• Safety and Health at Work
• /
• v.12 no.3
• /
• pp.339-345
• /
• 2021

Background: Some researchers state that they are not yet able to provide a deep understanding of the underlying causes of unsafe behaviors (UBs). Therefore, the present study was conducted to investigate the attitudes and experiences of Iranian workers of UBs. Methods: This present study was conducted in 35 industries using a semistructured interview based on grounded theory. Forty participants were interviewed, including 13 industrial safety and health experts and 27 workers and supervisors. The analysis of the present study consisted of a three-step coding process including open, axial, and selective coding. Results: The results showed that the factors affecting UBs could be classified into three categories: organizational, individual, and socioeconomic factors. Organizational factors were divided into 6 parts: procedure and environmental conditions, communications, monitoring, organizational safety culture, resource allocation, and human resources. Socioeconomic factors had three subcategories: community safety culture, type of organizational ownership, and economic problems. Finally, the individual factors were classified into two categories of personality traits and individual competence. Conclusion: The results showed that organizational factors were the most categorized, and it is estimated that this factor has a more important role in the UBs. Of course, to better understand the close relationship between these factors and find the weight and importance of each factor, it needs to measure it with multicriteria decision systems.

• Journal of The Korean Association of Information Education
• /
• v.20 no.2
• /
• pp.139-150
• /
• 2016

The development of Smart devices has become a key influence on the changes of the school system. As Smart education is integrated and institutionalized in school systems, how it is perceived and utilized by teachers should be investigated. This study is conducted to find out the perception of the teachers on characteristics of Smart education, using qualitative research method, and to analyze importance-performance, using additional quantitative analysis. To figure out the perceptions of the attributes of Smart education by teachers, related literatures were reviewed. The 8 teachers were selected and the data on their perceptions of Smart education were collected through direct observation of class and semi-structured in-depth interview. After researching, we finally drew out 16 final concepts, 6 sub-categories, and 3 categories in the open coding process. Based on the 16 concepts on teachers' perceptions on Smart education, importance-performance analysis (IPA) were conducted to identify areas that need focus and improvement. Based on the results of teachers' perceptions on importance of and the levels of use of Smart education, recommendations were provided for better practice of Smart education in school.

• Education of Primary School Mathematics
• /
• v.20 no.4
• /
• pp.253-266
• /
• 2017

The purpose of the study was to investigate the perceptions of Elementary school teachers on mathematics instruction. To do this, 7 test items were developed to obtain data on teacher's perception of mathematics instruction and 73 teachers who take mathematical lesson analysis lectures were selected and conducted a survey. Since the data obtained are all qualitative data, they were analyzed through coding and similar responses were grouped into the same category. As a result of the survey, several facts were found as follow; First, When teachers thought about 'mathematics', the first words that come to mind were 'calculation', 'difficult', and 'logic'. It is necessary for the teacher to have positive thoughts on mathematics and mathematics learning, and this needs to be stressed enough in teacher education and teacher retraining. Second, the reason why mathematics is an important subject is 'because it is related to the real life', followed by 'because it gives rise to logical thinking ability' and 'because it gives rise to mathematical thinking ability'. These ideas are related to the cultivating mind value and the practical value of mathematics. In order for students to understand the various values of mathematics, teachers must understand the various values of mathematics. Third, the responses for reasons why elementary school students hate mathematics and are hard are because teachers demand 'thinking', 'because they repeat simple calculations', 'children hate complicated things', 'bother', 'Because mathematics itself is difficult', 'the level of curriculum and textbooks is high', and 'the amount of time and activity is too much'. These problems are likely to be improved by the implementation of revised 2015 national curriculum that emphasize core competence and process-based evaluation including mathematical processes. Fourth, the most common reason for failing elementary school mathematics instruction was 'because the process was difficult' and 'because of the results-based evaluation'. In addition, 'Results-oriented evaluation,' 'iterative calculation,' 'infused education,' 'failure to consider the level difference,' 'lack of conceptual and principle-centered education' were mentioned as a failure factor. Most of these factors can be changed by improving and changing teachers' teaching practice. Fifth, the responses for what does a desirable mathematics instruction look like are 'classroom related to real life', 'easy and fun mathematics lessons', 'class emphasizing understanding of principle', etc. Therefore, it is necessary to deeply deal with the related contents in the training courses for the improvement of the teachers' teaching practice, and it is necessary to support not only the one-time training but also the continuous professional development of teachers.

• Journal of The Korean Association of Information Education
• /
• v.19 no.1
• /
• pp.149-158
• /
• 2015

Programming education plays a very effective role in comprehensively learning problem analysis ability, logical thinking ability, procedural problem solving method, and imaginary problem solving method. Until recently, however, it is not applied to the elementary and the middle school in Korea, which is very different from the other IT centerd countries such as the U.S., etc., where coding class is actively implemented. Fortunately, Korean government recognized this reality and decided to implement programming education as a regular subject in the elementary school from 2017. In this situation, many researchers' programming education model research is urgently required for the students to learn in the elementary and the middle school. This research developed and suggested 17 sessions of programing education model connected with scratch language and sensor board, which is hardware, to be applied to the class of the 5th and 6th graders. As the result of implementing the joint class of 5th and 6th graders during the after-school class based on programming education process suggested to verify the suitability for elementary school programing education, satisfactory achievement was attained by the assessed students. The researcher plans to develop an optimum model proper for the elementary school students' intellectual capacity by more improving programming education model.

