• 한국사회정책
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• v.20 no.2
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• pp.233-260
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• 2013

Despite various policies have been implemented to curb shadow education in Korea, it has continued to grow in recent two decades. This study investigates the expansion mechanism of shadow education focused on mobilization capabilities and market strategies of the suppliers. The success and failure of policy toward shadow education depends on how effectively it could block off the way by which the suppliers as the most important actors in politics of shadow education market mobilize consumers' anxieties. But shadow education policies have failed in two points. First, they have lacked honest intention to stop its proliferation. The Constitutional Court Decision Against Anti-Out-Of-School Classes Legislation of 2000 widened the windows of opportunity for the suppliers, and 5.31 educational reform of 1995 was neutral to their mobilization capabilities, though seemingly designed to control shadow education. This policy orientation, which reflected neoliberal Gesinnungsethik defective of Verantwortungsethik, stimulated shadow education to expand in that suppliers' mobilization capabilities were reinforced or remained intact. Second, shadow education suppliers have succeeded in mobilizing the desire and anxiety of potential consumers. To cope with government's policy including improving the qualities of public education, realignment of college entrance systems, and meeting the shadow education needs, they have developed various market strategies such as management of existing demands, creation of responsive demands, and squeezing out new demands. They have succeeded in nullifying policies by employing or mixing strategies with effect. Policy decisions in the future need to be made with reference to Verantwortungsethik, and be more cautious to socio-political contexts of Korea, to mobilization capabilities and market strategies of the suppliers in particular.

• 한국사회정책
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• v.23 no.2
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• pp.141-172
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• 2016

This study examines the employment conditions and labour experience of elementary after-school care teachers in South Korea. Based on the empirical data collected through in-depth interviews with after-school care teachers in Gwangju Metropolitan City, the study considers multifaceted problems faced by after-school care teachers in their workplace. The after-school care class is part of educational policies initiated and rapidly expanded by the Ministry of Education, resulting in the substantial increase of non-regular school workers. The irregularization of after-school care teachers illustrates that the common problems faced by female non-regular workers, such as social discrimination, exclusion and inequality, are also transplanted into the typical public sector. In the case of Gwangju Metropolitan City, during the past two years there have been evident increases both in under 15-hour short time contract care teachers and outsourcing of care classes. Temporary part-time contract care teachers suffer relentless job insecurity and experience poor working conditions, exclusion and discrimination within the workplace and labour alienation. In order to minimize the organized resistance of care teachers, school authorities implicitly individualize and isolate care teachers through hierarchization, the division of labour and the spatial division of classes between indefinite and temporary contract teachers.

• Informatization Policy
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• v.29 no.2
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• pp.106-126
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• 2022

The digital divide issue is re-emerging in step with the rapid progress of digital transformation. Recently, the discussion of the digital divide is expanding to the point that the difference in digital access and use competency deepens economic and social inequality and discrimination. Notably, the phenomenon of the exclusion and alienation of the elderly from society is a serious matter to be addressed. Accordingly, this research was conducted to provide practical help in minimizing the digital divide through its understanding among the elderly. To this end, both the accomplished capital accumulated and experienced in the course of life and their attitudes toward technology in relation to digital competence capital by the elderly were examined in three dimensions. This analysis was conducted using the results of the '2020 The Report on the Digital Divide'. The target group of the analysis comprised 653 seniors aged 65 and above. As a result of the analysis, digital competence capital among the elderly was affected by both various types of accomplished capital such as educational, income, social, and emotional capital and digital device use attitude. Based on this, this study proposed measures to bridge the digital divide among the elderly.

• Korean Journal of Comparative Education
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• v.27 no.4
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• pp.127-154
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• 2017

