• Journal of Educational Research in Mathematics
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• v.12 no.1
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• pp.109-124
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• 2002

This study investigated various effects of WBD(web-based discussion) on mathematical communication, interaction and problem solving in the classroom. We developed a web site including BBS and chat room in order to encourage students' mathematical curiosities and self-studies. The web site had been operated for 6 months. Five classes of 1st grade students were selected from an middle school in Daejon. Moreover, we analyzed several cases for interactional behavior and effect. WBD promote dialogue between a teacher and students. Analysis of feed-back from BBS revealed that student's negative attitudes could be changed to positive ones by step-by-step discussions. Moreover, collaborative learning is enhanced by on-line discussion. But the effects of WBD are affected by the character and ability of a student.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.2 no.2
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• pp.103-119
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• 2008

Traditional web-based services that require users to browse via documents and fill out forms, are difficult to use with mobile devices. Moreover, as the web paradigm assumes active clients, further complications are introduced in cases where the server is the active entity, instead of the client. This paper presents a Server-Centric Interaction Architecture (SCIA) for wireless applications. The architecture enables servers to initiate communication with clients as well as push secure targeted data to them, in a piecemeal fashion. It further enables the development of highly collaborative wireless services with interactive user interfaces.

• Journal of the Korean Chemical Society
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• v.66 no.1
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• pp.15-30
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• 2022

The purpose of this study was to examine interactions among components of pedagogical content knowledge of middle school science teachers in a teacher learning community targeting science practice-based instruction. Data collection consisted of pre and post questionnaire and interview with each of five science teachers, audio-recording of teacher discussion in a teacher learning community, lesson plans, teacher written reflection, and video-recording of teaching practice. Qualitative data analysis revealed that there were two types of interactions, i.e., one-way interaction and two-ways interaction among components of pedagogical content knowledge of science teachers in a teacher learning community. There were also consecutive interactions as well as one-shot interaction. For two-ways interaction there were synchronous two-ways interaction in a teacher learning community meeting as well as consecutive two-ways interaction along with several meetings. This study provides implications that collaborative learning context in a teacher learning community should stimulate various types interactions among components of pedagogical content knowledge.

• Journal of the Korean Geographical Society
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• v.37 no.4
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• pp.425-441
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• 2002

This study focused on the geographical concepts development and its zone of proximal development(ZPD) through the collaborative interaction. Among the conclusions are: 1) Students who have higher cognitive structure represented the Creator Seoul Metropolitan Area(GSMA) as a geographical concepts, not as a spontaneous concepts. The concepts is developed from concrete facts, subordinate element concept to basic element concept hierarchically. The most difficult concept that the learner should internalize was represented as the basic element concept. 2) Although ZPD of GSMA is individualized, it could be divided into 9 types. The ZPD was developed differently according to the qualitative differences how much more and how systematically represented the geographical concepts. The characteristics shown in this development procedure was that there was a quality change based on quantity extensive.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.3
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• pp.177-190
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• 2020

This study aims to present explicit findings from an internal perspective, namely the interaction patterns of marketing communication between pentahelix elements and testing the expectations of tourists towards tourism activities through a simulation model between variables. This study is divided into two methods of analysis, namely qualitative explorative, where the study aims to invest in communication patterns and patterns of interaction between pentahelix stakeholders in Sitiwinangun Tourism Village, West Java, Indonesia with involve 17 informants who came from pentahelix elements (Government, academics, community, business and media). Second, quantitative method to measure the extent of effectiveness rather than collaboration activities and the role of marketing communication to tourist satisfaction is done by an analytical approach involving 30 tourists through customer satisfaction surveys. The results of this study illustrate that the involvement of each pentahelix element has not been maximized. The pattern of interaction and communication between elements also shows the gap between interests, expectations, and reality. This study provides a real picture that to realize a tourism program that is profitable, holistic, and sustainable requires collaboration that is wrapped with transparent and interactive communication patterns. The marketing communication concept approach combined with collaboration theory between stakeholders can be useful for sustainable tourism.

