• Advances in environmental research
• /
• v.3 no.1
• /
• pp.87-106
• /
• 2014

The concern for the global environment ensues researchers from various disciplines to work in collaboration to tackle with the issues of sustainability and environmental conservation for well-being of the people. In this study, we have selected and focused on few basic environment-effecting factors such as temperature, humidity, carbon dioxide and oxygen concentration level and referred them as meteorological data. In this paper, we present the development of our own customized hardware setup, environmental monitoring device (EMD) to obtain the data. Utilizing the relationship among these basic parameters, represented in the form of formulas and equations, we tried to encode them using Matlab programming. Data visualization is achieved by plotting the graphs of basic parameters obtained from EMD as well for the derivatives using Matlab programs.

• Journal of Information Technology Services
• /
• v.5 no.2
• /
• pp.79-92
• /
• 2006

Since software development team members have been more geographically spread due to the globalization of business and Internet technologies, the management of deliverables and communication efforts for developing high-quality software products on time is becoming more complicated. Among the functional requirements for collaborative software development management, the manipulation of shared information objects is essential for the collaborative work among distributed development team members. This paper proposes an integrated information object management framework comprised of a so-called BOC (Bill Of Class) scheme and a standardized software part dictionary for managing shared information objects efficiently among distributed co-workers. In order to manage these complex information objects, the proposed framework adopt product structures represented by Bills Of Materials (BOM) as stems for integrating the various information objects. Based on the proposed framework, a collaborative software development management system (CSDMS) is implemented, and the functionalities and the structure of the system are also described in this paper. The proposed system provides sufficient functionalities for the change management of information objects and the management of their relationship to other objects rather than existing system.

• International Journal of Computer Science & Network Security
• /
• v.22 no.6
• /
• pp.339-345
• /
• 2022

Outcome-based education (OBE) is a tried-and-true teaching technique based on a set of predetermined goals. Program Educational Objectives (PEOs), Program Outcomes (POs), and Course Outcomes (COs) are the components of OBE. At the end of each year, the Program Outcomes are evaluated, and faculty members can submit many recommended measures which dependent on the relationship between the program outcomes and its courses outcomes to improve the quality of program and hence the overall educational program. When a vast number of courses are considered, bad actions may be proposed, resulting in unwanted and incorrect decisions. In this paper, a recommender system, using collaborative filtering and association rules algorithms, is proposed for predicting the best relationship between the program outcomes and its courses in order to improve the attributes of the graduates. First, a parallel algorithm is used for Collaborative Filtering on Data Model, which is designed to increase the efficiency of processing big data. Then, a parallel similar learning outcomes discovery method based on matrix correlation is proposed by mining association rules. As a case study, the proposed recommender system is applied to the Computer Information Systems program, College of Computer Sciences and Information Technology, Al-Baha University, Saudi Arabia for helping Program Quality Administration improving the quality of program outcomes. The obtained results revealed that the suggested recommender system provides more actions for boosting Graduate Attributes quality.

• The Journal of Industrial Distribution & Business
• /
• v.12 no.5
• /
• pp.27-36
• /
• 2021

Purpose: This study empirically investigates the effect of collaborative communication and information sharing on the supply chain performance of South Korean pharmaceutical companies. Specifically, it understands the importance collaborative communication and suggests a method for investigating communication in academic research on the pharmaceutical industry. Investigating this sector is crucial because the importance of the pharmaceutical industry is increasing globally against the background of the Covid-19 pandemic. Research design, data, and methodology: A questionnaire was administered to employees of South Korean pharmaceutical companies and 244 valid responses were used for the statistical analysis. Additionally, structural equation modeling was used to measure the relationships between the observed and latent variables. Results: Collaborative communication has a positive effect on information sharing. However, information sharing, unlike collaborative communication, does not exhibit a significant positive relationship with supply chain performance. These results indicate that it is important to communicate effectively in the supply chain rather than strive for the right type of information sharing. Conclusions: Consumers and retailers within the supply chain should continue to strive for candid communication. This study is meaningful, as it empirically tests the relationships between collaborative communication, information sharing, and supply chain performance in the South Korean pharmaceutical industry.

