• 한국노년학
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• v.41 no.4
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• pp.587-609
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• 2021

The purpose of this study was to investigate parenting experiences among grandmothers raising their grandchildren from grandmothers' perspective, and a variety of their physical health, psychological and social challenges they were facing in everyday life. In addition, this study explored new issues, changes, and difficulties grandparents and their grandchildren were going through during the COVID-19 pandemic. Seven grandmothers raising their grandchildren without their cohabiting parents participated in an in-depth interview, and the qualitative date were obtained using semi-structured questionnaires. Analyses identified 5 main categories: 1) my emotion, worries, and coping with parenting grandchildren, 2) difficulties and obstacles facing in real life of the parenting, 3) conflicts and coping with growing grandchildren who showed new characters, 4) relationships and emotions among grandparents, parents, and grandchildren, and 5) needs and desires toward social services and support. Sixteen themes and 60 sub-themes were also derived. The majority of grandmothers expressed diverse difficulties in their dail y lives including ambivalent emotions regarding grandchild-rearing(rewards and burden), economic hardships, physical health limitations, and a lack of communications with their grandchildren. Further, findings indicated profound generation conflicts which had been even deepened during school close period in COVID-19 pandemic and had been associated with increased hours of using internet and playing computer games. The top priority of the social service needs among interviewed grandmothers was learning support for their grandchildren. Emotional support and social support to cover their lack of family interactions, and financial support were the next of their desired social services. Implications to improve social services for grandparent-headed families are discussed.

• Journal of Practical Engineering Education
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• v.13 no.3
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• pp.545-558
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• 2021

As the "Partial Amendment to the Vocational Competency Development Act" was passed, and the mandatory refresher training was legislated in March 2020, HRD education institutions has prepared a plan for the improved refresher training to strengthen the competency of vocational training teachers and to improve the quality of refresher training. However, as demand for refresher training is concentrated in partial occupations, it is necessary prepare a separate plan to recognize personal learning as a refresher training for a minority of teachers who are not provided with a training. Therefore, this study aims to identify areas of a minor training occupations that don't exist many participants for a refresher training and to derive ways to recognize their multiple education experiences and participations instead of attending a refresher training. To this end, literature review, analysis of current situation, consultation with stakeholders, and written interviews with experts were conducted. As a result, a minority of training occupations was defined as type 1 and type 2 and ways of the recognition of refresher training for minority of training occupations which embrace various educational types were derived. Lastly, discussions and suggestions on the expansion of the scope of the recognition of refresher training for minority of training occupations were provided.

• The Journal of the Convergence on Culture Technology
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• v.7 no.2
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• pp.177-184
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• 2021

This study aims to develop the model of needs analysis for lifelong education program in order to verify social needs as well as personal needs. The overall process of this study is as follows. Firstly, a questionaire based on six mode classification of lifelong education program was invented in order to apply to program development. Secondly, a questionaire was designed to evaluate personal needs and social needs simultaneously. Thirdly, t-test, needs analysis of Borich model, and the Locus for Focus model were conducted with a view to analyze the difference between personal needs and social needs. As a result, there showed the categories of education which are high in both personal and social needs, whereas a category like certification program is higher in social needs rather than in personal needs. The results represent the necessities of promoting programs which are high in social needs even if there is no personal needs. Therefore the needs survey and the needs analysis need to be conducted to find out not only personal needs but also social needs.

• Journal of Intelligence and Information Systems
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• v.29 no.1
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• pp.327-351
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• 2023

This paper aims to derive success factors that successfully lead an artificial intelligence (AI) project and prioritize importance. To this end, we first reviewed prior related studies to select success factors and finally derived 17 factors through expert interviews. Then, we developed a hierarchical model based on the TOE framework. With a hierarchical model, a survey was conducted on experts from AI-using companies and experts from supplier companies that support AI advice and technologies, platforms, and applications and analyzed using AHP methods. As a result of the analysis, organizational and technical factors are more important than environmental factors, but organizational factors are a little more critical. Among the organizational factors, strategic/clear business needs, AI implementation/utilization capabilities, and collaboration/communication between departments were the most important. Among the technical factors, sufficient amount and quality of data for AI learning were derived as the most important factors, followed by IT infrastructure/compatibility. Regarding environmental factors, customer preparation and support for the direct use of AI were essential. Looking at the importance of each 17 individual factors, data availability and quality (0.2245) were the most important, followed by strategy/clear business needs (0.1076) and customer readiness/support (0.0763). These results can guide successful implementation and development for companies considering or implementing AI adoption, service providers supporting AI adoption, and government policymakers seeking to foster the AI industry. In addition, they are expected to contribute to researchers who aim to study AI success models.

• Journal of the Korean Society for information Management
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• v.40 no.1
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• pp.1-21
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• 2023

This study specifically reviewed the performance of the ranking schemes as an efficient feature selection method for text classification. Until now, feature ranking schemes are mostly based on document frequency, and relatively few cases have used the term frequency. Therefore, the performance of single ranking metrics using term frequency and document frequency individually was examined as a feature selection method for text classification, and then the performance of combination ranking schemes using both was reviewed. Specifically, a classification experiment was conducted in an environment using two data sets (Reuters-21578, 20NG) and five classifiers (SVM, NB, ROC, TRA, RNN), and to secure the reliability of the results, 5-Fold cross-validation and t-test were applied. As a result, as a single ranking scheme, the document frequency-based single ranking metric (chi) showed good performance overall. In addition, it was found that there was no significant difference between the highest-performance single ranking and the combination ranking schemes. Therefore, in an environment where sufficient learning documents can be secured in text classification, it is more efficient to use a single ranking metric (chi) based on document frequency as a feature selection method.

