• Journal of the Korean Society of School Health
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• v.34 no.3
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• pp.190-199
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• 2021

Purpose: The study aims to identify factors that influence university students' compliance with infection prevention behaviors in the early stage of COVID-19. Methods: A survey was conducted online from July 29 to August 2, 2020, involving 261 students enrolled in general universities. Frequency analysis, descriptive statistics, t-test, ANOVA, correlation, and multiple regression analysis were carried out on the collected data using SPSS 24.0. Results: The average score of university students' risk perception of COVID-19 was 3.80, while the average score of health risk communication was 3.92. The average score of efficacy beliefs was 4.42 and the average score of practicing infection prevention behaviors was 4.54. Factors influencing the level of infection prevention behaviors were efficacy of preventive behaviors (β=.48 p<.001), health risk communication (β=.16, p=.003), subjective health status (β=.12, p=.015), and the type of college (β=.11, p=.041). Conclusion: In order to improve college students' infection prevention behaviors related to COVID-19, consideration should be given to providing interventions that focus on accurate knowledge and dissemination of accurate information about new infectious diseases and effectiveness of infection preventive behaviors.

• Journal of muscle and joint health
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• v.28 no.2
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• pp.130-139
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• 2021

Purpose: This study was conducted to identify factors affecting health behavior related to particulate matter (PM) of among nursing college students. Methods: A cross-sectional survey design was used. Data were collected from 261 volunteering nursing college students from three universities via an online survey. The survey questions measured PM risk perception, self-care agency, and health behavior related to PM. The study was conducted from June 22 to August 21, 2020. The data were analyzed using descriptive statistics, independent t-test, ANOVA, Pearson's correlation coefficient and multiple regression analysis. Results: The factor with the greatest influence on health behavior related to PM was PM risk perception, followed by self-care agency and the frequency of going out. These variables explained about 41% of the types of health behavior related to PM. Conclusion: PM risk perception and self-nursing agency were found to be significantly correlated with health behavior related to PM. This result suggests that there is a need to develop an educational program for nursing students to improve PM risk perception and self-nursing agency.

• Journal of Distribution Science
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• v.20 no.11
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• pp.89-98
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• 2022

Purpose: Increasing competition in the higher education sector has prompted universities to enhance their marketing efforts and understand their potential customers. The study aims to explore how information sources are used and changed among prospective Vietnamese students during the decision-making process. Research Design, Data, and Methodology: This study undertakes a longitudinal study involving multiple rounds of data collection to better understand the decision-making process of prospective students. Data was collected from 12th -grade students in Vietnam through two rounds of quantitative surveys with 251 students and one round of qualitative interviews, spanning the duration of their senior year. The three stages of the decision-making process correspond to the three stages of pre-purchase period. Results: Most students decide that attending open days, taking career assessments, and looking up information online are the most important information sources to consider. The WOM sources are more important in the early stages, while university-generated sources and events are important in the later stages. Conclusion: Implications from this study may contribute to the design of more effective marketing communications campaigns as university marketers gain a better understanding of the distribution of information sources utilized for each specific stage of the decision-making process.

• Journal of Korean Biological Nursing Science
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• v.25 no.2
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• pp.87-94
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• 2023

Purpose: The purpose of this study was to identify the impact of cognitive flexibility and e-learning digital literacy on the learning flow of nursing students who had experienced e-learning. Methods: The research design for this study was a descriptive survey using convenience sampling. Data were collected using online questionnaires completed by 134 nursing students in Andong city and Pocheon city. The data were analyzed using percentages, mean values, standard deviations, Pearson's correlation coefficients, and multiple regression with SPSS for Windows version 22.0. Results: Positive correlations were found between learning flow and e-learning digital literacy (r = .43, p < .001), between learning flow and cognitive flexibility (r = .52, p < .001), and between e-learning digital literacy and cognitive flexibility (r = .65, p < .001). In the multiple regression analysis, cognitive flexibility (β = .42, p < .001) was a significant predictor that explained 27.8% of variance in learning flow. Conclusion: The results of this study show that cognitive flexibility is a factor influencing learning flow in nursing students. Based on the results of the study, educational programs aiming to improve learning flow should include methods that improve cognitive flexibility.

• Journal of Technologic Dentistry
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• v.45 no.1
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• pp.8-13
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• 2023

Purpose: This study aims to induce interest in the future society that could change with the advance of the 4th Industrial Revolution. It also intends to identify the direction of university education by investigating the perception of university students majoring in dental laboratory technology about the latest technology used in this era. Methods: The study recruited 240 college students majoring in dental laboratory technology at K and D universities in Gangwon-do and Daejeon, respectively. Online and face-to-face surveys were conducted from March 20, 2022 to April 10, 2022. Results: Although their interest in the use of emerging technologies during the 4th Industrial Revolution was above average 3.85, the dental laboratory technology students exhibited relatively high levels of anxiety 3.19 and reluctance 2.96. Second, their interest in emerging technologies demonstrated positive correlations with major satisfaction and understanding of concepts and readiness, whereas reluctance and anxiety pointed to negative correlations with understanding of the concepts of the 4th Industrial Revolution. Conclusion: Formulating guidelines is necessary to help students increase their understanding of the 4th Industrial Revolution and prepare them appropriately by setting an educational direction that can flexibly respond to the rapidly changing industrial environment.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.500-507
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• 2022

