• Title/Summary/Keyword: Collaborative Model

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A Collaborative Visual Language

  • Kim, Kyung-Deok
    • Journal of information and communication convergence engineering
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    • v.1 no.2
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    • pp.74-81
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    • 2003
  • There are many researches on visual languages, but the most of them are difficult to support various collaborative interactions on a distributed multimedia environment. So, this paper suggests a collaborative visual language for interaction between multi-users. The visual language can describe a conceptual model for collaborative interactions between multi-users. Using the visual language, generated visual sentences consist of object icons and interaction operators. An object icon represents a user who is responsible for a collaborative activity, has dynamic attributes of a user, and supports flexible interaction between multi-users. An interaction operator represents an interactive relation between multi-users and supports various collaborative interactions. Merits of the visual language are as follows: supporting of both asynchronous interaction and synchronous interaction, supporting flexible interaction between multi-users according to participation or leave of users, supporting a user oriented modeling, etc. For example, an application to a workflow system for document approval is illustrated. So we could be found that the visual language shows a collaborative interaction.

A Study on Improving Efficiency of Recommendation System Using RFM (RFM을 활용한 추천시스템 효율화 연구)

  • Jeong, Sora;Jin, Seohoon
    • Journal of the Korean Institute of Plant Engineering
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    • v.23 no.4
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    • pp.57-64
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    • 2018
  • User-based collaborative filtering is a method of recommending an item to a user based on the preference of the neighbor users who have similar purchasing history to the target user. User-based collaborative filtering is based on the fact that users are strongly influenced by the opinions of other users with similar interests. Item-based collaborative filtering is a method of recommending an item by comparing the similarity of the user's previously preferred items. In this study, we create a recommendation model using user-based collaborative filtering and item-based collaborative filtering with consumer's consumption data. Collaborative filtering is performed by using RFM (recency, frequency, and monetary) technique with purchasing data to recommend items with high purchase potential. We compared the performance of the recommendation system with the purchase amount and the performance when applying the RFM method. The performance of recommendation system using RFM technique is better.

Establishing Model of Optimized Collaboration Procedure using PERT/CPM (PERT/CPM을 이용한 최적화된 협업 프로세스 수립 모형)

  • Lim, Yousup;Chang, Young-Hyeon;Kim, Seunghee
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.18 no.1
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    • pp.173-183
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    • 2018
  • It is a very difficult task to establish a collaborative procedure in a new business that requires multilateral collaboration or to revise the regulation by analyzing and proving objectively the problems in the collaborative process conducted already by multilateral collaboration. In this paper, we proposed an optimization model for collaborative process to establish the operation procedure between collaborative parties using PERT/CPM network diagram which allows us to calculate the processing time. In order to verify the effectiveness and usefulness of our model for the collaboration process optimization developed in this study, we applied the developed collaborative procedure to student selection of the work-and-study-in-parallel course associated with a degree executed by Ministry of Employment and Labor. This study can be useful not only for newly establishing or reconfiguring collaborative procedures but also for standardizing the business procedures for building information systems between collaborative organizations.

Online Collaborative Language Learning for Enhancing Learner Motivation and Classroom Engagement

  • Jeong, Kyeong-Ouk
    • International Journal of Contents
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    • v.15 no.4
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    • pp.89-96
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    • 2019
  • This study examines the impact of online collaborative English language learning to enhance learner motivation and classroom engagement in university English instruction. The role of learner motivation and classroom engagement has gained much attention under the premises of current constructivist framework of English as a foreign language education. To promote learner motivation and classroom interaction in English instruction, participants in this study engaged in integrative English learning activities through online group collaboration and peer-tutoring. They exchanged productive peer response and shared their learning experiences throughout the integrative English learning activities. Digital technology played an integral role in motivating the learning process of the participants. Data for this study were gathered through an online questionnaire survey and semi-structured interviews. The data were analyzed based on the ARCS motivational model of instructional design to identify the motivational aspects of integrative English learning activities. This study reveals that participants of this study regarded online collaborative English learning activities as the positive and motivating learning experience. The online collaborative English reading instruction had positive effect on improving EFL university students' learning performance. Participants of this study also identified affective and metacognitive benefits of online collaborative EFL learning activities for learner motivation and classroom engagement. This study reveals that the social networking platform in online group collaboration played a crucial role for the participants in understanding the integration of online group collaboration as the positive and effective language learning strategy. This study may have implications in suggesting the effective instructional design for promoting learner motivation and classroom interaction in EFL education.

