• Title/Summary/Keyword: collaborative form

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Using Metaverse and AI recommendation services Development of Korea's leading kiosk usage service guide (메타버스와 AI 추천서비스를 활용한 국내 대표 키오스크 사용서비스 안내 개발)

  • SuHyeon Choi;MinJung Lee;JinSeo Park;Yeon Ho Seo;Jaehyun Moon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2023.11a
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    • pp.886-887
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    • 2023
  • This paper is about the development of kiosks that provide four types of service. Simple UI and educational videos solve the complexity of existing kiosks and provide an intuitive and convenient screen to users. In addition, the AR function, which is a three-dimensional form, shows directions and store representative images. After storing user information in the DB, a learning model is generated using user-based KNN collaborative filtering to provide a recommendation menu. As a result, it is possible to increase user convenience through kiosks using metaverse and AI recommendation services. It is also expected to solve digital alienation of social classes who have difficulty using kiosks.

A study on the paradigm shift in National crisis management system and its functional, structural improvements : Focused on the construction of elite civil defense force (국가위기관리체계의 패러다임 변화와 기능 및 구조적 개선방안에 관한 연구 : 정예민방위대 구축을 중심으로)

  • Lee, Mi-Jeong
    • Korean Security Journal
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    • no.33
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    • pp.137-161
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    • 2012
  • There are some common and broad trends in National crisis management system around the world. This article considers that paradigm theoretically. 1) a shift from civil defense to civil protection, 2) 10 principles in sustainable National crisis management system, 3) the collaborative governance of crisis management. Some civil defense problems in National crisis management system are as follows; 1) obscurity of organizational identity through twofold function in civil defense, 2) ineffective organization in civil defense and disaster management system, 3) weakness of competencies in local government, 4) overlook of actual condition in communities and civil defense resources. This article suggests that to provide retired and active private security practitioners, retired law enforcement personnel, and retired military personnel to form a elite civil defense force and to find creative ways to address this pervasive threat which one reasonable and affordable solution would be for the government to take advantage of an existing resource.

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"Belt and Road" and Arbitration Law Teaching and Education System Theory

  • Fuyong, Zhu
    • Journal of Arbitration Studies
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    • v.30 no.3
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    • pp.47-66
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    • 2020
  • Due to the division of China's departmental laws, the disconnect between theory and practice, and the influence of traditional academic thinking on the understanding of the knowledge structure of arbitration legal talents in practice, the construction of law school colleges, teaching teams, and research centers mostly revolves around departmental laws, tearing the connection of the arbitration legal system. The student-centered, process-guaranteed, and result-oriented arbitration master of law training model is "virtualized," the shaping of arbitration professionalism is ignored, the coverage of practical teaching is narrowed, and the arbitration legal profession is mostly formalized. The prevalence of specialized curriculum systems shortage, single faculty, formalized practical teaching, outdated curriculum settings, unsuitable curriculum system design for development, and inaccurate professional curriculum standards and positioning renders it difficult to integrate the "Belt and Road." The cutting-edge, the latest research results, and practical experience cannot reflect the connotation, goals, and requirements of "Entrepreneurship" education, as well as arbitral issues such as the ineffective monitoring of practical education and the inconsistent evaluation of standards and scales. Under the background of the "Belt and Road," based on system theory and practice and through training goals that innovate and initiate organizational form, activity content, management characteristics, assessment and support conditions, etc., the arbitration law teaching curriculum system is gradually improved and integrated. Through the establishment of a "Belt and Road" arbitration case file database and other measures, a complete arbitration law theory and practice teaching guarantee system has been established. Third parties are introduced, arbitration law experimental modules are developed, students are guided how to discover new knowledge, new contents are mastered, solidarity, cooperation, and problem-solving capabilities are cultivated in the practice of the "Belt and Road," and quality education, vocational education, and innovation education are organically integrated. In order to implement the requirements of arbitration law education, innovation development and collaborative management of arbitration law teaching practice base should be cultivated, thus giving full play to the effect of collaborative education between universities and arbitration institutions.

