• Journal of Digital Convergence
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• v.19 no.12
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• pp.51-62
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• 2021

This study developed the factors capable of systematic/comprehensive evaluation of the task performance in order to strengthen the performance management of the professional career personnel invitation program (PCPIP). To this end, a performance evaluation framework was developed by analyzing existing project evaluation studies based on boundary theory and Kirkpatrick's four-level evaluation model. Afterwords, through two Delphi surveys, evaluation factors that can measure performance in terms of individual and invitation institutions of PCP were derived and validated. With this procedure, five evaluation factors were finally selected: adaptability, connectivity, clarity, compatibility, and expandability. This study has implications suggesting a performance evaluation factors capable of hybrid quantitative/qualitative evaluation for the performance management of PCPIP operated by National Research Foundation of Korea Research since 1994.

• The Journal of the Convergence on Culture Technology
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• v.8 no.1
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• pp.105-113
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• 2022

This study was attempted to provide basic data for preparing a learning strategy for effective clinical practice education by examining the effects of empathy, communication ability, and resilience on adaptation to clinical practice for nursing students. Participants in this study were 244 nursing students from 3 universities in B city. Data analysis was performed using SPSS 21.0 program with real number, percentage, mean, standard deviation, t-test, ANOVA, Pearson correlation coefficient, and multiple regression analysis. The subjects' empathy ability was 3.49±.44 points, communication ability 3.86±.85 points, resilience 3.63±.56 points, and clinical practice adaptation 3.63±.52 points. Factors affecting adaptation to clinical practice were empathy, communication ability, and resilience, and the explanation power was 39.9%. Through the results of this study, it is necessary to prepare an educational program to improve empathy, communication ability and resilience that affect the adaptation to clinical practice of nursing students.

• The Journal of the Convergence on Culture Technology
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• v.9 no.4
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• pp.309-314
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• 2023

This study examines the development and limitations of current artificial intelligence (AI) music composition programs. AI music composition programs have progressed significantly owing to deep learning technology. However, they possess limitations pertaining to the creative aspects of music. In this study, we collect, compare, and analyze information on existing AI-based music composition programs and explore their technical orientation, musical concept, and drawbacks to delineate future directions for AI music composition programs. Furthermore, this study emphasizes the importance of developing AI music composition programs that create "personalized" music, aligning with the era of personalization. Ultimately, for AI-based composition programs, it is critical to extensively research how music, as an output, can touch the listeners and implement appropriate changes. By doing so, AI-based music composition programs are expected to form a new structure in and advance the music industry.

• The Journal of the Korea institute of electronic communication sciences
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• v.14 no.6
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• pp.1249-1256
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• 2019

In this paper, we propose a new algorithm to remove acoustic feedback and noise in hearing aids. Instead of using the conventional FIR structure, this algorithm is a deep learning algorithm using neural network adaptive prediction filter to improve the feedback and noise reduction performance. The feedback canceller first removes the feedback signal from the microphone signal and then removes the noise using the Wiener filter technique. Noise elimination is to estimate the speech from the speech signal containing noise using the linear prediction model according to the periodicity of the speech signal. In order to ensure stable convergence of two adaptive systems in a loop, coefficient updates of the feedback canceller and noise canceller are separated and converged using the residual error signal generated after the cancellation. In order to verify the performance of the feedback and noise canceller proposed in this study, a simulation program was written and simulated. Experimental results show that the proposed deep learning algorithm improves the signal to feedback ratio(: SFR) of about 10 dB in the feedback canceller and the signal to noise ratio enhancement(: SNRE) of about 3 dB in the noise canceller than the conventional FIR structure.

• Journal of Digital Convergence
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• v.19 no.9
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• pp.33-42
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• 2021

Despite the importance of science education in an informal environment, the reality is that there is a lack of trend analysis research on 'Informal Science Learning (ISL)' and its effects. Therefore, the purpose of this paper is to find out the educational effects of ISL and how to use it, and to provide guidelines for future ISL research directions. This study classifies specific ISL-related papers published from 2010 to 2019 and compares them with each element of GLO used to measure the effectiveness of informal education. The fit of the analyzed data was checked for each part through SPSS and Chi-Square. In conclusion, it was found that researchers are using 'ISL' to pursue 'Knowledge and Understanding' and 'Attitudes and Values' among the five performance indicators of 'GLO'. On the other hand, 'Skills' and 'Enjoyment, Inspiration and Creativity' appear to have the least expectations, so supplementation is required in these areas in the future. In addition, this study intends to suggest a direction for informal science education-related program development and future research to various education workers.

