• Journal of the Korea Society of Computer and Information
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• v.26 no.12
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• pp.299-307
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• 2021

As the COVID-19 pandemic spread around the world, more and more universities are conducting real-time distance video lectures using ZOOM, Webex, and MS Teams. This study attempts to identify the factors influencing learner satisfaction of real-time distance video lectures. Based on the existing research, it was composed of five elements (system factor, content quality, interaction, self-direction, and learning motivation) as learner satisfaction elements of real-time distance video lectures. As a result of analyzing the structural equation model of 160 effective questionnaires by conducting a survey of college students in the metropolitan and Chungcheong areas, it was found that three factors (interaction, self-direction, and learning motivation) influence learner satisfaction. Real-time distance video lectures are expected to continue to expand in the future. Therefore, universities should continuously increase learner satisfaction through the development and evaluation of real-time distance video lecture satisfaction models.

• The Journal of Korean Association of Computer Education
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• v.22 no.3
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• pp.123-133
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• 2019

The purpose of this study is to establish Smart Education Environment for children's personalized learning based on the data are accumulated by Smart Device which is one of element on Smart Education. In this study, we propose the operational improvement plan for the free choice activity in the 5-year-old kindergarten and also implement the Free Choice Activity(FCA) management system for children to select and to evaluate the play plans for themselves. Children participating in this study have fun the whole time for the process of self-planning, the playing activities and the self-assessment of playing. As a result, it is confirmed that children participate actively in decision-making of interesting areas through the smart device than the traditional education environment before. A single teacher using FCA management system with smart device in this study can get useful information without difficulty of individual child's interests, learning and the statistics of children in the classroom.

• Journal of Convergence for Information Technology
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• v.9 no.8
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• pp.221-232
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• 2019

This study aimed at finding out special education teachers' failure and success factors in teacher recruitment examinations. Total of 24 special education teachers participated in the semi-structured interview and 12 separate semantic themes were extracted via continuous comparative analysis on the interview contents. The findings were the following. First, the identified factors for the failures on the examinations were merely following what others do, failure-causing learning strategies, unconditional memorization, ineffective study groups, anxiety and lack of confidence, and lack self-management issue. Second, the identified factors for the success on the examinations were my style of study habits, success-causing learning strategies, balance of understanding and memorization, effective study groups, positivity, and strong self routine. The research proposes several practical applications to prepare the exam regarding this results.

• Journal of Digital Convergence
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• v.19 no.7
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• pp.441-449
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• 2021

This study was conducted to identify the factors affecting the SDLA of nursing students who experienced online-class due to COVID-19. The subjects of this study were 115 nursing students who had experienced online-class due to COVID-19 for more than one semester at a university. Data were collected through online surveys from November 18 to December 1, 2020. Factors that have a statistically significant influenced on SDLA in nursing students were 'use of emotion' in emotional intelligence (β=.42, p<.001), 'control' in resilience (β=.28, p=.001), and 'objectivity' in critical thinking disposition (β=.27, p<.001), which accounted for 62.0% of the total variance. Research and intervention to improve the emotional intelligence of nursing students were constantly needed, and it is suggested that this be considered when producing educational contents.

• Journal of Korean Dental Hygiene Science
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• v.4 no.1
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• pp.65-77
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• 2021

Background: The purpose of the present study was to evaluate changes in the communication capabilities of dental hygiene students after completing a problem based learning (PBL) dental communication curriculum. With this information, we intend to gather the basic data necessary to stress the need for and value of an education in communication regarding dental hygiene. Methods: PBL-based education was provided to a total of 49 third-year dental hygiene students who took the dental communication class taught by the Department of Dental Hygiene at S University during the 2^nd semester of 2020. The relevant self-evaluation was modified, based on the aim of the present study, to refer to three basic key competencies related to the communication capabilities of dental hygienists. An assessment of dental communication competency was conducted by analyzing the changes in self-evaluations before and after completing the course, for each question, using a paired t-test. The statistical significance level was set at p < 0.05. Results: Analysis of core competencies before and after PBL-based dental communication education indicated that all competencies were significantly improved after education (p < 0.01). Conclusion: Dental hygiene students' dental communication skills increased significantly after completing PBL-based dental communication education. Therefore, a PBL-based dental communication curriculum is effective in improving dental communication skills for dental hygiene students.

• Research in Community and Public Health Nursing
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• v.32 no.4
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• pp.485-496
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• 2021

Purpose: This study attempted to obtain basic data for developing a global nursing practice education program. Methods: The data collection period was from July 2 to 11, 2020. The study participants were professors with experience in design, operation and management of global nursing practice education or experts with experience in international cooperation projects, and 8 people who agreed to participate in focus group interview (FGI). FGI was conducted twice in total and the directed content analysis method was applied. Results: The categories of 'practice design' are 'growing as a global nursing leader' and 'working together towards one goal'. The categories of 'practice operation' are 'watching, listening, and performing', 'self-directed organizing from preparation to finishing', and 'learning the value of participation rather than grades'. The category of 'practice management' is 'one's own weight to carry'. Conclusion: Global nursing practice education aims one goal - growing as a global nursing leader - and is self-directed course from preparation to an end with watching, listening and performing together. It is about learning the value of participation rather than grades. This can be used as basic data for the design, operation and management of global nursing practice education in the future.

