• International Journal of Computer Science & Network Security
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• v.22 no.9
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• pp.334-342
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• 2022

Nowadays, as we can notice on social media, most users choose to use more than one language in their online postings. Thus, social media analytics needs reviewing as code-switching analytics instead of traditional analytics. This paper aims to present evidence comparable to the accuracy of code-switching analytics techniques in analysing the mood state of social media users. We conducted a systematic literature review (SLR) to study the social media analytics that examined the effectiveness of code-switching analytics techniques. One primary question and three sub-questions have been raised for this purpose. The study investigates the computational models used to detect and measures emotional well-being. The study primarily focuses on online postings text, including the extended text analysis, analysing and predicting using past experiences, and classifying the mood upon analysis. We used thirty-two (32) papers for our evidence synthesis and identified four main task classifications that can be used potentially in code-switching analytics. The tasks include determining analytics algorithms, classification techniques, mood classes, and analytics flow. Results showed that CNN-BiLSTM was the machine learning algorithm that affected code-switching analytics accuracy the most with 83.21%. In addition, the analytics accuracy when using the code-mixing emotion corpus could enhance by about 20% compared to when performing with one language. Our meta-analyses showed that code-mixing emotion corpus was effective in improving the mood analytics accuracy level. This SLR result has pointed to two apparent gaps in the research field: i) lack of studies that focus on Malay-English code-mixing analytics and ii) lack of studies investigating various mood classes via the code-mixing approach.

• Journal of People, Plants, and Environment
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• v.23 no.2
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• pp.221-231
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• 2020

Since elementary school is a time in which basic concepts like attitudes and mindsets about careers are formed, career education is very important to elementary school students. This study was conducted to investigate the effects of a gardening program applying the academic disciplines of Science, Technology, Engineering, Arts, Mathematics, and Society (STEAMS) on developing career education for elementary school students. In order to determine the effectiveness of the program on career development of elementary school students, this study was conducted with 28 upper elementary students in the experimental group who participated in the gardening program, and 30 upper elementary students in the control group who did not. The program was comprised of total 8 sessions, one session per week, with various garden activities. The career development scores of the two groups before and after the program were comparatively analyzed. Before the program, the experimental group had significantly lower scores for career development than the control group. After 8 weeks of the program, the control group did not show any changes in career development, while the experimental group that participated in the program showed a significant increase in career development, resulting in no difference in career development between the two groups after the program. Therefore, the program has positive effects on improving career development of upper elementary students who previously had insufficient career development. Overall, the program had positive effects on career development of upper elementary students, and further research is needed to systematically promote the STEAMS-based gardening program to promote interest and understanding of students by associating plant-based gardening activities with various subjects such as science, art, and social studies.

• Communications of Mathematical Education
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• v.31 no.4
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• pp.389-407
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• 2017

Many researches related to STEAM education have been actively conducted for developing elementary and secondary school students' comprehensive and logical thinking ability in relation to creativity education in Korea. Each sub factor of STEAM education requires creative thinking with the ability to be merged together to solve problems as integrated or combined forms in the fields of Science, Technology, Engineering, Arts, and Mathematics. Also, these STEAM activities and experiences should be carried out at various places outside the classroom in school. Although various educational programs to enhance mathematical creativity have been emphasized for elementary and secondary school students, recent tendency to focus on classroom learning in the school makes it difficult to develop creative thinking ability of students. This research is mainly based on the result of the project "Development and Administration of STEAM Outreach Program in 2016" supported by KOFAC(Korea Foundation for the Achievement of Science & Creativity). The purpose of this research is to develop a STEAM outreach program including students' activity books, teachers' manuals and administration manual that can maximize STEAM-related interest of students, and to provide a chance for elementary and secondary school students to experience creative thinking based on sub factors of STEAM. The STEAM competency total score and the perception of convergence education were significantly increased for all students participating this program, but some sub factors showed different result by school levels. The STEAM outreach program developed by this study is designed to emphasize STEAM education especially 'based on' mathematics in order to provide students with the opportunity to experience more interest in the field of mathematics and will be able to provide an interesting creative STEAM outreach program that utilizes a variety of activities which, we expect, would help students to consider their career in the future.

• Journal of Internet Computing and Services
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• v.20 no.4
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• pp.81-90
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• 2019

Since 2015, the government has been striving to strengthen the software capabilities required for future talent through software-oriented university in Korea. In the university selected as a software-oriented university, basic software education is given to all departments such as humanities, social science, engineering, natural science, arts and the sports within the university in order to foster convergent human resources with different knowledge and software literacy. In this paper, we analyze the contents of basic software education for twenty universities selected as software-oriented universities. As a result of analysis, most of the basic software education which is carried out to the students of the non-majors students was aimed at improvement of problem solving ability centered on computational thinking for future society and improvement of convergence ability based on computer science. It uses block-based educational programming language and text-based advanced programming language to adjust the difficulty of programming contents and contents reflecting characteristics of each major. Problem-based learning, project-based learning, and discussion method were used as the teaching and learning methods for problem solving. In the future, this paper will help to establish the systematic direction for basic software education of non-majors students.

