• Journal of Internet Computing and Services
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• v.23 no.2
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• pp.107-114
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• 2022

In this paper, availabilities of student-evaluations of team activities in the computer science basic classes were analysed. For the purpose, correlation analysis was conducted to investigate the relationships among peer-evaluation, self-evaluation, and academic achievement, and it was found that there was a statistically significant positive correlation among them. Moreover, the gap between peer-evaluation scores and self-evaluation scores was analyzed. When a one-sample t-test was performed, it was found that the gap was very significant. However, the size of the gap was not different between the two classes. That is, regardless of grade level, the students' self-evaluation scores tended to be on average higher than the evaluation scores received from peers. Finally, when analyzing the relationship between the gap in peer-evaluation and self-evaluation scores and academic achievement, there was no significant correlation between the gap in scores and academic achievement. In other words, there was no difference in the tendency of evaluation for students with high or low academic achievement. The results of the analysis shows the availability of student-evaluations of team activities in the evaluation of team-based instruction. The high correlation between self-evaluation and peer-evaluation indicates the objectivity of student-evaluation. Although it is clear that the self-evaluation score is higher on average than the score received from peers, it is more useful in terms of objectivity because it does not vary according to grade, subject, or academic achievement.

• Journal of Engineering Education Research
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• v.4 no.1
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• pp.57-78
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• 2001

Due to developments in information technology and ensuing changes in the concept of time and space, the significance of national boundaries has been weakened, bringing to attention the heightened competition among nations. In order to respond to these transformations, the Korean government is increasing its efforts to raise the authenticity of the National Technology Qualification System(NTQS) by closely linking NTQS testing method and procedure to practical knowledge and skills in the industry field. This initiative is based on the recognition that the human resources development is a crucial factor in determining a nation's competitiveness. This study aimed, first of all, to diagnose the problems directly and indirectly affecting the testing method in the current NTQS. And then, differentiated solutions according to grade and improvements in the testing infrastructure were suggested. The ultimate purpose was to provide a blueprint for enhancing national competitiveness through increased authenticity and efficiency of the NTQS. Research methods applied during this study include: the collection and review of qualification-related literature; a series of conferences with leading experts; interviews with vocational educators and researchers from qualification-related institutes; a survey of national qualification holders from a variety of professions and industries; and participatory observation at qualification exam centers. This research suggested policy recommendations as follows; First, measures to improve for testing method of professional engineer Second, measures to improve for testing method of Master craftsman Third, measures to improve for testing method of Engineer, Industrial Engineer, Craftsman Fourth, plans for the establishment of operation system for a computerized testing Fifth, institutional perspective on establishing qualification infrastructure Sixth, operational perspective on establishing qualification infrastructure

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.8
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• pp.344-351
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• 2019

The purpose of this study was to obtain the basic data for developing more advanced courses on character education by surveying and analyzing the perception and demands of character education of university students and further, to provide useful information for creating institutional protocol on character education. The study was conducted from April 2018 to May 2018 on students attending the departments of non-health science and health science university students. A total of 206 students participated in this study, and all the students in the non-health science and health science departments were found to be highly aware of the need for character education, its importance and the possibility of personality development through learning. Students from all the departments showed high levels on average in terms of self-understanding according to their personality abilities, and especially their high levels of 'consideration' and 'responsibility'. For the differences in perception of self-efficacy, the lowest level of recognition was for 'will' and the average values were not high. In their response to personality level, all students answered that their personality was 'high' (42.1%), and that the personality education courses at the schools they are currently attending were 'not satisfied' with both the non-health science and health science students. As a result, there were higher results overall for the health science students than that for the non-health science students, but there were not many significant differences. To this end, education institutes will have to prepare conditions for university students to cultivate their expertise in character, while at the same time helping them grow into human beings with the qualities demanded by society. In addition, the government should establish curriculums and content by accurately identifying the needs of character education and devising concrete measures for their implementation, and by more faithfully considering quantitative and qualitative context types for the content base of character education.

• Transactions of the KSME C: Technology and Education
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• v.3 no.2
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• pp.155-164
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• 2015

Recently, the robot manipulators are needed more slim size and longer reach and more accurate movement for increasing productivity. So, in this paper, the simulation modeling method and the efficient modeling method for new slim & long reach robot has been investigated for forecasting the slim robot performance before making prototype. To do this investigation, the major parts of robot driving system such as motor, belt and reducer devices and parts assembly method have been investigated mainly. And then, using this developed modeling method the new designed robot will be forecasted about the dynamic performance of new designed robot.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.47 no.4
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• pp.44-53
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• 2010

Program plagiarism is a significant factor to reduce the quality of education in computer programming. In this paper, we propose the technique of identifying similar or identical programs in order to prevent students from reckless copying their programming assignments. Existing approaches for identifying similar programs are mainly based on fingerprints or pattern matching for text documents. Different from those existing approaches, we propose an approach based on the program structur. Using paring progrmas, we first transform programs into XML documents by representing syntactic components in the programs with elements in XML document, then run X-tree Diff+, which is the change detection algorithm for XML documents, and produce an edit script as a change. The decision of similar or identical programs is made on the analysis of edit scripts in terms of program plagiarism. Analysis of edit scripts allows users to understand the process of conversion between two programs so that users can make qualitative judgement considering the characteristics of program assignment and the degree of plagiarism.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.38 no.4
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• pp.10-21
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• 2001