The Effects of Reflection Rubric on Critical Thinking and Collaboration Argumentation in CSCA environment (CSCA 환경에서 성찰루브릭이 비판적 사고와 협력적 논증에 미치는 영향)

  • Kim, Soo Hyun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.14 no.11
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    • pp.5559-5569
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    • 2013
  • The purpose of this study was to examine the effect of the reflection rubric on frequency and content of critical thinking in CSCA. The researcher carried out research during 4 weeks, on 60 students taking the course of 'educational methods and educational technology' in K collage. As the result of this study, The reflection rubric frequency could not be significant difference in critical thinking, but could be significant difference in critical thinking content and collaboration argumentation. The reflection rubric could prevent learner form giving one side reasoning, considered both side opinion and grounds. Also the reflection rubric could trigger learner to construct collaborative knowledge building more strongly. This study showed that the reflection rubric have significant impacts on the argumentation collaboration learning in CSCA.

A Study on Personality Types and Learning Styles of the Gifted in Mathematics and Sciences (초등학교 수학 및 과학 영재와 일반아동의 학습양식과 성격유형의 차이 연구)

  • 김판수;강승희
    • School Mathematics
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    • v.5 no.2
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    • pp.191-208
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    • 2003
  • The purpose of this paper is to find the differences of personality types and learning styles of general students(69) and the gifted in mathematics(66) and sciences(66). 132 subjects, whose academic achievements are in top 1 % level in elementary schools, were selected from the gifted center of the university in Busan. MMTIC(Murphy-Meisgeir Type Indicator for Children) was used to classify personal style inventory(E-I, S-N, T-F and J-P). Adapted form of Grasha & Reichmann's learning style was used to classify 3 pairs: dependent-independent, competitive-collaborative, avoidant-participant. In this paper, we were mainly concerned with the differences of learning styles, and personal types of three groups according to as indices, functions and temperament. One of our results was that there were differences of personality types between general students and the gifted in mathematics and sciences according to as indices, functions and temperament. And there were differences of learning style between three groups according to as dependent-independent, and avoidant-participant.. The gifted in mathematics and sciences prefer to independent and participant learning style in comparison with general students. Finally, there were relation of personality types and learning styles. According to functions and temperament of MMTIC, SF (sensation-feeling) and NF(intuition-feeling) type students prefer to collaborative and participant styles in comparison with ST (sensation-thought) and NT(intuition-thought) type students. And NT(intuition-thought) type students prefer to avoidant styles in comparison with SF(sensation-feeling) and NF(intuition-feeling) type students.

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Collaborative Digital Storytelling based on Collective Intelligence through Contest (공모전을 통한 집단지성 기반의 협업적 디지털 스토리텔링)

  • You, Eun-Soon;Park, Seung-Bo;Lee, Yeon-Ho;Jo, Geun-Sik
    • The Journal of the Korea Contents Association
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    • v.10 no.12
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    • pp.120-128
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    • 2010
  • Web development and digital technology enable users not only to consume contents but also to produce and share it through using various media. Thus, since personal needs for contents are increased, the interest in environment and technology for creating digital contents is growing. Because of existing digital contents technology such as writing tool or digital storyboard have focused on the individual creation, it is hard to induce participation and collaboration of other users and sharing and reusing contents. Therefore, we suggest a new form of collaborate digital storytelling using the concept of the collective intelligence through contest. Most of all, we develop writing tool and storyboard tool in order to facilitate participants to produce online contents. Also, distinguished from previous contest, this contest considers not only content output but also collaborative process for making it.

A Study of Collaboration Service Model for Supporting Functional Resources in Smart Device (스마트 단말기 상의 기능적 지원을 위한 협업 서비스 모델 연구)

  • Song, Sumi;Yoon, YongIk
    • KIPS Transactions on Computer and Communication Systems
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    • v.4 no.5
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    • pp.161-170
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    • 2015
  • This research aims to propose new direction of mobile collaborative service by supplying functional supports which surpass data resource in smart devices. In this paper, we present Smart Collaboration Service Model that supports two types of collaboration, so called Supplying Collaboration and Sharing Collaboration. This model is a platform for supporting the resources as follows; sharing of data contact in other devices and supplying of special functions, like camera operation and picture transmission from other devices. To show its applicability, a prototype of Smart Collaboration Service Model has been implemented in the Android application for exchanging contact data and renting camera function. We expect that Smart Collaboration Service Model is to help the emergence for a new type of collaboration service. Also, user can reduces resource wastes for device as well as form personal smart space by utilizing all devices owned.