Building a Collaborative Sci-Tech Digital Library (협력 기반 과학기술 디지털도서관 구축에 관한 연구)

  • Lee, Na-Nee;Lee, Mi-Wha;Cha, Mi-Kyeong;Chung, Yeon-Kyoung
    • Journal of the Korean Society for Library and Information Science
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    • v.41 no.2
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    • pp.219-236
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    • 2007
  • This study was to build a collaborative digital library model between KSTI and JST for sharing science and technology information created in Korea and Japan. For this study, digital library framework, it's main concepts and widely-used digital library technologies were investigated. And also, best practices of collaborative digital library were surveyed to characterize collaborative digital library trends. Collaborative Sci-Tech digital library model proposed in this study can be applied in real environment and expanded into other institutions and/or subject areas.

Developing and Applying TMS-Based Collaborative Learning Model for Facilitating Learning Transfer (학습전이 촉진을 위한 교류기억체계(TMS)기반 협력학습모형의 개발과 적용)

  • Lee, Jiwon
    • Journal of The Korean Association For Science Education
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    • v.37 no.6
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    • pp.993-1003
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    • 2017
  • Teachers expect team-based project learning to help students develop collaborative and real-world problem solving skills. In practice, however, students tend to solve problems with simple division of labor, and there is a tendency that learning transfer does not occur in solving problems. The purpose of this study is to develop a collaborative learning model based on the transactive memory system (TMS) and to verify its effectiveness. The collaborative learning model based on the TMS is composed of three stages. The first stage is developing TMS. In this stage, the students learn physics concepts and make knowledge about the expertise of group members through peer instruction. The second stage, activating TMS, is building trust through solving well-defined problems for developing near-transfer. And in the third stage, applying TMS, the students solve an ill-defined problem based on real-world context for practicing far-transfer. Based on this model, a 15-week program including two projects on geometric optics and sound waves was developed and applied to 60 college students. The data for five weeks of one project were collected and analyzed. As a result, the TMS of the experimental group with the TMS-based collaborative learning model improved stepwise. Whereas, the difference between the first week and the last week was statistically significant, while the TMS change of the comparison group using the general project learning model was not significant. Also, the experimental group showed that the learning transfer occurred better in the project than the comparison group. A collaborative learning model based on TMS can be used to learn how students gain synergy through collaboration and how students collaboratively transfer the learned concepts in problem solving.

A Model for the Establishment of the Collaborative Repository for Public Libraries in Korea (공공도서관 공동보존서고 건립모형 연구)

  • Yoon, Hee-Yoon
    • Journal of Korean Library and Information Science Society
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    • v.44 no.3
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    • pp.51-74
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    • 2013
  • The goal of this study is to suggest the models for establishing the collaborative repository for public libraries in Korea. For this purpose, author analyzed the collection space shortage of public libraries, priority of establishment of collaborative repositories by province, key functions and practices to accomplish, and a desirable location. And based on these analysis results, author proposed the basic principles and architectural scales of the collaborative repositories, transfer criteria and ownership of public library' collection, desirable management and operation unit of the collaborative repository. Therefore, the government and all of metropolitan must establish the collaborative repositories as soon as possible.

Dynamic Collaborative Cloud Service Platform: Opportunities and Challenges

  • Yoon, Chang-Woo;Hassan, Mohammad Mehedi;Lee, Hyun-Woo;Ryu, Won;Huh, Eui-Nam
    • ETRI Journal
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    • v.32 no.4
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    • pp.634-637
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    • 2010
  • This letter presents a model for a dynamic collaboration (DC) platform among cloud providers (CPs) that prevents adverse business impacts, cloud vendor lock-in and violation of service level agreements with consumers, and also offers collaborative cloud services to consumers. We consider two major challenges. The first challenge is to find an appropriate market model in order to enable the DC platform. The second is to select suitable collaborative partners to provide services. We propose a novel combinatorial auction-based cloud market model that enables a DC platform among CPs. We also propose a new promising multi-objective optimization model to quantitatively evaluate the partners. Simulation experiments were conducted to verify both of the proposed models.