• Journal of the Korea Convergence Society
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• v.9 no.10
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• pp.103-108
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• 2018

This study aims to investigate the Convergence effects of a class using action learning on 4C core competencies of college students. A survey was conducted before and after the action learning class with the same questionnaire for some dental hygiene students in Busan. The collected data were analyzed by using the paired t-test with SPSS 24.0 program. As a result of comparing communication ability, critical thinking propensity, creative problem-solving ability, and cooperative self-efficacy scores, the score of each area after the class was higher compared to before the class, and significant outcomes were shown in the sub-factors as well(p<0.001). In conclusion, it was found that the class using action learning affects the 4C core competencies required. It is urgent to change the teaching method to self-directed learning rather than knowledge-oriented learning.

• Journal of Digital Contents Society
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• v.19 no.2
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• pp.415-423
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• 2018

In recent years, Computer-based learning, such as machine learning and deep learning in the computer field, is attracting attention. They start learning from the lowest level and propagate the result to the highest level to calculate the final result. Research literature has shown that systematic learning and growth can yield good results. However, systematic models based on systematic models are hard to find, compared to various and extensive research attempts. To this end, this paper proposes the first TNT(Transitive Nested Triangle)model, which is a growth and fusion model that can be used in various aspects. This model can be said to be a recursive model in which each function formed through geometric forms an organic hierarchical relationship, and the result is used again as they grow and converge to the top. That is, it is an analytical method called 'Horizontal Sibling Merges and Upward Convergence'. This model is applicable to various aspects. In this study, we focus on explaining the TNT model.

• Journal of the Korea Convergence Society
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• v.10 no.11
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• pp.523-532
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• 2019

Metacognition is a core element for nurses' clinical competency as a result of the learner's development and evaluate goals and plans for problem solving. The study aimed to analyze factors related to metacognition among undergraduate nursing students. The 205 nursing students participated from August 15 to October 19, 2017 to measure metacognition, self-directed learning, grit, learning environment and learning style. Data were analyzed using descriptive statistics, t-test, ANOVA, Pearson correlation coefficient, and multiple regression with the SPSS/Win 22.0 program. Metacognition represented a positive correlation with self-directed learning, grit, learning environment. The self-directed learning and grit were significant factors on undergraduate nursing students' metacognition. As a result of this study, it is necessary to develop curriculum that can improve metacognition level by increasing self-directed learning ability and grit of undergraduate nursing student.

• Journal of Digital Convergence
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• v.13 no.10
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• pp.397-403
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• 2015

The purpose of this study is to identify factors affecting flow state of the cooperative learning on nursing students live in convergence era. Data was collected a total of six weeks to two nursing freshman class 93 people from April to June 2015. Data were analyzed using descriptive statistics, pearson's correlation coefficients and factors affecting the flow state was used for the multiple regression with the SPSS/WIN 18.0 program. Flow state of the cooperative learning was correlated with major satisfaction and learning satisfaction. The results of major satisfaction and learning satisfaction were significant predictors with 65.4% of the variance in flow state of the cooperative learning, learning satisfaction was confirmed by the affecting factor the flow state. This presents a basis for teaching method applied to maximize the flow state.

• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.889-897
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• 2023

This study attempted to examine how participation in a cooperative learning extracurricular program affects the improvement of college students' self-directed learning abilities. In order to operate a cooperative learning extracurricular program, students were recruited voluntarily through the school system. A total of 128 students were selected. They formed groups according to the number of participants and participated in the cooperative learning extracurricular program for 9 weeks. Before the program was implemented and after the program was terminated, a survey was conducted on the self-directed learning ability of participating students through a questionnaire. The effectiveness of the program was examined through pre-post tests of the experimental group. The results are as follow. First, the self-directed learning ability scores of students who participated in the cooperative learning extracurricular program significantly improved. Second, in order to closely analyze self-directed learning ability, the sub-elements of self-directed learning ability were examined, and the scores of self-awareness and learning strategy, which are sub-elements of self-directed learning ability, were found to have significantly increased. However, although scores for learning motivation and learning situations improved, the levels were not found to be statistically significant. Based on these results, we presented discussions for improving college students' self-directed learning ability and ways to revitalize cooperative learning in universities.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.05a
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• pp.524-527
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• 2022

본 연구에서는 머신러닝(Machine Learning, ML)과 딥러닝(Deep Learning, DL) 모델을 앙상블(Ensemble)하여 어떠한 주가 예측 방법이 우수한지에 대한 연구를 하고자 한다. 연구에 사용된 모델은 하이퍼파라미터(Hyperparameter) 조정을 통하여 최적의 결과를 출력한다. 앙상블 방법은 머신러닝과 딥러닝 모델의 앙상블, 머신러닝 모델의 앙상블, 딥러닝 모델의 앙상블이다. 세 가지 방법으로 얻은 결과를 평균 제곱근 오차(Root Mean Squared Error, RMSE)로 비교 분석하여 최적의 방법을 찾고자 한다. 제안한 방법은 주가 예측 연구의 시간과 비용을 절약하고, 최적 성능 모델 판별에 도움이 될 수 있다고 사료된다.

