• Proceedings of the Korean Society of Computer Information Conference
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• 2020.01a
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• pp.43-46
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• 2020

본 논문은 코딩 교육과 영어 교육의 융합을 지향한다. 즉, 하나의 애플리케이션으로 두 가지 교육을 동시에 진행 가능할 수 있는 프로그램을 목표로 삼아 개발되었다. 시중에 공개되어있는 유아 코딩교육 애플리케이션이나 영어 교육 애플리케이션의 수는 많지만, 코딩과 영어를 동시에 교육할 수 있고, 이를 게임으로서 즐길 수 있게 만든 애플리케이션은 드물다. 특히 유아들에게 코딩과 영어에 대한 자신감과 흥미를 심어주고 고착화된 공부 방식이 아닌, 놀이를 통한 교육 방식을 제공하면서 코딩과 영어에 대한 긍정적 인식을 심어주기 위해 노력했다.

• Journal of Digital Convergence
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• v.14 no.6
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• pp.33-41
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• 2016

In this study, it was to prepare a plan for improving the employment rate of college students after identifying employment preparation behavior by grade level. Based on data collected in this study, frequency analysis was analyzed and in order to find out the difference of employment preparation behavior between grade level, Cross-analysis was performed. The results, all items showed that significant differences by grade level in preparation for employment actions such as choice of a double major, workers' experience in college education services, language training experience in foreign countries, setting career in college education services, setting a goal for employment, seeking for employment in college education services, participation in employment activity for researching job, education/training-related job, having an official license. Implications for activation direction of employment preparation of college student by grade level is as follows. First, it is necessary for encouraging actively employment intention of the students. Second, there is a need for institutional support for certification and expanding language training opportunities. Third, in the case of a local university, it is necessary for enhancing competency for employment through the promotion of basic education for students.

• Journal of English Language & Literature
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• v.57 no.6
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• pp.977-998
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• 2011

The purpose of this study is to investigate prospective teachers' perceptions of the peer review comments readily available to them during the writing process in a teacher training class. Given these needs, we employ a qualitative method of inquiry giving voice to the learner's own view of peer feedback. The data we wish to consider is first-person narratives elicited from four EFL college students, who are prospective teachers of English. With regard to the EFL students' narrative considered here, all were attentive to the feedback they received. Moreover, the way in which these EFL writers talk about peer response activity reflects that they still welcome peer feedback because of the benefits to be accrued from it. Although this study, covering only four EFL students in total, can hardly be considered conclusive, we attempt to offer a synthesis of their stories. First of all, students indicate that they received responses from "authentic readers" (Mittan 1989, 209). We do note, consequently, that students gain a clear understanding of readers' needs by receiving feedback on what they did well and on what seems unclear. Perhaps the greater effect of peer feedback claimed by these students is that they take active roles in utilizing peer comments. Since they feel uncertain about the validity of their classmates' responses, students feel that they have autonomy over their own text and can make their own decisions on whether they should accept their peer comments or not. This contrasts with their treatment of teacher comments that they accept begrudgingly even if they disagree with them. Four EFL writers talked a lot, typically in a positive way, about peer response to their writing, yet they have expressed reservations about the extent to which they should put any credence in comments offered by their fellow students. Perhaps this is because their fellow students are still developing writers and EFL learners. In turn, they were sometimes reluctant to accept the peers' comments. Thus, in EFL contexts, L1 use can be suggested during peer feedback sessions. In particular, we have come to feel that L1 use enables both reviewers and receivers to have more productive peer review experiences. Additionally, we need to train students not "to see peer feedback as potentially bad advice" (Silva et al. 2003, 111). Teachers should focus on training students to utilize their peers' comments. Without such training, students will either ignore feedback or fail to use it constructively.

• 제어로봇시스템학회:학술대회논문집
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• 2004.08a
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• pp.1319-1323
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• 2004

In this paper, a problem of Thai sign language recognition using a neural network is considered. The paper addresses the problem in classifying certain signs conveying quantitative meaning, e.g., large or small. By treating those signs corresponding to different quantities as derived from different classes, the recognition error rate of the standard multi-layer Perceptron increases if the precision in recognizing different quantities is increased. This is due the fact that, to increase the quantitative recognition precision of those signs, the number of (increasingly similar) classes must also be increased. This leads to an increase in false classification. The problem is due to misinterpreting the amount of quantity the quantitative signs convey. In this paper, instead of treating those signs conveying quantitative attribute of the same quantity type (such as 'size' or 'amount') as derived from different classes, here they are considered instances of the same class. Those signs of the same quantity type are then further divided into different subclasses according to the level of quantity each sign is associated with. By using this two-level classification, false classification among main gesture classes is made independent to the level of precision needed in recognizing different quantitative levels. Moreover, precision of quantitative level classification can be made higher during the recognition phase, as compared to that used in the training phase. A standard multi-layer Perceptron with a back propagation learning algorithm was adapted in the study to implement this two-level classification of quantitative gesture signs. Experimental results obtained using an electronic glove measurement of hand postures are included.