COVID-19 pandemic forces college education to be rapidly switched from face-to-face education into remote education. Two inconsistent findings exist in previous study about remote learning. First, studies before COVID-19 pandemic found remote learning is an effective method, which provided students with higher achievement and improved their work-life balance. However, studies showed remote learning during COVID-19 pandemic is not as effective as expected because of technical issues, lack of motivations and even mental health issues. Second, findings from studies about remote learning impacts on workload and productivity during COVID-19 are also inconsistent. Therefore, this study aims to quantitatively measure college students' workload and productivity during COVID-19 of different types of tasks to provide a comprehensive and latest evaluation on remote learning. The findings of this study show remote learning slightly increases college students' total listening and speaking tasks workload, total reading and writing tasks workload. Furthermore, phone call, in-person meeting, online meeting and email workload increase significantly in remote learning. However, productivity for both listening and speaking, reading and writing tasks decreases after remote learning but no significant changes of productivity are found.

• Journal of the Korean Association of Oral and Maxillofacial Surgeons
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• v.50 no.2
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• pp.80-85
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• 2024

Objectives: To access the knowledge of undergraduate and postgraduate students of the dental college on basic anatomy, physiology, clinical examination, and pathology of the temporomandibular joint (TMJ). Materials and Methods: A total of 610 undergraduate and postgraduate students of dental college, were included in this study. The questionnaire was pretested for validation and distributed online through Google forms. Results: A pairwise comparison showed that the percentage of correct answers for interns significantly differed from that of IV Bachelor of Dental Surgery (P=0.050) and postgraduate students (P=0.048) (below average: up to 6 correct answers, good: 7-11 correct answers, excellent: 12 or more correct answers). Conclusion: TMJ diseases are common in daily life but frequently go undiagnosed and untreated due to a lack of clinical expertise. This demonstrates the necessity of providing instructions that give students in-depth knowledge and abilities for TMJ issues in clinical practice.

• Journal of Korean society of Dental Hygiene
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• v.23 no.6
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• pp.519-527
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• 2023

Objectives: This study aimed to investigate the awareness of students majoring in dental hygiene regarding the advanced dental hygiene system for the elderly and people with disabilities. Methods: From September 25 to October 20, 2023, an online survey was conducted with junior and senior students in 27 universities, including eight in the Seoul area, seven in the Chungcheong area, eight in the Yeongnam area, and four in the Honam area. Data analysis methods included frequency analysis, independent t-test, and one-way ANOVA. Results: After graduation, 72.9% of students were willing to work as advanced dental hygienists for the elderly and people with disabilities, and had greater recognition of the system (p=0.042), role (p<0.001), and expected effect (p=0.027) of an advanced dental hygienist than students who were not willing to work in this capacity. Conclusions: It is necessary to introduce a system that recognizes advanced dental hygienists for their expertise in oral hygiene management for the elderly and people with disabilities.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.9
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• pp.2564-2588
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• 2024

Due to COVID19 pandemic, most of educational institutions and schools changed the traditional way of teaching to online teaching and learning using well-known Learning Management Systems (LMS) such as Moodle, Canvas, Blackboard, etc. Accordingly, LMS started to generate a large data related to students' characteristics and achievements and other course-related information. This makes it difficult to teachers to monitor students' behaviour and performance. Therefore, a need to support teachers with a tool alerting student who might be in risk based on their recorded activities and achievements in adopted LMS in the school. This paper focuses on the benefits of using recorded data in LMS platforms, specifically Moodle, to predict students' performance by analysing their behavioural data and engagement activities using data mining techniques. As part of the overall process, this study encountered the task of extracting and selecting relevant data features for predicting performance, along with designing the framework and choosing appropriate machine learning techniques. The collected data underwent pre-processing operations to remove random partitions, empty values, duplicates, and code the data. Different machine learning techniques, including k-NN, TREE, Ensembled Tree, SVM, and MLPNNs were applied to the processed data. The results showed that the MLPNNs technique outperformed other classification techniques, achieving a classification accuracy of 93%, while SVM and k-NN achieved 90% and 87% respectively. This indicates the possibility for future research to investigate incorporating other neural network methods for categorizing students using data from LMS.

• Journal of Practical Engineering Education
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• v.5 no.2
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• pp.163-168
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• 2013

The vicious cycle of over-education has been made. That is, higher education enrollment rate is high, but university graduate employment rate is low. To eliminate this cycle and relieve youth unemployment and young people to enter the labor market early, dual education and training system is needed. This dual system can support working and learning in parallel. So, worker can get the opportunity pre-employment and post-learning and improve his/her job skills. Recent MOOC (Massive Open On-line Course), a new form of online education system, has emerged. MOOC combines education, entertainment and social networking, and emphasize the interaction between faculty and student and between students. The educational contents of MOOC are available free of charge. Using newly changed online education environments we can effectively provide knowledge and skills. In technology and engineering education hands-on training is necessary. In order to support work based learning dual system for worker to work and learn in parallel, we should build the multi-learning system to combine the online education and campus hands-on practice.