• Journal of Korean Elementary Science Education
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• v.39 no.2
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• pp.284-295
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• 2020

The purpose of this study is to explore the possibility of artificial intelligence convergence education (AICE) in elementary biological classification learning. First, the possibility of AICE was analyzed in the field of 2015 revised elementary life science curriculum. The artificial intelligence biological classification (AIBC) education program targeted plant life. The possibility of AICE in the elementary life science curriculum was suggested through the consultation process of three elementary science education experts. The AIBC education program was developed through the review process of elementary education experts. The results of this study are as follows. First, 8(32%) achievement standards were available for AICE in elementary life science. Second, 18(86%) of the 21 items reviewed by the experts for the AIBC education program developed in this study were positively evaluated. Third, in this study, through the analysis of the possibility of AIBC in the elementary life field and the review of the experts, the AIBC education program including teaching and learning models, strategies, and guidance was developed. The results of this study were based on the review of the experts, and as a follow-up study, applied research to elementary students is needed. It is also hoped that various studies on AICE will be conducted not only in the life field but also in science and other fields. Finally, we expect that the results of this study will be applied to bio-classification learning to help students improve classification capabilities and generate classification knowledge.

• Journal of the Korea Convergence Society
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• v.12 no.5
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• pp.393-403
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• 2021

This study examined the effect of the industrial nursing practical education program applying online collaborative learning on perceived motivation, problem-solving ability, and communication ability of nursing students in COVID-19 period. The study was carried out according a non-equivalent control group pretest-posttest design. The study subjects were 35 nursing college students from K City. Data collection was from October 19 to November 12, 2020. Collected data were analyzed using IBM SPSS 22.0 with the 𝑥² test, Fisher's exact test, independent t-test, Mann-Whitney U test. The experimental group had significantly different perceived motivation, and problem-solving ability in comparison to the control group. This suggests that the industrial nursing practical education program applying online collaborative learning in the COVID-19 period can be applied as a way to increase nursing students' perceived motivation, and problem-solving ability.

• Journal of the Korean Society of Industry Convergence
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• v.23 no.2_2
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• pp.191-198
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• 2020

The purpose of this study is to examine the impact of synchronous induction programs on new fire-training students' grits and learning outcomes. The research target selected 108 new firefighters from Fire & Marine School. 108 is composed of 54 experimental and control groups and isexecuted once a week, 60 minutes per session, and 10 sessions of synchronous inducement program.The research tools used grids to conduct pre- and post-test, and the mid-term and final-term tests were compared and analyzed. The data analysis was conducted using the SPS 22.0 program.The results showed that the motivational program showed statistically significant differences in the grids and had a significant impacton the final exam results of new firefighters. So, you have a passion for long-term goals and a passion for long-term goals. Research will need to be conducted continuously to raise the level of effort and provide fire-fighting school programs that can help with academic achievement.

• Journal of Convergence for Information Technology
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• v.9 no.2
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• pp.55-64
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• 2019

The purpose of this descriptive research is to get basic data for educational program after investigating convergent effect of psychological capital on learning satisfaction of nursing freshmen. Using SPSS 21, T-test, ANOVA, Pearson's correlation coefficient and hierarchical multiple regression of the 164 collected data were carried out. The mean scores of psychological capital and learning satisfaction were above the middle, and the 'hope' was the highest among subdomains of psychological capital. There was a positive correlation between psychological capital and learning satisfaction(r=.665, p<.001). School performance(${\beta}=.311$), school life satisfaction(${\beta}=.191$) and psychological capital(${\beta}=.522$) were the significant factors of learning satisfaction in hierarchical multiple regression(F=37.651, p=.004). The explanatory rate of variables on learning satisfaction was 57.4%. It is needed applying these results in developing learning satisfaction programs, but it isn't appropriate to generalize these results conducted on nursing freshmen in one university.