Information-Based Urban Regeneration for Smart Education Community (스마트 교육 커뮤니티 정보기반 도시재생)

  • Kimm, Woo-Young;Seo, Boong-Kyo
    • Journal of the Architectural Institute of Korea Planning & Design
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    • v.34 no.12
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    • pp.13-20
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    • 2018
  • This research is to analyze the public cases of information facilities in terms of central circulations in multi level volumes such as atrium or court which provide visual intervention between different spaces and physical connections such as bridges. Hunt Library design balances the understood pre-existing needs with the University's emerging needs to create a forward-thinking learning environment. While clearly a contemporary structure within a traditional context of the NCSU campus, the Hunt Library provides a positive platform for influencing its surroundings. Both technical and programmatic innovations are celebrated as part of the learning experience and provide a versatile and stimulating environment for students. Public library as open spaces connecting to an interactive social domain over communities can provide variety of learning environments, or technology based labs. There are many cases of the public information spaces with dynamic networks where participants can play their roles in physical space as well as in the intellectual stimulation. In the research, new public projects provide typologies of information spaces with user oriented media. The research is to address a creative transition between the reading space and the experimental links of the integration of state-of-the-art technology is highly visible in the building's design. The user-friendly browsing system that replaces the traditional browsing with the virtual shelves classified and archived by their form, is to reduce the storage space of the public library and it is to allow more space for collaborative learning. In addition to the intelligent robot of information storages, innovative features is the large-scale visualization space that supports team experiments to carry out collaborative online works and therefore the public library's various programs is to provide visitors with more efficient participatory environment.

Deep Learning-based Text Summarization Model for Explainable Personalized Movie Recommendation Service (설명 가능한 개인화 영화 추천 서비스를 위한 딥러닝 기반 텍스트 요약 모델)

  • Chen, Biyao;Kang, KyungMo;Kim, JaeKyeong
    • Journal of Information Technology Services
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    • v.21 no.2
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    • pp.109-126
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    • 2022
  • The number and variety of products and services offered by companies have increased dramatically, providing customers with more choices to meet their needs. As a solution to this information overload problem, the provision of tailored services to individuals has become increasingly important, and the personalized recommender systems have been widely studied and used in both academia and industry. Existing recommender systems face important problems in practical applications. The most important problem is that it cannot clearly explain why it recommends these products. In recent years, some researchers have found that the explanation of recommender systems may be very useful. As a result, users are generally increasing conversion rates, satisfaction, and trust in the recommender system if it is explained why those particular items are recommended. Therefore, this study presents a methodology of providing an explanatory function of a recommender system using a review text left by a user. The basic idea is not to use all of the user's reviews, but to provide them in a summarized form using only reviews left by similar users or neighbors involved in recommending the item as an explanation when providing the recommended item to the user. To achieve this research goal, this study aims to provide a product recommendation list using user-based collaborative filtering techniques, combine reviews left by neighboring users with each product to build a model that combines text summary methods among deep learning-based natural language processing methods. Using the IMDb movie database, text reviews of all target user neighbors' movies are collected and summarized to present descriptions of recommended movies. There are several text summary methods, but this study aims to evaluate whether the review summary is well performed by training the Sequence-to-sequence+attention model, which is a representative generation summary method, and the BertSum model, which is an extraction summary model.

A Comparative Analysis of Personalized Recommended Model Performance Using Online Shopping Mall Data (온라인 쇼핑몰 데이터를 이용한 개인화 추천 모델 성능 비교 분석)

  • Oh, Jaedong;Oh, Ha-young
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.9
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    • pp.1293-1304
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    • 2022
  • The personalization recommendation system means analyzing each individual's interests or preferences and recommending information or products accordingly. These personalized recommendations can reduce the time consumers spend searching for information by accessing the products they need more quickly, and companies can increase corporate profits by recommending appropriate products that meet their needs. In this study, products are recommended to consumers using collaborative filtering, matrix factorization, and deep learning, which are representative personalization recommendation techniques. To this end, the data set after purchasing shopping mall products, which is raw data, is pre-processed in the form of transmitting the data set to the input of the recommended system, and the pre-processed data set is analyzed from various angles. In addition, each model performs verification and performance comparison on the recommended results, and explores the model with optimal performance, suggesting which model should be used when building the recommendation system at the mall.