing students. In the future, more studies should be conducted in the same group including control group and blended learning method using action learning to validate the effectiveness.