• Journal of Digital Convergence
• /
• v.15 no.7
• /
• pp.55-64
• /
• 2017

The purpose of this study is to identify the difficulties of learners who started programming after entering college and to search an effective software education method as university liber arts for non-science major students. In order to do this, we analyzed the difficulties of learners in Python programming classes composed of students from various majors at H University through questioning and taught them using flipped class model with pre-questions. The questions that students submit are collected online before class every time, the data on the degree of the difficulty of feeling and the understanding of feeling were obtained through the questionnaire. As a result, for learners who are new to programming, the learners should allocate the process of making the problem into a logical abstraction at the beginning of the curriculum before learning the basic concept of computer language, each lesson should be practiced through the bottom-up problems enough to provide a logical understanding before actual coding. In addition, detailed curriculum should be developed according to characteristics of learner's major, contents and conducting level.

• Korean Journal of Culture and Social Issue
• /
• v.14 no.1_spc
• /
• pp.487-518
• /
• 2008

The study identifies the major themes for integration education program which enhances the relationship between the north Korean refugees and their south Korean hosts. The themes were selected based on qualitative analysis of the socio-cultural conflicts experienced by the refugees and the hosts in the acculturation process. Twenty-eight north Korean refugees over age 20 participated in semi-structured interviews, and two south Korean groups in close contact with the refugees, police and volunteer teachers, were interviewed in focus groups. The interviews were recorded and transcribed for categorization and coding. The study views the acculturation issue as the two-sided integration task for both the north Korean refugees and the south Korean hosts rather than as the one-sided acceptance and assimilation task for the refugees.

• East Asian Journal of Business Economics (EAJBE)
• /
• v.11 no.2
• /
• pp.91-108
• /
• 2023

Purpose - This research paper empirically analyzes the effect of changes in the employment environment due to the 4th industrial revolution on the turnover intention of cosmetic employers and employees and seeks the necessary measures for job instability in the industrial field. Research design, data, and methodology - A self-report questionnaire was conducted on 513 cosmetic implementers. Statistical processing of the data collected by the data analysis method was analyzed using the Statistical Package for Social Science (SPSS) WIN23.0 statistical package program through data coding and data organizing process. Results - Changes in the employment environment were found to have a significant effect on the effect of job instability (t=13.218, p<0.05). As for the effect of organizational commitment on turnover intention, the higher the organizational commitment, which is a parameter, has a negative (-) effect on turnover intention, a dependent variable (p<0.05). Conclusions - Our results are based on an analysis that allows cosmetic employers and workers to explore ways to address job insecurity. Based on the analysis results, it will help the growth of the cosmetics industry by providing basic data for the identity of the cosmetics industry and the development of the cosmetics service organization.

• Journal of Wellbeing Management and Applied Psychology
• /
• v.6 no.4
• /
• pp.63-68
• /
• 2023

Purpose: This study aims to investigate the national obligation of public health support for residents in medically vulnerable areas in Korea, and to propose a suitable model for public health institutions in this region. Research design, data, and methodology: A survey targeting residents was conducted from August 10 to August 17, 2021, with a sample size of 177 general citizens. The survey utilized a structured questionnaire administered online through Google, employing convenience random sampling. After an editing process to ensure data accuracy, the final dataset of 174 valid samples underwent encoding, coding, and cleaning using the IBM SPSS Statistics 22.0 program for analysis. Results: Health status revealed a moderate level, and 63.8% reported having chronic diseases, particularly prevalent among the elderly. External healthcare institutions were commonly utilized, with proximity and competence of doctors being primary reasons. Respondents expressed a need for improving the public health and medical system, emphasizing the establishment of a County Health Centre and expanding medical departments. Conclusions: In this region, the region's unique challenges, including education, employment, population decline, aging, and transportation, require multidimensional efforts and urgent intervention by public entities. Long-term strategies involve considering the establishment of a health and medical institute, adjusting health centre resources to local realities, and fostering a cooperative system for collaboration among residents and institutions.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.20 no.8
• /
• pp.190-199
• /
• 2019

This quantitative study analyzed the influence of college students' preferred type of occupation on a confirmation bias and job anxiety during the process of making a career decision. The questionnaires were distributed to university students in Seoul and the metropolitan area for 500 weeks from July 10 2017 to August 8, 2017. Among them, 482 valid samples of data were analyzed by data coding and data cleaning usin SPSS 18.0 statistics and the AMOS 18.0 program. The main results of this study are that the type of business preference for an affirmative bias has a positive (+) direct influence (${\beta}=.374$) and the type of freedom has a positive direct influence (${\beta}=.326$) and a negative direct influence (${\beta}=-.274$). In the case of job anxiety, the influence of job type is more increased. The confirmation bias shows that the business type and freestyle type find cause in effort or achievement motive, while rect type is recognized as social environment and structural problem. In conclusion, there is a difference in the degree of confirmation bias and job insecurity. This study shows that college students' preferred occupation types can help them to understand the bias and anxiety that they have in preparing for the job and help to reduce job anxiety, and these findings are expected to be useful for career guidance.

• Journal of The Korean Association of Information Education
• /
• v.26 no.3
• /
• pp.197-207
• /
• 2022

In this paper, we develop a machine learning based block code generation and recommendation model for the purpose of reducing cognitive load of learners during coding education that learns the learner's block that has been made in the block programming environment using natural processing model and fine-tuning and then generates and recommends the selectable blocks for the next step. To develop the model, the training dataset was produced by pre-processing 50 block codes that were on the popular block programming language web site 'Entry'. Also, after dividing the pre-processed blocks into training dataset, verification dataset and test dataset, we developed a model that generates block codes based on LSTM, Seq2Seq, and GPT-2 model. In the results of the performance evaluation of the developed model, GPT-2 showed a higher performance than the LSTM and Seq2Seq model in the BLEU and ROUGE scores which measure sentence similarity. The data results generated through the GPT-2 model, show that the performance was relatively similar in the BLEU and ROUGE scores except for the case where the number of blocks was 1 or 17.