• Journal of the Korea Society of Computer and Information
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• v.15 no.8
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• pp.127-139
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• 2010

The concept of Web 2.0, which means that internet users are producers and also consumers is evolved according to the development of web service technology. In the Web 2.0 space, the enormous amount of web contents are produced using many social web services. Proactive display system supports various types of users's web contents. Unfortunately, private web contents sharing facility is imperfect to date. In this paper, we develop a proactive display application which identifies people, displaying their social contents such as blogs and open cafes through wide display devices or multi-media players in physical spaces. For this, we develop a social contents presentation server where users can register their profiles and information on the social contents to be shared through the developed application. Also, we develop a social contents presentation client that proactively identifies the user in close proximity and displays the user's social contents through an intuitive user interface in physical spaces. In addition, we develop an on-the-spot feedback service which supports posting various types of replies and an on-the-spot scrap service which specifies direct sharing of the contents through the intuitive user interface.

• Journal of Intelligence and Information Systems
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• v.16 no.4
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• pp.85-97
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• 2010

Internet communities are a typical space for knowledge creation and use on the Internet as people discuss their common interests within the internet communities. When we define 'Knowledge Communities' as internet communities that are related to knowledge creation and use, they are categorized into 4 different types such as 'Search Engine,' 'Open Communities,' 'Specialty Communities,' and 'Activity Communities.' Each type of knowledge community does not remain the same, for example. Rather, it changes with time and is also affected by the external business environment. Therefore, it is critical to develop processes for practical use of such changeable knowledge communities. Yet there is little research regarding a strategic framework for knowledge communities as a source of knowledge creation and use. The purposes of this study are (1) to find factors that can affect knowledge creation and use for each type of knowledge community and (2) to develop a strategic framework for practical use of the knowledge communities. Based on previous research, we found 7 factors that have considerable impacts on knowledge creation and use. They were 'Fitness,' 'Reliability,' 'Systemicity,' 'Richness,' 'Similarity,' 'Feedback,' and 'Understanding.' We created 30 different questions from each type of knowledge community. The questions included common sense, IT, business and hobbies, and were uniformly selected from various knowledge communities. Instead of using survey, we used these questions to ask users of the 4 representative web sites such as Google from Search Engine, NAVER Knowledge iN from Open Communities, SLRClub from Specialty Communities, and Wikipedia from Activity Communities. These 4 representative web sites were selected based on popularity (i.e., the 4 most popular sites in Korea). They were also among the 4 most frequently mentioned sitesin previous research. The answers of the 30 knowledge questions were collected and evaluated by the 11 IT experts who have been working for IT companies more than 3 years. When evaluating, the 11 experts used the above 7 knowledge factors as criteria. Using a stepwise linear regression for the evaluation of the 7 knowledge factors, we found that each factors affects differently knowledge creation and use for each type of knowledge community. The results of the stepwise linear regression analysis showed the relationship between 'Understanding' and other knowledge factors. The relationship was different regarding the type of knowledge community. The results indicated that 'Understanding' was significantly related to 'Reliability' at 'Search Engine type', to 'Fitness' at 'Open Community type', to 'Reliability' and 'Similarity' at 'Specialty Community type', and to 'Richness' and 'Similarity' at 'Activity Community type'. A strategic framework was created from the results of this study and such framework can be useful for knowledge communities that are not stable with time. For the success of knowledge community, the results of this study suggest that it is essential to ensure there are factors that can influence knowledge communities. It is also vital to reinforce each factor has its unique influence on related knowledge community. Thus, these changeable knowledge communities should be transformed into an adequate type with proper business strategies and objectives. They also should be progressed into a type that covers varioustypes of knowledge communities. For example, DCInside started from a small specialty community focusing on digital camera hardware and camerawork and then was transformed to an open community focusing on social issues through well-known photo galleries. NAVER started from a typical search engine and now covers an open community and a special community through additional web services such as NAVER knowledge iN, NAVER Cafe, and NAVER Blog. NAVER is currently competing withan activity community such as Wikipedia through the NAVER encyclopedia that provides similar services with NAVER encyclopedia's users as Wikipedia does. Finally, the results of this study provide meaningfully practical guidance for practitioners in that which type of knowledge community is most appropriate to the fluctuated business environment as knowledge community itself evolves with time.

