• Journal of The Korean Association of Information Education
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• v.19 no.2
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• pp.197-206
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• 2015

The dissemination of smart appliances, along with the development of the latest information and communication technology has an effect on society. Their application can be seen in the smart learning environment, by use of digital textbooks with smart devices in the classroom. Hence in this study, the 4L-ACC activity using digital textbooks was applied in the third grade social studies class to improve critical thinking and problem solving skills of elementary school students. This study compared and analyzed the impact in critical thinking and problem-solving skills using digital textbooks versus standard social studies classes. As a result, in social studies classes that used the 4L-ACC activity compared to common social studies classes, elementary student's problem understanding, critical thinking, problem resolution, reflective thinking, and all lower areas of critical thinking and problem-solving were improved. In conclusion, using digital textbooks enhance student's ability to think critically and problem solve. This should provide learners a more comprehensive learning experience and therefore be integrated into more education environment.

• Journal of Information Technology Services
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• v.18 no.5
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• pp.193-207
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• 2019

In recent years, Digital Social Innovation has been emerging at home and abroad and new solutions are being proposed by the perspective of User using digital technology in order to solve social and economic problems of the city. In addition, Living Labs which is an innovative tools and space enable to solve problems doing activities with various participants led by users. Therefore, this study aims to systematically manage the activities of Living Lab in Digital Social Innovation and improves the Living Lab sustainability using the performance indicators which are going to be developed. Furthermore, construct the appropriate indicator of each project process and take test at real Living Labs. As a result, performance indicator was derived from each procedure in the Living Lab project, and proved validity and reliability of the indicators through qualitative and quantitative methods by interviews and the questionnaire from the participants of Living Labs.

• Journal of Digital Convergence
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• v.15 no.2
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• pp.155-163
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• 2017

South Korea has experienced various social problems during rapid economic development, and now attempts to address them through social economy and advanced technologies. This approach, however, requires comprehensive research on not only phenomenal issues but also their fundamental causes and regional/cultural contexts as Design Thinking Process does. This study aims to draw implications for applying Design Thinking Process into the entire process of solving social problems, from field research, idea refinement, and solution design. Limitations of Design Thinking-based social problem solving are also drawn through comparative analysis on various cases. In conclusion, the process of refining ideas and developing product/service can be utilized by social enterprises, ventures, NGOs, etc. as a guideline in addressing social problems.

• Journal of Digital Convergence
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• v.16 no.10
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• pp.301-311
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• 2018

Purpose: The purpose of this study was to examine the effects of the simulation-based cooperation program on self-efficacy, social problem-solving ability and college life adjustment of health college students. Methods: A nonequivalent control group pre-posttest design was used. Sixty-eight students were in the experimental group receiving the simulation-based cooperation program, and 68 were in the control group with no treatment. Results: There were significant increases in self-efficacy(z=-4.70, p<.001) and college life adjustment(t=2.03, p<.05) in the experimental group compared to the control group. However, there was no difference in the social problem-solving ability (z=-1.87, p=.061) between the experimental and control groups. Conclusion: The findings indicate that the simulation-based cooperation program has a significant effect on improving self-efficacy and college life adjustment in health college students. Thus the simulation-based cooperation program to promote the social problem-solving ability needs to be more developed and research related with cooperation program is further needed.

• Journal of Digital Convergence
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• v.17 no.10
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• pp.395-403
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• 2019

Since nursing is carried out in a relationship between nurses and nursing subjects in a social context, the social problem solving ability of nursing college students is very important. The purpose of this study was to identify impact of self-leadership, caring ability and self-efficacy on social problem solving ability in nursing student's. The subjects of this study were 203 nursing college students from a university. Data was analyzed using Pearson correlation and multiple regression. The result of multiple regression indicate that caring ability(${\beta}=0.39$, p<.001) self-efficacy(${\beta}=0.28$, p<.001), self-leadership(${\beta}=0.23$, p<.001) were the most consistent predictors of social problem solving ability and explained 53.0%. It is suggested to establish an autonomy-based program and feedback system and to develop a convergence education program to balance cognitive and emotional aspects.

