• Title/Summary/Keyword: Future Research Direction

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Exploring the Direction of Home Economics Education in Preparation for the Generalization of a One-Person Household (1인 가구 시대의 가정과교육 방향 탐색)

  • Park, Mi Jeong
    • Human Ecology Research
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    • v.57 no.1
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    • pp.73-89
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    • 2019
  • This study explores the social phenomenon of the universalization of one-person households through a literature analysis and text mining in order to explore a future direction for Home Economics Education(HEE) development in the one-person household era. From 2010 to 2018, texts from newspaper articles and book content of one-person households were analyzed through R program. The results of the study are as follows. In order to develop students' competency to live a happy life in the one-person household era, it is necessary to: (1) expand the preemptive and collaborative research of HEE, (2) develop and operate a curriculum to raise the living competency to live alone, (3) expand opportunities for secondary school students as well as off-campus youth, middle-aged, and elderly students, and (4) develop various HEE's elective curriculum focusing on the ability to live as one-person household. Also, (5) in order to overcome the psychological and social poverty and isolation of one-person households, HEE should strengthen the learner's ability to form relationships through self-esteem, care of others, community life, communication and conflict resolution education. In conclusion, HEE's independent living competency, relationship formation competency, and practical problem solving competency are all necessary competencies to live in one-person households. In this study, it is meaningful to suggest a future direction for HEE and to use new research methods such as word cloud techniques in the absence of HEE's previous research in relation to the increase of one-person households.

Multiresponse Optimization: A Literature Review and Research Opportunities (다중반응표면최적화 : 현황 및 향후 연구방향)

  • Jeong, In-Jun
    • Journal of Korean Society for Quality Management
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    • v.39 no.3
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    • pp.377-390
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    • 2011
  • A common problem encountered in product or process design is the selection of optimal parameter levels which involves simultaneous consideration of multiple response variables. This is called a multiresponse problem. A multiresponse problem is solved through three major stages: data collection, model building, and optimization. Up to date, various methods have been proposed for the optimization, including the desirability function approach and loss function approach. In this paper, the existing studies in multiresponse optimization are reviewed and a future research direction is then proposed.

A Study on Exploring Direction for Future Education for the Common Good Based on Big Data (빅데이터 기반 공동선 증진을 위한 미래교육 방향성 탐색 연구)

  • Kim, Byung-Man;Kim, Jung-In;Lee, Young-Woo;Lee, Kang-Hoon
    • Journal of Convergence for Information Technology
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    • v.12 no.2
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    • pp.37-46
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    • 2022
  • The purpose of this study is to provide basic data onto preparing soft landing plan of future education policy by exploring direction of future education for the common good using big data and keyword network analysis. Based on the big data provided by Textom, data was collected under the keyword 'future education + common Good' and then keyword network analysis was performed. As a result of the research, it was found that 'common good', 'social', 'KAIST future warning', 'measures', 'research', 'future education', 'politics' were common keywords in the social awareness of future education for the common good. The results of this study suggest that the social awareness of future education for the common good is related to factors related to human, physical environment, social response, academic interest, education policy, education plan, and related variables, It was closely related. Based on these results, we suggested implications for the support for the preparation of a soft landing plan of future education for the common good.

The Study on CGF Behavior Modeling Methodologies for Defense M&S: Focusing on Survey and Future Direction (국방 M&S의 가상군 행위 모델링 방법론 연구: 조사와 미래방향을 중심으로)

  • Cho, Namsuk;Moon, Hoseok;Pyun, Jai Jeong
    • Journal of the Korea Society for Simulation
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    • v.29 no.2
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    • pp.35-47
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    • 2020
  • Immediate and serious attention on CGF(computer generated forces) behavior modeling for defense M&S (modeling & simulation) is required in response to the reduction in the number of troops and development of 4th industrial technologies. It is crucial for both military person and engineer to understand such technologies. The research aims to provide guidelines for establishment of research direction on CGF behavior modeling. We investigate traditional and/or novel methodologies such as rule-based, agent-based, and learning-based method. Discussions on future direction of applicable area and strategies are followed. We expect that the research plays a key role for understanding CGF behavior modeling.