• Journal of Nutrition and Health
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• v.44 no.4
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• pp.312-325
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• 2011

The purpose of this study was to investigate dietary behaviors and nutritional knowledge among immigrant women in multicultural families. In addition, this study reveals a necessity for nutrition education, which is apparent to both immigrant women living in multicultural families as well as nutrition education experts. The survey was conducted with 30 immigrant women within multicultural families in Seoul. The dietary behaviors of the women were significantly different by their period of residence. The longer they had resided in Korea, the higher their dietary behavior score. However, there was no significant difference in nutrition knowledge by their period of residence. This study also conducted in-depth personal interviews with 8 immigrant women who lived in Seoul, and with 4 nutrition education experts. These interviews were performed to provide profound insights regarding the content and means of nutrition education for immigrant women. Nutrition education for immigrant women living in multicultural families should proceed at a basic level in terms of language and content, using bilingual (Korean and their native language) education materials. Education topics and content need to be developed differently according to the level of Korean comprehension and period of residence in Korea. Also, this multicultural approach should be adapted when planning nutrition education since immigrant women have various acculturation levels, and the content and means of education should be adjusted to these acculturation levels. Management after nutrition education is necessary for immigrant women who do not have sufficient understanding of the Korean language. Practical educational methods such as real cooking practices and food purchasing simulations must be developed. Finally, the results suggest that the government needs to establish a systematic plan for nutrition education among immigrant women living in multicultural families. Policy support such as training nutrition educators on multicultural individuals residing in Korea is necessary for active and effective nutritional education.

• Journal of the Korea Computer Industry Society
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• v.4 no.12
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• pp.999-1012
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• 2003

To produce quality software products, engineers must feel personally responsible for the qualify of products. Superior products are not produced by mistake; engineers must strive to do quality work. Every engineer is different and has own process improvement method. To be most effective, engineers must plan their work and they must base their plans on their own personal data. To consistently improve their performance, engineers must personally use well-defined and measured processes. The Personal Software Process(PSP) is a self-improvement process designed to help software engineers control, manage, and improve the way they work. It is a structured framework of forms, guidelines, and procedures for developing software. Properly used, the PSP provides the historical data you need to better make and meet commitments and it makes the routine elements of your job more predictable and more efficient. Then, PSP is the very useful tool to train the students in Programming Language Course. This paper is to provide the concept of PSP/TSP and the sample curriculums for Program Language Training Courses. Personal Software Process(PSP) to train students of Programming Language Courses

• Journal of the Korean Institute of Intelligent Systems
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• v.16 no.1
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• pp.30-36
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• 2006

In this paper, we proposed the system that supports underachievers realm decision of Korean language curriculum in the middle school. Learning disability and stagnation should be minimized by using and applying the proposed system. The input layer of the system contains 36 variables, which can be specific items in the Koran language curriculum. The variables are encoded with the specific coding schemes. The number of nodes in the hidden layer was determined through a series of learning stage with best result. We assigned 4 neurons, which correspond to one realm of the curriculum to output layer respectively. We used the multilayer perceptron and the error backpropagation algorithm to develope the system. A total of 2,008 data for training and 380 for testing were used for evaluating the performance.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.10a
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• pp.375-378
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• 2011

To learn a programming language as a text-based programming and a computer language suitable for a wide range, learner thinks it is very difficult. To represent a visual program is one way to solve this problem easily. The visual language such as Visual C++, Visual Basic and Delphi is represented an interface as the visual component and represented a component action as a text-based. The programmer is very difficult about the component action with text-based and dislikes programming. In this paper, so solve these problems, we use the UML for representing a logical thinking and supporting and object-oriented programming. We suggest for programming education method to replace text-based programming to LabVIEW OOP. In addition, we conduct a survey on how programming education and analyze the training effect.

• Journal of Creative Information Culture
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• v.7 no.2
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• pp.91-98
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• 2021

As the amount of time that elementary school students spend online increased due to Corona 19, the amount of posts, comments, and chats they write increased, and problems such as offending others' feelings or using swear words are occurring. Netiquette is being educated in elementary school, but training time is insufficient. In addition, it is difficult to expect changes in student behavior. So, technical support through natural language processing is needed. In this study, an experiment was conducted to automatically filter profanity sentences by applying them to a pre-trained language model on sentences written by elementary school students. In the experiment, chat details of elementary school 4-6 graders were collected on an online learning platform, and general sentences and profanity sentences were trained through a pre-learned language model. As a result of the experiment, as a result of classifying profanity sentences, it was analyzed that the precision was 75%. It has been shown that if the learning data is sufficiently supplemented, it can be sufficiently applied to the online platform used by elementary school students.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.32 no.5
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• pp.1009-1017
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• 2022

Log data has been used as a basis in understanding and deciding the main functions and state of information systems. It has also been used as an important input for the various applications in cybersecurity. It is an essential part to get necessary information from log data, to make a decision with the information, and to take a suitable countermeasure according to the information for protecting and operating systems in stability and reliability, but due to the explosive increase of various types and amounts of log, it is quite challenging to effectively and efficiently deal with the problem using existing tools. Therefore, this study has suggested a multiclass classification of the security severity level of multi-source event log using machine learning based on natural language processing. The experimental results with the training and test samples of 472,972 show that our approach has archived the accuracy of 99.59%.