• 한국체육학회지인문사회과학편
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• v.58 no.3
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• pp.241-260
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• 2019

The purpose of this study is to explore effective and practical career plans reflecting demand of the field, in regard to education for university students who major in physical education, as the importance and necessity of career education at a university level are increasing. Systematic literature review (PRISMA) methodology was used for this study. From 38 pieces of literature that were finally selected for this study, research results were put together from three perspectives as follows: 1. 'Factors Related to Students' Decision-Making for Career' which should be considered in career education for physical education majors; 2. Problems of Career Education in the Physical Education Curriculum, and; 3. Improvement Plans. First, it was found that students' decision-making for career is affected by individuals' personal internal factors (i.e., satisfaction with major, self-efficacy, and career barrier) and external factors (i.e., counselling history on career paths, career conditions, and the status of related jobs). Second, the state of career education for physical education majors was found to be insufficient in terms of a lack of career education in the curriculum, a lack of support from major professors, and a lack of support for field experience. Third, improvement plans were suggested from the following perspectives: development of systematic career education curriculum (i.e., fostering leadership, reorganization of curriculum focused on career specialty, and operation of systematic curriculum); provision of an adequate environment for career education (i.e., establishment of infrastructure that links the university to society and collection of information on career paths for physical education majors). Moreover, the necessity to develop career education curriculum in connection with demand of students regarding career, the lack of systematic information on career paths of physical education majors, and the lack of researches on career education for physical education majors were discussed in this study.

• The Korean Journal of Archival Studies
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• no.75
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• pp.177-212
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• 2023

Private archives are an important indicator of understanding a society that contains various memories, the lives and experiences of members, daily lives, morality, and values. Recently, as diversity has emerged as an important value in Korean society, a number of individuals and communities have been appeared based on different bases and purposes, and the contents, types, and categories of private archives produced from their voluntary activities have also diversified. These private organizations and communities are potential targets for producing and holding private archives, but most of them do not have the minimum infrastructure or system for management of archives, and the foundation for management of archives is weak only to be supported with the voluntary will and activities of the private sector. Therefore, there is a need for a plan to support activities to manage archives suitable for each organization's level while respecting the unique characteristics and methods of the private sector within the national management system of archives. In addition, since it is difficult to solve all issues related to management of archives in the private sector with only a small number of process topics, a cooperative system should be established to sustain activities to manage archives on its own through networks between private sectors. In this study, we intend to propose a 'private archives information network platform (hereinafter referred to as a platform)' as a way to establish a communication and network foundation between private sectors and share resources with each other. Based on the results of analysis of cases of building network between private sectors and expected user requirements, we would like to establish a vision and target model of the platform and discuss ways to continuously operate the platform.

• Korean Journal of Forensic Psychology
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• v.12 no.1
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• pp.35-51
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• 2021

People's belief in free will is important in determining the causes and responsibilities of human behavior. Over the past decades, there has been debate about belief in free will in the fields of neuroscience, philosophy, ethics, and criminal law. The Free Will and Determinism Scale (FAD-Plus; Paulhus & Carey, 2011) is a test tool that measures the components related to the belief in an individual's free will. This study conducted a confirmatory factor analysis of 1,000 ordinary people of various age groups and socio-economic backgrounds based on previous studies that conducted an exploratory factor analysis (Study 1). The author has secured the reliability and validity of a number of measures. Furthermore, it was examined how the sub-item of the FAD-Plus scale, 'belief in free will,' was related to correspondence bias and locus of control (Study 2). As a result of analyzing a total of 83 subjects, high belief in free will had a positive correlation with punishment judgment for negative behavior and internal attribution, but there was no significant relationship in reward judgment for positive behavior. Based on the study results, it was proven that the FAD-Plus is valid for the general public as well, and the relationship between belief in free will, attribution bias, locus of control and behavior judgment was examined. The limitations of this study, policy implications, and research directions are discussed.