• Journal of Industrial Convergence
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• v.21 no.12
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• pp.141-151
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• 2023

This study aimed to investigate the influence of learning flow, career decision-making self-efficacy, and major satisfaction on career preparation behaviors among nursing students. Data were collected by questionnaire from 15th September 2022 to 14th October 2022, from 208 nursing students at universities in provinces the G and J. And the data answered to the questionnaire were analyzed by descriptive analysis, t-test, One-way ANOVA, Pearson's correlation, and Stepwise Regression Analysis. As a result of this study, career preparation behaviors was analysed based on learning flow (r=.515, p<.001), career decision-making self-efficacy (r=.681, p<.001) and major satisfaction (r=.621, p<.001). The results of the multiple regression analysis showed that the influential factors on career preparation behaviour were career decision-making self-efficacy (𝛽=.446, p<.001), major satisfaction (𝛽=.285, p<.001), third grade (𝛽=.157, p=.001), learning flow (𝛽=.133, p=.018), and second grade (𝛽=.106, p=.038), and the explanatory power of the career preparation behavior was 57.0%. Therefore, there is a need to provide customised education through a career programme that takes into account the career path chosen by nursing students.

• Journal of the Korea Convergence Society
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• v.12 no.8
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• pp.1-11
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• 2021

The purpose of this study was to analyze the trends and characteristics of 'stress urinary incontinence' research through word frequency analysis, and their relationships were modeled using word embedding. Abstract data of 9,868 papers containing abstracts in PubMed's MEDLINE were extracted using a Python program. Then, through frequency analysis, 10 keywords were selected according to the high frequency. The similarity of words related to keywords was analyzed by Word2Vec machine learning algorithm. The locations and distances of words were visualized using the t-SNE technique, and the groups were classified and analyzed. The number of studies related to stress urinary incontinence has increased rapidly since the 1980s. The keywords used most frequently in the abstract of the paper were 'woman', 'urethra', and 'surgery'. Through Word2Vec modeling, words such as 'female', 'urge', and 'symptom' were among the words that showed the highest relevance to the keywords in the study on stress urinary incontinence. In addition, through the t-SNE technique, keywords and related words could be classified into three groups focusing on symptoms, anatomical characteristics, and surgical interventions of stress urinary incontinence. This study is the first to examine trends in stress urinary incontinence-related studies using the keyword frequency analysis and word embedding of the abstract. The results of this study can be used as a basis for future researchers to select the subject and direction of the research field related to stress urinary incontinence.

• Journal of Convergence for Information Technology
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• v.8 no.1
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• pp.207-214
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• 2018

The purpose of this study is to compare the educational needs of public officials and private employees for health and welfare in order to improve education program. Data were collected from 2,290 public officials and 1,991 private employees and were analyzed using frequency analysis and independent sample t-test. Private employees recognized that education and training are more enough than public officials. In addition, private employees took the gathering training classes more than public officials. Private employees reported that they are more satisfied than public officials with regard to leader consideration, peers' will of participation and institutional conditions. However, public officials reported that they are more satisfied than private employee officials with regard to the degree of sharing of information and education for new policies. Public officials preferred three or two days of training, but private employees preferred one or two days. Both public officials and private employees preferred gathering training classes and blended learning as an effective education type. Based on this research, invigoration of health and welfare education and the management of its plan were discussed.

• Journal of the Korea Convergence Society
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• v.9 no.10
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• pp.355-362
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• 2018

This study aims to examine the relationship between physical education class activity of youth, smartphone dependence and school life adaptation. The data set of Korean Children and Youth Panel Survey(KCYPS) by National Youth Policy Institute was reanalyzed for this study. The subjects of this study were 2,351 second grade middle school students from 2011. The data were coded with the use of the statistics program on Windows, SPSS 23.0. To analyse the data, descriptive analysis, reliability analysis, one-way ANOVA and regression analysis were employed. The findings of this research are as follows. First, the difference between the activity hours of youth physical education classes and the reliance on smartphones is less dependent on smartphones as they participate enthusiastically in physical education classes. Second, the difference of physical education class activity time and school life adaptation among adolescents was more positive for school life adaptation as learning activity, peer relationship and teacher relationship were more active. third, the dependence of youth on smartphones has a positive effect on learning activities and school rules as the reliance on smartphones is low.

• Journal of Digital Convergence
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• v.15 no.7
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• pp.285-295
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• 2017

This study was performed to examine the effects of the peer mentoring learning-based program, named preclinical objective structured clinical examination (OSCE), on self-confidence on core basic nursing skills and critical thinking disposition of nursing students. A nonequivalent control group pretest-posttest design was used. The participants were 68 sophomore nursing students of a university in J province. The research period was conducted from February 2016 to February 2017. As a result, OSCE increased self-confidence on core basic nursing skills and critical thinking disposition, compared to the control group. Post self-confidence on core basic nursing skills had positive correlations with post critical thinking. Therefore, we suggest that based on this study findings, further research be done to compare and analyze effectiveness of various peer mentoring learning-based OSCE programs.