• Journal of Practical Engineering Education
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• v.7 no.1
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• pp.47-55
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• 2015

This study has the objective of proposing the basic data for the political and administrative support needs so that the Echo generation can be prepared with the supper-aged society, by verifying the perception level and degree of necessity about the outplacement support service, whether they want to be serviced or not, and necessary contents in the service with the employed people and non-employed people as objects among the Echo generation in the Southeast region. The study result derived from these effort is illustrated as follows. The perception level of the Echo generation about outplacement support service showed to be significantly different according to the gender, age, industry type, and career. The degree of needs was significantly different depending on the age. For the provision period of the outplacement support service, the opinions were that 3 months before the retirement was most appropriate. The intention of participation when the outplacement support service is provided showed to be significantly different depending on the age.

• Journal of Practical Engineering Education
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• v.7 no.1
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• pp.39-45
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• 2015

This research is about the effects of individuality, relatedness on organizational commitment and job satisfaction. This research analyzed 140 new employees. We used four tools to assess the new employees: individuality scale, relatedness scale, organizational commitment scale and job satisfaction scale. The research was based on two questions. Question 1. Does individuality have any relation to job satisfaction and organizational commitment? Question 2. does relatedness have any relation to job satisfaction and organizational commitment? The results indicated a positive correlation between individuality and organizational commitment and job satisfaction. Results also showed a positive correlation between relatedness and organizational commitment and job satisfaction. According to the result of one way analysis of variance, the group which scored individuality and relatedness scoreabove the mean value best reflected the qualities of organizational commitment and job satisfaction.

• Applied Chemistry for Engineering
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• v.27 no.2
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• pp.179-184
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• 2016

In this work, the influence of milled carbon fiber direction on mechanical properties of milled carbon fibers/carbon blacks/natural rubber compounds was investigated. The compounds were prepared by adding the 6 phr milled carbon fibers (MCFs) and 40 phr carbon blacks (CBs) into the natural rubber. The MCFs were aligned in a parallel and orthogonal direction in the compounds using two-roll-mill machine. Mechanical properties of compounds were studied by tensile characteristics and tearing strength. As a result, the compounds showed higher tensile strength, 100%~300% modulus, and tearing strength than those of using any other compounds due to the aligning MCFs in parallel. Mechanical properties of the compounds reinforced with non-aligned MCFs were inferior to those of others. Consequently, the parallel aligned MCFs in the compounds led to an increase of tensile properties and improvement of tearing strength, resulted from MCFs with the high elastic modulus.

• Journal of Practical Engineering Education
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• v.10 no.1
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• pp.63-72
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• 2018

The study was conducted to analyze domestic research trend and suggest directions of research with focusing on the importance of working alliance which relation between supervisor and supervisee in counseling supervision. The study analyzed 12 researches by chronologically, research object, counselor's factor, research method. The result is as follows. First, the research data was scant because there was only 12 articles since 2006. Second, the research, which object was supervisor(83.3%) and supervisee(16.7%) and supervisor(0%) was insufficiency with regard to the research of supervisee(83.3%). In addition to, the research about observable state and observable trait was insufficient, while inference state(56.3%) and inference trait(27.1%) was the highest in the research about Counselor's trait which object was supervisor(17.3%). Third, the method of research was quantitate research(100%), there is no qualitative research. At the last, discussion of the result, limitation of the study, follow study were proposed.

• Journal of Practical Engineering Education
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• v.11 no.1
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• pp.105-115
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• 2019

This study focused on the importance of job position as a role model for female career adaptation. To do this, we used the KWMP data to conduct a Multinomial logit analysis to examine the influence factors of the tenure women managers. As a result, first, section chief position showed a low level of life satisfaction and showed difficulty of beginner's manager. Second, it is predicted that the position of the Deputy Head of Department will establish the identity of work as an intermediate manager. Third, head of department Director showed a high age, target status, possibility of achieving the target, and duration of the next job. Fourth, executive level has the least average experience of discrimination on monthly average wage. It was suggested that it is important to develop individual career by recognizing that the organizational atmosphere and personnel management are lower than those of the other positions. It was found that age, organizational atmosphere and personnel management, goal status, possibility of achieving goals, next job tenure period, monthly average wage, welfare, and life satisfaction factors were the most influential factors in women career adjustment. Finally, implications and limitations were discussed based on the results of this study.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.1
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• pp.88-95
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• 2021

This study aims to provide implications for establishing support policies for students by empirically analyzing data on university students dropouts. To this end, data of students enrolled in D University after 2017 were sampled and collected. The collected data was analyzed using topic modeling(LDA: Latent Dirichlet Allocation) technique, which is a probabilistic model based on text mining. As a result of the study, it was found that topics that were characteristic of dropout students were found, and the classification performance between groups through topics was also excellent. Based on these results, a specific educational support system was proposed to prevent dropout of university students. This study is meaningful in that it shows the use of text mining techniques in the education field and suggests an education policy based on data analysis.