• Journal of Intelligence and Information Systems
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• v.29 no.2
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• pp.285-301
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• 2023

Due to the increasing demand and importance of non-face-to-face education, open online learning platforms are getting interests both domestically and internationally. These platforms exhibit different characteristics from online courses by universities and other educational institutions. In particular, students engaged in these platforms can receive more learner autonomy, and the development of tools to assist learning is required. From the past, researchers have attempted to utilize process mining to understand realistic study behaviors and derive learning patterns. However, it has a deficiency to employ it to the open online learning platforms. Moreover, existing research has primarily focused on the process model perspective, including process model discovery, but lacks a method for the process pattern and instance perspectives. In this study, we propose a method to identify learning patterns within an open online learning platform using process mining techniques. To achieve this, we suggest three different viewpoints, e.g., model-level, variant-level, and instance-level, to comprehend the learning patterns, and various techniques are employed, such as process discovery, conformance checking, autoencoder-based clustering, and predictive approaches. To validate this method, we collected a learning log of machine learning-related courses on a domestic open education platform. The results unveiled a spaghetti-like process model that can be differentiated into a standard learning pattern and three abnormal patterns. Furthermore, as a result of deriving a pattern classification model, our model achieved a high accuracy of 0.86 when predicting the pattern of instances based on the initial 30% of the entire flow. This study contributes to systematically analyze learners' patterns using process mining.

• Korean Journal of Culture and Social Issue
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• v.19 no.4
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• pp.553-576
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• 2013

The purpose of this study was to investigate the impact of retirement stress, character strengths and marital dissatisfaction on depression. Additionally this study examined direct effects and indirect effects of character strengths and marital dissatisfaction. The participant group was composed of 197 retired men living in Daegu and Gyongsangbuk-do. The Retirement Stress Scale (RSS), Character Strengths Test (CST), Korean Marital Satisfaction Inventory (K-MSI), and Center for Epistemology Studies Depression scale (CES-D) were administered to participants. Structural Equation Modeling (SEM) with AMOS was used for the purpose of analysis. The results of the study were as follows. First, an increase in retirement stress was associated with higher levels of depression. Second, hierarchical regression analysis indicated that higher levels of optimism significantly predicted higher depression. Also hierarchical regression analysis indicated that lower levels of appreciation of beauty and excellence without optimism significantly predicted higher depression. Furthermore, increases in marital dissatisfaction were associated with higher levels of depression. Third, the constructed model including both direct effects and indirect effects appeared to fit better than alternative model in explaining relationships between retirement stress and depression. In other words, character strengths and marital dissatisfaction appeared to affect the depression levels of retired men directly and indirectly. To sum up, this study demonstrated that the factors which had an effect on depression in retired men, character strengths and harmonious marital relationships appeared to act as a buffer against depression in retired men. The current results might serve as basic data for psychological well-being programs for retired men. Finally, the limitations and implications of the current study were discussed.

• Journal of the Institute of Convergence Signal Processing
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• v.24 no.2
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• pp.126-133
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• 2023

In this study, electromyography was obtained in the six muscle areas that move the joints of the two legs, and by analyzing it, an exercise robot system capable of gait rehabilitation was proposed in consideration of the individual's muscle state. Through this, the system was constructed to prevent the effect of exercise from decreasing because the patient's will was not reflected when walking exercise was simply provided automatically. As a result of the evaluation of the developed system, it was confirmed that the pedestrian rehabilitation robot system manufactured through this study had performance suitable for the design requirements, and it was also confirmed that the usability evaluation was comprehensively satisfactory. The results of this study are thought to be of great help to patients who are having difficulty in gait rehabilitation, and are believed to be helpful in the development of electromyography signal-based gait robot systems.

• Journal of Intelligence and Information Systems
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• v.29 no.4
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• pp.31-49
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• 2023

With the growth of the food-catering industry, consumer preferences and the number of dine-in restaurants are gradually increasing. Thus, personalized recommendation services are required to select a restaurant suitable for consumer preferences. Previous studies have used questionnaires and star-rating approaches, which do not effectively depict consumer preferences. Online reviews are the most essential sources of information in this regard. However, previous studies have aggregated online reviews into long documents, and traditional machine-learning methods have been applied to these to extract semantic representations; however, such approaches fail to consider the surrounding word or context. Therefore, this study proposes a novel review textual-based restaurant recommendation model (RT-RRM) that uses deep learning to effectively extract consumer preferences from online reviews. The proposed model concatenates consumer-restaurant interactions with the extracted high-level semantic representations and predicts consumer preferences accurately and effectively. Experiments on real-world datasets show that the proposed model exhibits excellent recommendation performance compared with several baseline models.