• Journal of Software Engineering Society
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• v.27 no.1
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• pp.8-14
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• 2018

As cloud computing has emerged as a hot trend in the IT industry, various types of cloud services have emerged. In addition, cloud service broker (CSB) technology has emerged to alleviate the complexity of the process of selecting the desired service that user wants among the various cloud services. One of the key features of the CSB is to recommend the best cloud services to users. In general, CSB can use a method to evaluate a service by receiving feedback about a service from users in order to recommend a cloud service. However, since each user has different criteria for giving a rating, there is a problem that reliability of service evaluation can be low when the rating is only used. In this paper, a method is proposed to supplement evaluation of rating based service by applying machine learning based sentiment analysis to cloud service user's review. In addition, the CSB prototype is implemented based on proposed method. Further, the results of comparing the performance of various learning algorithms is proposed that can be used for sentiment analysis through experiments using actual cloud service review as learning data. The proposed service evaluation method complements the disadvantages of the existing rating-based service evaluation and can reflect the service quality in terms of user experience.

• Journal of The Korean Association For Science Education
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• v.35 no.1
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• pp.109-119
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• 2015

In this study, we investigated how the scientific problem-finding ability of pre-service teachers is improved through open-situation scientific problem-making activity. We organized two experimental groups and a control group by degree of participation. The 1st experimental group is an actively participating class, while the 2nd experimental group is a passively participating class. We developed and applied a worksheet for training in problem-making. The pre-service teachers filled in the worksheet for problem-making once a week for seven weeks, then the lecturer gave feedback for every worksheet. We developed and applied a problem finding test in an open-situation to measure their problem finding ability at pre- and post-training. As a result of the training, problem level and diversity improved for pre-service teachers through continuous problem-making activities and feedback. The 1st experiment group significantly improved on the quality and quantity of problems. Especially in the originality, elaboration, verifiability, and variables' category, the 1st experimental group significantly improved compared to the control group and the 2nd experimental group. On the other hand, the quality and quantity of problems of the 2nd experimental group decreased. These results provide a basis for correlation between training attitude and improvement of problem-finding ability. Based on the result of this study, continuous problem-making training and feedbacks are helpful in improving the problem-finding ability of pre-service teachers.

• The Journal of Korean Academy of Sensory Integration
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• v.19 no.1
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• pp.54-68
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• 2021

Objective : This study aimed to analyze and classify the task-oriented training methods used to improve the daily lives of children with cerebral palsy. Methods : The search period from January 2008 to August 2020, and the CINAHL, MEDLINE and PubMed was databases were used. A total of 18 studies was selected, and the PICO method was applied to conduct the systematic review. The training methods were then classified according to task, practice, and feedback as strategies to learn or to exercise control based on prior research. Results : Of the selected studies, 13 reported significant results in the area of motor skills, two of which related to Activities of Daily Living. Discrete and closed were the most common forms of task, and the most used types of practice were whole, part, and blocked, in that order. Finally, feedback was not specifically provided in most studies, followed by extrinsic feedback. Conclusion : Based on this review, task-oriented training for children with cerebral palsy can be made more effective in clinical practice in the future through the systematic selection of techniques that promote exercise control and the presentation of specific methods.