This paper develops a logical simulation method for by dyversity of situations. Most existing systems, for example, games and infant tutoring systems lead users to virtual environment with unfolding situations, but are not designed to induce the change of the environment itself. In this paper, a logically simulated environment is created by defining situations and single events based on situation hierarchy structure. We elaborate the occurrence of events by classifying the causality. The occurrence or natural phenomena is dictated by physical laws and natural phenomena are expressed as the transition of the event based on event association. Specifically we define the source of the event for natural phenomena and we consider the existence of objects as a primary factor in event occurrence. The advantages of this approach include the reuse of events, that is, different events can be generated in the same flow with fresh conditions. This allows us to implement a more practical and logical environment. A drawback to this method is the difficulty in dividing a situation into events. The proposed method was implemented in the context of the change of season among natural phenomena.

• KIPS Transactions on Software and Data Engineering
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• v.8 no.3
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• pp.109-114
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• 2019

The similarity detecting method that is basically used in most plagiarism detecting systems is to use the frequency of shared words based on morphological analysis. However, this method has limitations on detecting accurate degree of similarity, especially when similar words concerning the same topics are used, sentences are partially separately excerpted, or postpositions and endings of words are similar. In order to overcome this problem, we have designed and implemented a plagiarism detecting system that provides more reliable similarity information by measuring sentence similarity and syntactic word similarity in addition to the conventional word similarity. We have carried out a comparison of on our system with a conventional system using only word similarity. The comparative experiment has shown that our system can detect plagiarized document that the conventional system can detect or cannot.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.48 no.1
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• pp.17-25
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• 2011

At the computer games, we can experience a variety of environments using a virtual object. It is similar to that be trained in War-game simulator of the defense. Actual soldiers and a computer-generated virtual group(Computer Generated Force: CGF) in 3-D virtual battlefield environment are training. However, path finding algorithm, one of the techniques of simulation models, to the current level only considers the shortest time path. So, this current level at the special situation of the army in the battlefield for selecting the optimal path is limited. The focus of this paper is to select the least-cost path using the deadline with several different mission conditions(METT+TC). For the only shortest time path algorithm and the least-cost path algorithm using dealine,($d_t$, one of METT+TC elements), Its usefulness is verifying the change of the move spent time(t) for all possible paths and the fighting power of the combat troops(Troops ability, a) through a comparison of the total cost of moves(c(t)). According to the results, when considering the deadline, the proposed algorithm saves about 62.5% of the maximum cost.

• The Korean Journal of Archival Studies
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• no.34
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• pp.57-105
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• 2012

The CAMS(Central Archives Management System) of NAK(National Archives of Korea) is an important system which receives and manages large amount of electronic records annually from 2015. From the point of view in database design, this paper analyzes the database schema of CAMS and discusses the direction of overall improvement of the CAMS. Firstly this research analyzes the tables for records and folders in the CAMS database which are core tables for the electronic records management. As a result, researchers notice that it is difficult to trust the quality of the records in the CAMS, because two core tables are entirely not normalized and have many columns whose roles are unknown. Secondly, this study suggests directions of normalization for the tables for records and folders in the CAMS database like followings: First, redistributing the columns into proper tables to reduce the duplication. Second, separating the columns about the classification scheme into separate tables. Third, separating the columns about the records types and sorts into separate tables. Lastly, separating metadata information related to the acquisition, takeover and preservation into separate tables. Thirdly, this paper suggests considerations to design and manage the database schema in each phase of archival management. In the ingest phase, the system should be able to process large amount of records as batch jobs in time annually. In the preservation phase, the system should be able to keep the management histories in the CAMS as audit trails including the reclassification, revaluation, and preservation activities related to the records. In the access phase, the descriptive metadata sets for the access should be selected and confirmed in various ways. Lastly, this research also shows the prototype of conceptual database schema for the CAMS which fulfills the metadata standards for records.

• KIPS Transactions on Software and Data Engineering
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• v.11 no.4
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• pp.149-156
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• 2022

In the current COVID-19 pandemic, fake news and misinformation related to COVID-19 have been causing serious confusion in our society. To accurately detect such fake news, social context-based methods have been widely studied in the literature. They detect fake news based on the social context that indicates how a news article is propagated over social media (e.g., Twitter). Most existing COVID-19 related datasets gathered for fake news detection, however, contain only the news content information, but not its social context information. In this case, the social context-based detection methods cannot be applied, which could be a big obstacle in the fake news detection research. To address this issue, in this work, we collect from Twitter the social context information based on CoAID, which is a COVID-19 news content dataset built for fake news detection, thereby building CoAID⁺ that includes both the news content information and its social context information. The CoAID⁺ dataset can be utilized in a variety of methods for social context-based fake news detection, thus would help revitalize the fake news detection research area. Finally, through a comprehensive analysis of the CoAID⁺ dataset in various perspectives, we present some interesting features capable of differentiating real and fake news.