• Journal of the Korea Convergence Society
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• v.12 no.11
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• pp.27-33
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• 2021

With increasing interest in key areas of the 4th industrial revolution such as artificial intelligence, deep learning and big data, scientific approaches have developed in order to overcome the limitations of traditional decision-making methodologies. These scientific techniques are mainly used to predict the direction of financial products. In this study, the factors of apartment prices, which are of high social interest, were analyzed through SOM. For this analysis, we extracted the real prices of the apartments and selected a total of 16 input variables that would affect these prices. The data period was set from 1986 to 2021. As a result of examining the characteristics of the variables during the rising and faltering periods of the apartment prices, it was found that the statistical tendencies of the input variables of the rising and the faltering periods were clearly distinguishable. I hope this study will help us analyze the status of the real estate market and study future predictions through image learning.

• The Journal of Korean Academic Society of Nursing Education
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• v.27 no.2
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• pp.210-222
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• 2021

Purpose: This study was conducted to develop and test the effects of a nursing information literacy competency education program for undergraduate nursing students. Methods: A non-equivalent control group pretest-posttest design was used. The subjects consisted of 42 sophomore undergraduate nursing students who had completed a fundamental nursing course (experimental group: n=21, control group n=21). The nursing information literacy competency education program consisted of 8 steps in 8 sessions, taught over 4 weeks, which was 20 hours in total. Data were collected between January 23 and March 14, 2019 and were analyzed using Chi-square test, Fisher's exact test, t-test, paired t-test, and repeated measure ANOVA with SPSS/WIN 23.0. Results: Significant differences were shown between the experimental and control groups regarding nursing information literacy competency (F=91.74, p<.001), problem-solving ability (F=52.43, p<.001), self-directed learning ability (F=36.61, p<.001), and evidence-based practice competency (F=59.66, p<.001). Conclusion: The nursing information literacy competency education program was effective in improving the nursing information literacy competency, problem-solving ability, self-directed learning ability, and evidence-based practice competency of nursing students. Hence, we recommend the nursing information literacy education program will be included as an independent course in the nursing curriculum for undergraduate nursing students to promote a needed proficiency in nursing information literacy competency.

• Journal of the Korea Society of Computer and Information
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• v.28 no.1
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• pp.201-208
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• 2023

As the demand for AI education increases, AI education is actively conducted in the educational field, but it is difficult to internalize AI education due to securing time, difficulty in organizing class contents, and lack of curriculum. As a way to solve this problem, there is a school autonomous course. The school autonomous course allows schools to have autonomy and discretion throughout the curriculum, such as adjusting the number of hours in the subject group and restructuring the use of achievement standards. In this study, in order to enhance AI education, the effect was analyzed by developing and applying an AI education immersion course using a school autonomous curriculum. In the AI education immersion course, students continuously experience AI education in a dense manner within a limited time, so substantial AI education can be achieved. After the AI curriculum, it was found that students' overall AI literacy and self-determination learning motivation improved. It is expected that this study will be able to present a direction to internalize AI education using school autonomous curriculum.

• International Journal of Computer Science & Network Security
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• v.23 no.3
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• pp.67-80
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• 2023

Rice is an important food crop for most of the population in Nowadays, psychologists consider social media an important tool to examine mental disorders. Among these disorders, depression is one of the most common yet least cured disease Since abundant of writers having extensive followers express their feelings on social media and depression is significantly increasing, thus, exploring the literary text shared on social media may provide multidimensional features of depressive behaviors: (1) Background: Several studies observed that depressive data contains certain language styles and self-expressing pronouns, but current study provides the evidence that posts appearing with self-expressing pronouns and depressive language styles contain high emotional temperatures. Therefore, the main objective of this study is to examine the literary cyber writers' posts for discovering the symptomatic signs of depression. For this purpose, our research emphases on extracting the data from writers' public social media pages, blogs, and communities; (3) Results: To examine the emotional temperatures and sentences usage between depressive and not depressive groups, we employed the SentiStrength algorithm as a psycholinguistic method, TF-IDF and N-Gram for ranked phrases extraction, and Latent Dirichlet Allocation for topic modelling of the extracted phrases. The results unearth the strong connection between depression and negative emotional temperatures in writer's posts. Moreover, we used Naïve Bayes, Support Vector Machines, Random Forest, and Decision Tree algorithms to validate the classification of depressive and not depressive in terms of sentences, phrases and topics. The results reveal that comparing with others, Support Vectors Machines algorithm validates the classification while attaining highest 79% f-score; (4) Conclusions: Experimental results show that the proposed system outperformed for detection of depression trends in literary cyber writers using sentiment analysis.