• Child Health Nursing Research
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• v.28 no.3
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• pp.167-175
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• 2022

Purpose: The present study aimed to develop and examine the effectiveness of a pediatric nursing competency-building program for nursing students. Methods: This was a quasi-experimental study with a nonequivalent control group pretest-posttest design conducted between October and December 2021. The participants included 40 nursing students (20 each in the experimental and control groups) at a university in a South Korean city. The pediatric nursing competency-building program integrated problem-based learning and simulation into clinical field practice. The experimental group participated in the program, while the control group did not. Data were analyzed using the 𝑥² test, the independent t-test, and repeated-measures analysis of variance. Results: Pediatric nursing competency and clinical performance showed a greater increase in the experimental group than in the control group. However, the change in problem-solving ability in the experimental group was not significantly different from that in the control group. Conclusion: The pediatric nursing competency-building program effectively improved students' pediatric nursing competency and clinical performance.

• Journal of the Korea Convergence Society
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• v.9 no.11
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• pp.509-517
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• 2018

The present study is a convergence study aimed at investigating the effects of the blended learning method on self-directed learning and learning satisfaction of nursing students. A nonequivalent control group was designed to conduct a pre-post test for this study. The participants were assigned to the experimental(n=70) or control group(n=68). Data was analyzed using ${\chi}^2$-test, independent t-tset, and ANCOVA. The results of this study showed that self-directed learning(F=4.122, p=.044), learning satisfaction (F=4.714, p=.032) were significantly higher in the experimental group with blended learning applied than in the control group that received lecture courses for the subject adult health nursing. In other words, this study found that the blended learning method, which was designed to enable students to learn given tasks on their own outside teaching-centered lectures, can enhance the learning ability of nursing students. The results of this study indicate the need to conduct repeated studies regarding blended learning in various subjects and to develop content considering self-directed learning and learning satisfaction of learners.

• Journal of the Korea society of information convergence
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• v.6 no.2
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• pp.15-22
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• 2013

Applying iterative learning utilizing SNS & Community to the class for pre-kindergarten teachers, the effectiveness of teaching satisfaction, self-efficacy, and curriculum understanding was verified. A iterative learning model utilizing SNS & Community in teachers leading traditional off-line teaching at college education field was applied separately into thinking to one-self by advance organizer, thinking together by presentation in the beginning of the class, and sharing the thoughts by community activities after the class. Iterative learning begins by being sent SNS to students from teachers before the class, but learners for themselves subsequently start to proceed self-directed learning activities. As a result, class satisfaction and understanding of pedagogy have been increased, and it had a positive influence on self-efficacy. Thus, it is to suggest utilizable SNS of professors and a teaching method utilizing Community to college students who need basic learning skills.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.22 no.4
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• pp.416-423
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• 2015

Purpose: The purpose of this study was to evaluate the effect of a self-evaluation method using video recording on competency in nursing skills, self-directed learning ability, and academic self-efficacy in nursing students. Methods: The study design was a non-equivalent pre-post quasi-experimental design. The experimental and control groups were randomly assigned with 35 participants in each group. Interventions for the experimental group were video recording and students' self-evaluation of what they did. Nursing skills included in the study were tube feeding, intradermal injection, subcutaneous injection, and intramuscular injection. Competency in nursing skills was measured one time at the end of the study using a checklist. Self-directed learning ability and academic self-efficacy were measured 3 times (pre-, mid-, and post-intervention) over the 8 weeks. Independent t-test, chi-square test, and repeated measures ANOVA were used for data analyses. Results: There was no statistically significant difference for competency in nursing skills and self-directed learning ability over the 8 weeks of the practice session. There was a significant difference in academic self-efficacy by groups over time. Conclusion: Results indicate that self-evaluation method using video recording is an effective learning way to improve academic achievement in nursing students.

• KIPS Transactions on Software and Data Engineering
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• v.8 no.9
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• pp.373-378
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• 2019

Since many programming sources are open online, problems with reckless plagiarism and copyrights are occurring. Among them, source codes produced by repeated authors may have unique fingerprints due to their programming characteristics. This paper identifies each author by learning from a Google Code Jam program source using deep neural network. In this case, the original creator's source is to be vectored using a pre-processing instrument such as predictive-based vector or frequency-based approach, TF-IDF, etc. and to identify the original program source by learning by using a deep neural network. In addition a language-independent learning system was constructed using a pre-processing machine and compared with other existing learning methods. Among them, models using TF-IDF and in-depth neural networks were found to perform better than those using other pre-processing or other learning methods.