EIU has evolved diversely depending on the national environment and culture on the basis of the philosophy of individual human rights and world peace articulated in the "1974 Recommendation on EIU". However, the global environment surrounding EIU has been changed socially, economically, culturally and ecologically in the 21st century, and therefore it is necessary to raise the following questions: Is the concept of EIU initiated for international understanding and cooperation for world peace in the 20th century still valid in the 21st century? Which direction should we take in order for EIU to be efficient in the globalized world? To answer these questions, this study reviewed and analyzed the historical development and current trends of the EIU in the regions of Europe, North America, Asia Pacific area, and Africa. For the empirical study, thirty-four experts in EIU selected from the four regions were interviewed by the researchers. Based on the interviews and the related literature review, it was found that the diverse terms of EIU were used in the four regions and the focus on EIU was different depending on the geographical, historical and social environment of each region. But, despite of the diversity in terminology in EIU, human rights, peace, equity and social justice which are emphasized by UNESCO, were universally taught in EIU. The EIU in these regions is currently dealt with in school education, social education and lifelong education, and particularly global citizenship allowing multiple identities is importantly treated together with citizenship education. Another important aspect of EIU that was commonly found in these four regions was that global citizenship education for solving global problems was coexistent with the reinforcement of nationalism for the economic competency of each nation in a globalized world. The issue of global inequality was particularly dealt with in EIU, and the teaching of voluntary civic involvement and responsibility were particularly emphasized in EIU. Based on these research findings, the study proposes "glocalism", connecting global issues with local issues for solving global problems, as a new approach to the EIU of the 21st century.

• Journal of Intelligence and Information Systems
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• v.27 no.3
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• pp.95-112
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• 2021

In university education, the choice of major class plays an important role in students' careers. However, in line with the changes in the industry, the fields of major subjects by department are diversifying and increasing in number in university education. As a result, students have difficulty to choose and take classes according to their career paths. In general, students choose classes based on experiences such as choices of peers or advice from seniors. This has the advantage of being able to take into account the general situation, but it does not reflect individual tendencies and considerations of existing courses, and has a problem that leads to information inequality that is shared only among specific students. In addition, as non-face-to-face classes have recently been conducted and exchanges between students have decreased, even experience-based decisions have not been made as well. Therefore, this study proposes a recommendation system model that can recommend college major classes suitable for individual characteristics based on data rather than experience. The recommendation system recommends information and content (music, movies, books, images, etc.) that a specific user may be interested in. It is already widely used in services where it is important to consider individual tendencies such as YouTube and Facebook, and you can experience it familiarly in providing personalized services in content services such as over-the-top media services (OTT). Classes are also a kind of content consumption in terms of selecting classes suitable for individuals from a set content list. However, unlike other content consumption, it is characterized by a large influence of selection results. For example, in the case of music and movies, it is usually consumed once and the time required to consume content is short. Therefore, the importance of each item is relatively low, and there is no deep concern in selecting. Major classes usually have a long consumption time because they have to be taken for one semester, and each item has a high importance and requires greater caution in choice because it affects many things such as career and graduation requirements depending on the composition of the selected classes. Depending on the unique characteristics of these major classes, the recommendation system in the education field supports decision-making that reflects individual characteristics that are meaningful and cannot be reflected in experience-based decision-making, even though it has a relatively small number of item ranges. This study aims to realize personalized education and enhance students' educational satisfaction by presenting a recommendation model for university major class. In the model study, class history data of undergraduate students at University from 2015 to 2017 were used, and students and their major names were used as metadata. The class history data is implicit feedback data that only indicates whether content is consumed, not reflecting preferences for classes. Therefore, when we derive embedding vectors that characterize students and classes, their expressive power is low. With these issues in mind, this study proposes a Net-NeuMF model that generates vectors of students, classes through network analysis and utilizes them as input values of the model. The model was based on the structure of NeuMF using one-hot vectors, a representative model using data with implicit feedback. The input vectors of the model are generated to represent the characteristic of students and classes through network analysis. To generate a vector representing a student, each student is set to a node and the edge is designed to connect with a weight if the two students take the same class. Similarly, to generate a vector representing the class, each class was set as a node, and the edge connected if any students had taken the classes in common. Thus, we utilize Node2Vec, a representation learning methodology that quantifies the characteristics of each node. For the evaluation of the model, we used four indicators that are mainly utilized by recommendation systems, and experiments were conducted on three different dimensions to analyze the impact of embedding dimensions on the model. The results show better performance on evaluation metrics regardless of dimension than when using one-hot vectors in existing NeuMF structures. Thus, this work contributes to a network of students (users) and classes (items) to increase expressiveness over existing one-hot embeddings, to match the characteristics of each structure that constitutes the model, and to show better performance on various kinds of evaluation metrics compared to existing methodologies.