• Science of Emotion and Sensibility
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• v.12 no.3
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• pp.341-350
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• 2009

Archer's capability of attention and relaxation control during shooting process was evaluated using EEG technology. Attention and meditation algorithms were used to represent the levels of mental concentration and relaxation levels. Elite, mid-level, and novice archers were tested for short and long distance shootings in the archery field. Single channel EEG was recorded on the forehead (Fp1) during the shooting process, and attention and meditation levels were computed by real time. Four types of variations were defined based on the increasing and decreasing patterns of attention and meditation levels during shooting process. Elite archers showed increases in both attention and relaxation while mid-level archers showed increased attention but decreased relaxation. Elite archers also showed higher levels of attention at the release than mid-level and novice archers. Levels of attention and relaxation and their variation patterns were useful to categorize archers and to provide feedback in training.

• Journal of the Korean School Mathematics Society
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• v.23 no.3
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• pp.323-349
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• 2020

In this study, we conducted eight reciprocal peer tutoring classes where each student took either role of a tutor or a tutee to study covariational reasoning in ninth graders. Students were given the opportunity to teach their peers with their covariational reasoning as tutors, and at the same time to learn covariational reasoning as tutees. A heterogeneous group was formed so that scaffolding could be provided in the teaching and learning process. A total of eight reciprocal peer tutoring worksheets were collected: four quantitative graph type questions and four questions of the qualitative graph to the group. The results of the analysis are as follows. In reciprocal peer tutoring, students who experienced a higher level of covariational reasoning than their covariational reasoning level showed an improvement in covariational reasoning levels. In addition, students enhanced the completeness of reasoning by modifying or supplementing their own covariational reasoning. Minimal teacher intervention or high-level peer mediation seems to be needed for providing feedback on problem-solving results.

• Journal of the Korean Society for information Management
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• v.37 no.2
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• pp.23-45
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• 2020

The world is paying attention to the South Korean government's aggressive COVID-19 response, key of which is transparency and openness in sharing information. Opening up government information is essential to enhancing its social and economic value through increased awareness and accessibility. The purpose of this study is to investigate the current status of SNS operated by national open data portals in which government-collected and -disclosed data is available and to suggest improvements for the use of open data portals. To do this, the study compared 3 national open data portals, each from India, U.S.A, and Korea, by performing quantitative analysis, user feedback analysis, time-series analysis, and information type analysis. Based on the identified information types and user needs, the study suggests concrete ways to facilitate the use of open data portals.

• Education of Primary School Mathematics
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• v.20 no.4
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• pp.305-319
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• 2017

In the process of finding the triangle height, 26 students in the 6th grade were surveyed to understand the students' triangle height through the eye movement data and to investigate the cognitive load of the students. As a result, the correctness rate of the pre-test was significantly increased in the post-test, and the frequency and retention of gaze data were smaller in the post-test than in the AOI of each question. The Participants's subjective cognitive load indicated that it was more difficult to understand the concept of rotated triangles compared with upright triangles that were parallel to the ground. More frequent and more retentions in the eye-tracking data were detected in the right triangles and acute triangles by rotating configuration. Eye movement data show that eye tracking technology can provide an objective measure of students' cognitive load for feedback on instructional design.

• Archives of design research
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• v.18 no.3 s.61
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• pp.149-160
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• 2005

The Purpose of this study is to embody self-directed learning management system and contents which are considered of learner's interactivity and usability in e-learning environment; It is based on self directed teaching and learning strategies. It divides type of interaction centering on the learners into four categories: (1) learner and instructor (2) learner and learner (3) learner and contents (4) learner and learning management system. The specific elements of learning management system is set up and embodied to present the interaction strategies according to the above-mentioned patterns, to improve the self-directed learning ability and to facilitate an online communication. The learning contents based on the self directed learning strategies, design the interface in due consideration of the learners' usability based on six strategies such as simple navigation, consistency, intuitive interface, linkage, user supports and immediate feedback. This research makes up for the weak points in the self-directed functions of learning management system and links up with learning contents, therefore it has a value to improve learner's interactivity and usability. It is expected that the research results can be helpful in quality improvement of e-learning environment.