• Journal of Platform Technology
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• v.8 no.1
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• pp.16-23
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• 2020

For protecting copyright for trademark, convolutional neural network can be used to confirm genuine of trademark image. For this, repeated training one trademark image degrades the performance of machine learning because of overfitting problem. Therefore, this type of machine learning application generates training data in various way. But if genuine trademark image is rotated, this image is classified as not genuine trademark. In this paper, we propose the way for extending training data to confirm genuine of trademark image which is rotated. Our proposed way generates rotated image from genuine trademark image as training data. To show effectiveness of our proposed way, we use CNN machine learning model, and evaluate the accuracy with test image. From evaluation result, our way can be used to generate training data for machine learning application which confirms genuine of rotated trademark image.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.1
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• pp.15-23
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• 2022

Among the learning methods for Continuous Learning environments, "Learning without Forgetting" has fixed regularization strengths, which can lead to poor performance in environments where various data are received. We suggest a way to set weights variable by identifying the features of the data we want to learn. We applied weights adaptively using correlation and complexity. Scenarios with various data are used for evaluation and experiments showed accuracy increases by up to 5% in the new task and up to 11% in the previous task. In addition, it was found that the adaptive weight value obtained by the algorithm proposed in this paper, approached the optimal weight value calculated manually by repeated experiments for each experimental scenario. The correlation coefficient value is 0.739, and overall average task accuracy increased. It can be seen that the method of this paper sets an appropriate lambda value every time a new task is learned, and derives the optimal result value in various scenarios.

• Journal of The Korean Association of Information Education
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• v.20 no.4
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• pp.367-374
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• 2016

In this study, we proposed the development of smart application for English speaking effectively. First, to develop English learning application, we applied the TTS feature to record your own sounds and learning theory repeated listening and speaking that is the basis of English learning. To analyze the effectiveness of the application, we applied a lesson to elementary students for 4 months. In the test result, we found that all students have advanced to the English speaking ability and the test results of the affective factors showed a positive response to most students.

• The Journal of Korean Association of Computer Education
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• v.7 no.1
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• pp.97-106
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• 2004

Recently, the demand for the customized courseware which is required from the learners is increased. Therefore the needs of the efficient and automated education agents in the web-based instruction are recognized. In this paper we propose a multi-agent system for course scheduling of learner-oriented using weakness analysis algorithm. At first proposed system analyze learner's result of evaluation and calculates learning accomplishment. From this accomplishment the multi-agent schedules the suitable course for the learner. The learner achieves an active and complete learning from the repeated and suitable course.

• The Journal of Korean Physical Therapy
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• v.22 no.6
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• pp.43-51
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• 2010

Purpose: This study examined the influence of visuomotor congruency on learning a relative phase relationship between a single joint movement and an external signal. Methods: Participants (N=5) were required to rhythmically coordinate elbow flexion-extension movements with a continuous sinusoidal wave (0.375 Hz) at a $90^{\circ}$ relative phase relationship. The congruent group was provided online feedback in which the elbow angle decreased (corresponding to elbow flexion) as the angle trajectory was movingup, and vice versa. The incongruent group was provided online feedback in which the elbow angle decreased as the angle trajectory was moving down, and vice versa. There were two practice sessions (day 1 and 2) and each session consisted of 6 trials per block (5 blocks per session). Retention tests were performed 24 hours after session 2, and only the external sinusoidal wave was provided. Repeated ANOVAs were used for statistical analysis. Results: During practice, the congruent group was significantly less variable than the incongruent group. Phase variability in the incongruent group did not significantly change across blocks, while variability decreased significantly in the congruent group. In retention, the congruent group produced the required $90^{\circ}$ relative phase pattern with significantly less phase variability than the incongruent group. Conclusions: Congruent visual feedback facilitates learning. Moreover, the deprivation of online feedback does not affect the congruent group but does affect the incongruent group in retention.