• 한국정보교육학회:학술대회논문집
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• 2021.08a
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• pp.85-91
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• 2021

School violence has long been recognized as a social problem, and various efforts have been made to prevent it. In this study, we propose a system that can prevent school violence by analyzing data on the frequency of conversations between students, and identify peer relationships. The frequency of conversations between students in the class was quantified using a rating scale questionnaire, and this data was grouped into the appropriate number of clusters using the K-means algorithm. Additionally, the homeroom teacher observed the frequency and nature of conversations between students, and targeted specific individuals or groups for counseling and intervention, with the aim of reducing school violence. Data analysis revealed that the teachers' qualitative observations were consistent with the quantified data based on student questionnaires, and therefore applicable as quantitative data towards the identification and understanding of student relationships within the classroom. The study has potential limitations. The data used is subjective and based on peer evaluations which can be inconsistent as the students may use different criteria to evaluate one another. It is expected that this study will help homeroom teachers in their efforts to prevent school violence by understanding the relationships between students within the classroom.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.6
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• pp.51-70
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• 2022

This study examined whether learner-customized start-up education, such as business consulting, functions effectively as part of universities' start-up support and whether business consulting positively strengthened start-up capabilities compared to consulting from other institutions. Furthermore, it explored the direction of universities' start-up support development by harnessing customized education, such as business consulting. The results of the study are as follows. First, business consulting had a positive impact. It informed the shortcomings of individual founders (teams) and identified the direction for improvement. Second, compared to consulting from other institutions, the fact that it formed a relationship between the consultant and the student beyond the business relationship and that it was conducted for free on campus have a relative advantage. Such business consulting enabled university students to see the world more maturely. Third, this study argues that customized start-up businesses can generate synergy with school curriculum and other non-curricular subjects. Based on this perception, it designed a method to build a co-curriculum education system. This study is significant because it investigated satisfaction and the possibility of a customized start-up business with business consulting as a representative case, exploring the direction of support for start-up education students want.

• Journal of The Korean Association For Science Education
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• v.27 no.4
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• pp.318-327
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• 2007

The purpose of this study is to examine the effects of small-scale chemistry(SSC) laboratory activities implemented in high school chemistry II classes on the students' inquiry process skills and science-related attitudes. For this study, 112 students in the 12th grade were chosen and divided into an experimental and a control group. Seven SSC lab programs that can replace the traditional experiments in chemistry II textbooks were selected and administered to the experimental group while the traditional textbook experiments were administered to the control group. The results showed that there was a significant difference in the enhancement of inquiry process skills between the two groups while no significant difference was found in science-related attitudes. Further analysis showed that the difference in the inquiry process skills came from the basic inquiry process skills. The experimental group students thought that the SSC experiments have many advantages compared to the traditional experiments, e.g., individual work, learning lab and theory in parallel, short experiment time, safety, environmental aspects, etc. These results suggest that the SSC lab programs are valuable in high school chemistry classes and developing and distributing various SSC lab programs is needed to replace the traditional experiments in the current textbooks.

• Journal of The Korean Association For Science Education
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• v.28 no.8
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• pp.901-921
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• 2008

The purpose of this study was to investigate elementary teachers' views on the barriers in implementing inquiry-based instruction in science education. For this, semi-structured in-depth interviews were performed with 22 elementary school teachers who have served for more than five years in the Gyeonggi province. The interview questions were developed through triangulation of Seidman's phase to achieve reliability in the interview data, then interview questions were modified and completed through an analytic induction method in pre-interviews. In-depth interviews were performed individually and all the interviews were recorded. The data of teachers' views on the barriers were categorized and analyzed into external and internal factors of teachers. The study found that the external factors referred by teachers included the following; the lack of a unit time, lack of materials and equipments, too many students in a class, problems in science curriculum management, difficulty in the assessment of students' inquiry activities, the students' learning, lack of opportunities for teaching inquiry activities, harmfulness of accidents, and so on. Internal factors included the following; lack of preparation for inquiry activities, lack of self-confidence, lack of patience, and so on. The various barriers presented and their causes were analyzed in detail, and possible efforts in activating inquiry activities in elementary science education were suggested.

• The Journal of the Acoustical Society of Korea
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• v.25 no.6
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• pp.277-281
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• 2006

This paper presents a method for the automatic recognition of pitch accents over syllables. The method that we propose is based on the time-delay recursive neural network (TDRNN). which is a neural network classifier with two different representation of dynamic context: the delayed input nodes allow the representation of an explicit trajectory F0(t) along time. while the recursive nodes provide long-term context information that reflects the characteristics of pitch accentuation in spoken English. We apply the TDRNN to pitch accent recognition in two forms: in the normal TDRNN. all of the prosodic features (pitch. energy, duration) are used as an entire set in a single TDRNN. while in the distributed TDRNN. the network consists of several TDRNNs each taking a single prosodic feature as the input. The final output of the distributed TDRNN is weighted sum of the output of individual TDRNN. We used the Boston Radio News Corpus (BRNC) for the experiments on the speaker-independent pitch accent recognition. π 1e experimental results show that the distributed TDRNN exhibits an average recognition accuracy of 83.64% over both pitch events and non-events.