• Journal of the Korean Society for Library and Information Science
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• v.49 no.1
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• pp.483-511
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• 2015

The efficiency and quality of the social reference sites are being challenged because a large quantity of the questions have not been answered or satisfied for quite a long time. Main goal of this study is to investigate important factors that affect the performance of question triage to relevant answerers in the context of social reference. To achieve the goal, expert finding techniques were used to construct an automated question triage approach to resolve this problem. Furthermore, important factors affecting triage decisions in digital reference were first examined, and extended them to the social reference setting by investigating important factors affecting the performance of automated question triage in the social reference setting. The study was conducted using question-answer pairs collected from Ask Metafilter. For the evaluation, logistic regression analyses were conducted to examine which factors would significantly affect the performance of predicting relevant answerers to questions. The results of the current study have important implications for research and practice in automated question triage for social reference. Furthermore, the results will offer insights into designing user-participatory digital reference systems.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.6
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• pp.2069-2085
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• 2021

A Social Networking Service (SNS) platform provides digital footprints to discover users' interests and track the social diffusion of product adoptions. How to identify a small set of seed users in a SNS who is potential to adopt a new promoting product with high probability, is a key question in social networks. Existing works approached this as a social influence maximization problem. However, these approaches relied heavily on text information for topic modeling and neglected the impact of seed users' relation in the model. To this end, in this paper, we first develop a general product adoption function integrating both users' interest and social influence, where the user interest model relies on historical user behavior and the seed users' evaluations without any text information. Accordingly, we formulate a product adoption maximization problem and prove NP-hardness of this problem. We then design an efficient algorithm to solve this problem. We further devise a method to automatically learn the parameter in the proposed adoption function from users' past behaviors. Finally, experimental results show the soundness of our proposed adoption decision function and the effectiveness of the proposed seed selection method for product adoption maximization.

• Journal of Korea Society of Digital Industry and Information Management
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• v.17 no.4
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• pp.161-175
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• 2021

This study analyzed the efficiency and influence factors according to the main research institute type of R&D Program for the local community problem-solving. This study applied data envelopment analysis (DEA) method and Tobit regression analysis by using 20 institutions that participated in R&D Program. The results are summarized as follows. First, Analysis results according to the research institute type of R&D project, Efficient DMUs showed more regional innovation institutions than social economy enterprises. But regional innovation institutions were the lowest in the CCR and BCC model. However, efficiency dose not differ between regional innovation institutions and social economy enterprises. Second, as a result of the analysis relation between efficiency and allocation characteristics of R&D input, the participation of regional innovation organizations as participating organizations has a negative effect on efficiency. It was found that the higher the proportion of government subsidies and the higher the employment rate of the vulnerable, which is a social achievement, the positive effect on efficiency. The implication of this study is that the participation of social economy enterprises as the main R&D institution and government R&D support can provide social economy enterprises with opportunities to accumulate R&D capabilities and experience successful commercialization.

• Journal of Korea Society of Digital Industry and Information Management
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• v.9 no.1
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• pp.43-52
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• 2013

Pervasive computing and social network are good resources in recommendation method. Collaborative filtering is one of the most popular recommendation methods, but it has some limitations such as rating sparsity. Moreover, it does not consider social network in pervasive computing environment. We propose an effective proactive friend recommendation method using social network and contexts in pervasive computing environment. In collaborative filtering method, users need to rate sufficient number of items. However, many users don't rate items sufficiently, because the rating information must be manually input into system. We solve the rating sparsity problem in the collaboration filtering method by using contexts. Our method considers both a static and a dynamic friendship using contexts and social network. It makes more effective recommendation. This paper describes a new friend recommendation method and then presents a music friend scenario. Our work will help e-commerce recommendation system using collaborative filtering and friend recommendation applications in social network services.

• Journal of Digital Convergence
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• v.13 no.3
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• pp.209-214
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• 2015

Social network services such as Facebook and Flickr is a very useful service that was the foundation of the Internet. If a state in which the Internet is connected, music, photos, and us to be able to share it freely post such as documents. However, even when the digital information posted in such social network services the user has died, and have been published, it is also used for people who do not intend the bad purposes some problems can occur. Facebook is trying to apply the findings Jed R. Brubaker of UC Irvine University in order to solve this problem. However, in Korea, such efforts, not much appears for now. Therefore, we proposed a method that can be managed by delegated Facebook, safely a Delegator digital information posted on social networking services such as Flickr. Our proposed system, as compared with Jed R. Brubaker and Jeong-Kyung Moon is executed previous studies, we studied a method proposed by the appropriate compensates points shortage is passed through the future research. And I consider to have been proposed a method to safely use posted digital assets in a social network service.