• Journal of Korea Society of Digital Industry and Information Management
• /
• v.19 no.3
• /
• pp.105-115
• /
• 2023

This study analyzed the effects of learning participation motivation and collaborative self-efficacy on knowledge sharing behavior in an online learning environment. Collaborative learning in the online learning environment took the initiative in team formation, learning topic selection, learning planning and execution, and reflection. Collaborative learning was operated as an extracurricular program, and a survey was conducted targeting students who finally completed all learning activities. The results of the study are as follows. First, goal-oriented motivation and self-Efficacy for group work, showed significant influence on knowledge sharing behavior. Second, activity-oriented motivation did not show a statistically significant effect relationship. Interpreting the analysis results, it can be judged that the higher the goal-oriented motivation and self-Efficacy for group work of students who performed collaborative learning in an online learning environment, the higher the willingness to share knowledge, skills, and information they know. This study explored the outcomes of collaborative learning conducted in an online learning environment. It is meaningful that the learner's learning participation motivation was identified and the effect of self-Efficacy for group work, which can be expressed in collaborative learning situations, on knowledge sharing behavior, which is a necessary behavior for group performance, is significant.

• Journal of Service Research and Studies
• /
• v.6 no.4
• /
• pp.47-57
• /
• 2016

Open source has an amazing spread with the advent of smartphones. Open-source Moodle in e-learning areas are free of LMS (Learning Management System) and the most widely used worldwide, except for the black board commercial programs. One reason is well designed to support collaborative learning and interaction based on constructivist principles, which is the core principle of e-learning in particular that the theoretical basis of educational technology has a high educational effectiveness and benefits. This study examines the operational practices of collaborative learning using open source learning management system Moodle program. It introduces specific information to support the user of the collaborative learning. It looks at the advantages and singularity of collaborative learning in e-learning through examples shown. The purpose of this study is the importance of the relationship between learners and the importance of self-learning of collaborative learning through collaborative learning in a knowledge repository of Moodle. In addition, collaborative learning outcomes are is based on the motivation of learners and playfulness.

• Korean Journal of Human Ecology
• /
• v.15 no.1
• /
• pp.1-15
• /
• 2006

The purpose of this study is (1) to investigate how children's peer interaction type and joint problem-solving performance differ, depending on a partner's age, in such a situation as they are asked to solve problems with their peer and (2) to investigate relationship between children's peer interaction type and joint problem-solving performance. Results reveal that children's problem-solving performance receives more benefit in the interactions with older peers, rather than those with younger ones. It can also be improved by higher level of collaborative interactions such as abstract collaborative explanations in joint activities. It is influenced positively by collaborative interactions, expecially when the children are in the same age groups. Results here were discussed in terns Piagetian and Vygotskian theories.

• Journal of Internet Computing and Services
• /
• v.19 no.3
• /
• pp.7-14
• /
• 2018

As SNS(Social Network Service) becomes a part of our life, new information can be derived through various information provided by SNS. Through the public timeline analysis of SNS, we can extract the latest tour trends for the public and the intimacy through the social relationship analysis in the SNS. The extracted intimacy can also be used to make the personalized recommendation by adding the weights to friends with high intimacy. We apply SNS elements such as analyzed latest trends and intimacy to item-based collaborative filtering techniques to achieve better accuracy and satisfaction than existing travel recommendation services in a new way. In this paper, we propose a social travel recommendation system using item - based collaborative filtering.

• Journal of the Korean Operations Research and Management Science Society
• /
• v.20 no.3
• /
• pp.1-16
• /
• 1995

Group collaborative systems are recently emerging to support a group of users engaged in common tasks such as group decision making, engineering design, group scheduling, or collaborative writing. This paper provides an change management framework for the group collaborative system to facilitate managing dependency relationship between shared objects and dependent user views, and coordinating change and propagation activities between the two in distributed computing environments. Specifically, the framework adopts an object-oriented database paradigm and presents several object constructs capturing dependency management and change notification mechanisms. First, it introduces change management mechanisms with transient shared objects and secondly, it extends them into presistent object computing environment by integrating transaction management mechanisms and change notification mechanisms. A prototype change management framework is developed on a commercial object-oriented database management system.

• Educational Technology International
• /
• v.11 no.2
• /
• pp.105-121
• /
• 2010

Collaborative learning encourages the use of high-level cognitive strategies, critical thinking, and interpersonal relationships. Despite these advantages, most instructors reveal the difficulties of using project-based collaborative learning; a common problem is the failure of the group to work effectively together. Thus, this study attempted to provide practical advice on group composition with self-regulation. In a college course, 31 groups with 129 students were asked to discuss and prepare the final presentation material and present it together as a collaborative work. All students' self-regulation skills were measured at the beginning of the semester, and the collective self-regulation was computed as an average of the individual scores of each group. The results of regression analysis indicate that the group's collective self-regulation shows a highly significant positive effect on group performance and satisfaction, as self-regulation predicts individual academic performance. The results also show that there is a significant positive relationship between students' self-regulation and participation in group work.