• Journal of Korea Society of Digital Industry and Information Management
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• v.6 no.3
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• pp.19-29
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• 2010

A marketing model is changed from a customer acquisition to customer retention and it is being moved to a way that enhances the quality of customer interaction to add value to our customers. Such personalization is emerging from this background. The Web site is accelerate the adoption of a personalization, and in contrast to the rapid growth of data, quantitative analytical experience is required. For the automated analysis of large amounts of data and the results must be passed in real time of personalization has been interested in technical problems. A recommendation algorithm is an algorithm for the implementation of personalization, which predict whether the customer preferences and purchasing using the database with new customers interested or likely to purchase. As recommended number of users increases, the algorithm increases recommendation time is the problem. In this paper, to solve this problem, a recommendation system based on clustering and dimensionality reduction is proposed. First, clusters customers with such an orientation, then shrink the dimensions of the relationship between customers to low dimensional space. Because finding neighbors for recommendations is performed at low dimensional space, the computation time is greatly reduced.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.1
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• pp.1-8
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• 2010

It is required to polish the components of administrative services constructively and technologically in order to achieve adminstration the u-Gov pursues. Therefore, the government needs to provide management on united information by combining collaborative construction and Convergence technology. This is called to be UT based positioning system. The system ought to be spread out and is contributed to enlarge interaction. For these reasons, in this paper, I embodied the fundamental st겨cture of new the service application through drawing UT based requirements for an establishment of its prototype.

• The Journal of the Korea Contents Association
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• v.5 no.6
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• pp.309-318
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• 2005

Learners show lower cooperation and responsibility at e-Learning(Electronic Learning) than face-to-face learners in class. Accordingly the LMS(Learning Management System) focus on collaborative learning design in order to promote the learner's interaction. In this paper, the Experience Learning Support System with JXTA-based P2P(Peer-to-Peer) architecture is proposed for an effective collaborative learning and a blended learning. It intends learners to develop a self-leading learning ability and a creative problem-solving ability through experience learning object's sharing. The experimental results described that the proposed system was more effective in an enhancing learner's learning ability and a cooperative learning than existing system.

• International Journal of Contents
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• v.14 no.2
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• pp.16-23
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• 2018

Although there have been studies regarding the influence of customer reviews on consumer decision making at online shopping sites, research on factors affecting the perceived customer review quality for online shopping sites is limited. This study posits that sociability, which is one of the environmental factors of an online shopping site, can affect the quality of customer reviews. Sociability is a key factor in building a collaborative environment online, but studies have been limited to applying sociability to customer reviews that are the result of a collaborative environment. This study expects that sociability affects the performance of online shopping sites through the perceived information quality of customer reviews, and customers' efficacy. More specifically this study investigates the structural relationship between sociability, self-efficacy, collective efficacy, and the perceived information quality of the reviews in an online shopping context, regarding the patronage intention of customers. This study was conducted using a survey of 361 college students. The structural equation model results indicate that user perception of sociability increases self-efficacy and collective efficacy. The improved efficacy enhances the perceived information quality of reviews for online shopping sites, which increases patronage intention of customers. This study found that online shopping sites require a platform for customers to engage in social interaction to enhance their customers' loyalty and lifetime value.

• Journal of Information Processing Systems
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• v.17 no.5
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• pp.905-917
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• 2021

In recent years, edge computing technology consists of several Internet of Things (IoT) devices with embedded sensors that have improved significantly for monitoring, detection, and management in an environment where big data is commercialized. The main focus of edge computing is data optimization or task offloading due to data and task-intensive application development. However, existing offloading approaches do not consider correlations and associations between data and tasks involving edge computing. The extent of collaborative offloading segmented without considering the interaction between data and task can lead to data loss and delays when moving from edge to edge. This article proposes a range segmentation of dynamic offloading (RSDO) algorithm that isolates the offload range and collaborative edge node around the edge node function to address the offloading issue.The RSDO algorithm groups highly correlated data and tasks according to the cause of the overload and dynamically distributes offloading ranges according to the state of cooperating nodes. The segmentation improves the overall performance of edge nodes, balances edge computing, and solves data loss and average latency.