• Journal of Korean Elementary Science Education
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• v.43 no.1
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• pp.95-107
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• 2024

In this study, we explored the mediating effect of grit in the relationship between elementary school science teachers' perceived personal pedagogical content knowledge (pPCK) and enacted pedagogical content knowledge (ePCK). Drawing on insights from a review of the literature, we developed a research hypothesis model that set pPCK, ePCK, and grit as latent variables. Pearson correlation was conducted to examine the interrelationships among the latent variables. Structural equation modeling (SEM) was then employed to analyze the model fit. Additionally, bootstrap analysis was performed to specifically investigate the mediating effect of grit in the relationship between pPCK and ePCK. The Pearson correlation analysis indicated statistically significant correlations among the measurement variables. Meanwhile, the SEM analysis revealed that the measurement model aligned with the research hypothesis model. Furthermore, the bootstrap analysis demonstrated that grit had a statistically significant mediating effect in the relationship between elementary school science teachers' perceived pPCK and ePCK. These findings quantitatively examine the importance and impact of grit in the teacher expertise domain, providing valuable insights for the development of teachers' expertise and teacher education research within elementary school science classes.

• The Journal of Korean Academy of Prosthodontics
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• v.62 no.1
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• pp.6-19
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• 2024

With the advancement of Computer-Aided Design/Computer-Aided Manufacturing (CAD-CAM) technology, fabrication of dentures using this technology has gained popularity. As one of CAD-CAM technologies, digital complete denture system has been introduced, which fabricates complete dentures using subtractive manufacturing of monolithic block containing both the color of a denture base and an artificial tooth. In this case, two pairs of upper and lower dentures were fabricated for two patients. Two pairs of complete dentures were fabricated for a 74-year-old male and a 73-year-old female respectively by conventional denture fabrication method and digital method of milling. To obtain a digital complete denture, monolithic block (Ivotion, Ivoclar Vivadent, Schaan, Liechtenstein) was chosen for the materials to fabricate the digital complete dentures. An individual tray was designed using CAD software and manufactured by 3D printing technique. The final impression and interocclusal relationship were recorded using the fabricated individual tray. The final impression was scanned, and the complete denture design and try-in denture were 3D printed using CAD-CAM software. Subsequently, the monolithic block was milled, and the final dentures were fabricated and tried on patients. Previously mentioned two patient cases compared and analyzed stability, fit, speaking, mastication, aesthetics, and patient satisfaction of two pairs of dentures: one fabricated using CAD-CAM system and the other using traditional methods. This was performed to evaluate and report the findings from both denture-making approaches.

• Korea journal of population studies
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• v.19 no.1
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• pp.139-159
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• 1996

This study comparatively examines a causal model of employee attatchment which focuses on employee's organizational commitment and intent to stay with an organization. This study is based on two separate studies of employee attachment among teachers : the U.S. case of the Chicago Public Schools (CPS) and the South Korean case of the Seoul Educational District (SED). The main purpose of this study is to replicate in Korea the CPS study. A revised model based on the unique characteristics of Korean teachers is also developed and estimated. The Price Mueller model of employee attachment provides the basic theoretical framework for this study. It includes five general classes of variables : 1) employee responses to work variables : job satisfaction, commitment, and intent to stay; 2) psychological stress variables: role ambiguity, role conflict, work overload, and quality of students; 3) social structural variables: autonomy, routinization, distributive justice, and legitimacy; 4) economic structural variables: pay, job security, promotional opportunities, and job opportunities; and 5) work orientation variables : career commitment, normative commitment, work motivation, affectivity, work values, and met expectations. The data was collected through questionnaire survey and a sample of 649 secondary school teachers in Seoul, South Korea, was included in the final analysis. Covariance structure analysis (LISREL) was used to estimate the causal model. The results indicate that the endogenous variables of job satisfaction and commitment play a considerably less important role than in the U.S. model in mediating the effects of the exogenous variables on intent to stay, and the model fails to explain the majority of the variance in intent to stay. In addition, the new variables added to the revised Korean model do not bave significant effects on intent to stay. The structural characteristics of the employment relationship and labor markets associated with Korean teachers forced mobility and closed external markets - are largely accountable for the major differences between the Korean and the U.S. cases. The study suggests that conceptual and empirical work on what produces employee attachment under these structural constraints needs to receive more attention in future studies.