Current Status and Direction for Future Development of Evidence-based Nursing in Korea (국내 근거기반간호의 현황과 발전 방향)

  • Choe, Myoung-Ae;Bang, Kyung-Sook;Park, Yeon-Hwan;Kang, Hyun-Ju
    • Perspectives in Nursing Science
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    • v.8 no.2
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    • pp.129-138
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    • 2011
  • Purpose: The purpose of this study was to identify the current status of evidence-based research, education, and practice, and to suggest a directions for the future development of evidence-based nursing. Methods: To examine the current status of evidence-based nursing research, experimental research among studies published in the Journal of Korean Academy of Nursing from 2008 to 2010 were analyzed. We suggested a direction for the future development of evidence-based research based on the analysis and literature reviews. We also suggested a direction for the future development of evidence-based education and practice based on literature reviews. Results: The results showed that designs and methods of studies were insufficient to use evidences derived from the studies in terms of evidence-based research, and experimental studies consistent with themes were found to be deficient. In the future, the methods and rationale for the design of experimental studies need to be clearer In addition, a test for intervention effects through repetitive studies and a connection between the intervention effects and a protocol for clinical practice will be required. In terms of evidence-based education, curriculum revision and development of teaching methods including contents related to evidence-based practice and research methodology in undergraduate and graduate programs will be required. Evidence-based practice in Korea was less actively done than with that of foreign countries. Some large hospitals have recently attempted systemic activities to promote evidence-based nursing practice in clinical settings. To activate evidence-based practice, the perception of nurses for evidence-based practice needs to be changed and support for education and administration of the program is required. Also, evidence-based practice guidelines, protocols, and assessment tools need to be developed. Conclusion: Evidence-based nursing in Korea is in the process of evolving. To realize evidence-based nursing, we need to develop nursing science based on evidences of closer communication and cooperation in terms of nursing research, education, and practice.

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The Impacts of Organizational Culture on Organizational Commitment: Evidence from Vietnamese Garment Companies

  • PHAM, Ngoc Thi Kim
    • The Journal of Asian Finance, Economics and Business
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    • v.9 no.9
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    • pp.339-350
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    • 2022
  • The purpose of the study is to determine how organizational culture affects employees' organizational commitment in Vietnamese clothing enterprises. Quantitative research through a questionnaire survey was applied in this research. A Survey of employees of Vietnamese garment companies in Hanoi was conducted from May 2021 to August 2021. The questionnaire was built from reference to previous studies and transferred to Google form. 315 returned questionnaires were usable. The statistical software SPSS 20.0 was used to test the reliability of the scale (Cronbach alpha), exploratory factor analysis (EFA), and regression analysis. The Organizational culture is constructed by 8 components including Organizational Communication, Training and development, Reward and Recognition, Teamwork orientation, Decision-making, Innovation and risk-taking, Direction and future planning, and Leader behavior. Organizational commitment is constructed by 3 components such as affective commitment, continuance commitment and normative commitment. Findings show that organizational culture has a strong impact on organizational commitment in Vietnamese garment companies. Research provides recommendations on developing a good organizational culture through forming suitable leadership, effective organizational communication, training and development, reward and recognition, and a clear direction and future planning to enhance employee commitment to the organization and increase the garment company's performance in the future.

Predicting Future Technology Development in the Fusional Aspect of Brain Science and Artificial Intelligence (뇌과학과 인공지능 융합 미래 기술 발전 방향 예측)

  • Yoon, C.W.;Huh, J.D.
    • Electronics and Telecommunications Trends
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    • v.33 no.1
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    • pp.1-10
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    • 2018
  • Artificial intelligence, which is based on deep learning, is emerging as a fundamental technology that will bring about future social changes. Artificial intelligence technology in IT is an essential intelligent system, and will overcome the performance limit of computing systems, and is expected to be the foundation for the development of computing environment destructively. The development of artificial intelligence technology in developed countries is a direction toward convergence with brain science. In this article, we will look at the prospect of artificial intelligence as the manifestation of imagination, as well as the technology and policy trends of artificial intelligence both at home and abroad, and discuss the direction of future technology development in terms of fusion with brain science.

Applications and Challenges of Deep Learning and Non-Deep Learning Techniques in Video Compression Approaches

  • K. Siva Kumar;P. Bindhu Madhavi;K. Janaki
    • International Journal of Computer Science & Network Security
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    • v.23 no.6
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    • pp.140-146
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    • 2023
  • A detailed survey, applications and challenges of video encoding-decoding systems is discussed in this paper. A novel architecture has also been set aside for future work in the same direction. The literature reviews span the years 1960 to the present, highlighting the benchmark methods proposed by notable academics in the field of video compression. The timeline used to illustrate the review is divided into three sections. Classical methods, conventional heuristic methods, and current deep learning algorithms are all used for video compression in these categories. The milestone contributions are discussed for each category. The methods are summarized in various tables, along with their benefits and drawbacks. The summary also includes some comments regarding specific approaches. Existing studies' shortcomings are thoroughly described, allowing potential researchers to plot a course for future research. Finally, a closing note is made, as well as future work in the same direction.