• Journal of the Korea Convergence Society
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• v.12 no.12
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• pp.75-81
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• 2021

In the new era of the 4th industrial revolution, new jobs using the latest technologies such as big data, cloud, IoT, and AI are increasing. In the field of various industries, talents who can converge IT and industrial fields are needed, but such convergence-type talents are insufficient. This study analyzed the effects of IT convergence startup education on the learning effect and educational performance of trainees preparing for re-employment. A survey was conducted with 160 trainees preparing for reemployment. Frequency analysis, reliability analysis, correlation analysis, and multiple regression analysis were performed using the analysis tool SPSS 22.0 program. As a result of the study, first, in the IT convergence startup education of trainees who are preparing for re-employment, it was found that the sub-factors such as education content, instructor, and member satisfaction had a positive effect on the learning effect. Second, in the IT convergence start-up education for employment trainees, it was found that the sub-factors such as education contents, instructors, and the satisfaction of learning members had a significant effect on educational performance. It is expected that this study will serve as a basic data for preparing a start-up support system to revitalize start-ups in the IT convergence field.

• Journal of Digital Convergence
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• v.17 no.3
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• pp.1-11
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• 2019

This study is aimed to analyze university students' learning experiences in K-MOOC by conducting a survey of university students' perception of K-MOOC, who are the major users of K-MOOC. Also it intended to use them to develop a specific strategy for continued use of K-MOOC. The study was conducted on 155 university students who attending university course and experienced K-MOOC's course within a year. The survey was conducted on online and provided with multiple questions about sustainability and satisfaction. Also survey provided with a subjective items about reason of satisfaction and dissatisfaction with the K-MOOC, and expectation about the future K-MOOC. The analysis found that the main motivation for university students was the convenience of online learning, which was the highest in questions asking why they were satisfied. For reasons of dissatisfaction, the decrease in academic volition and lack of interaction, and the technical problems of K-MOOC system were pointed out. University students learners are expecting improvements in course content and K-MOOC system. Based on these results, this paper suggests instructional strategies to help K-MOOC university students for becoming lifelong learners of K-MOOC.

• Journal of The Korean Association For Science Education
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• v.39 no.2
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• pp.221-232
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• 2019

Despite the continuing emphasis on the importance of scientific inquiry, research studies have commented that authentic scientific inquiry is not implemented in school science classroom due to a lack of understanding of scientific inquiry by the teacher. The purpose of this study is to investigate understanding of scientific inquiry developed by beginning teachers through open-ended questionnaire and semi-structured interview. They voluntarily set up the goal of inquiry-based classes, planned inquiry-based classes, shared and reflected their teaching experience in professional learning community for more than a year. It appeared that participant teachers understood scientific inquiry as 'what scientists do', 'process how students do science' and 'science teaching methods.' All teacher participants described scientific inquiry as 'what scientists do', and understood 'the process of doing scientific investigation to solve problems related to natural phenomenon' and 'the process of constructing scientific knowledge using scientific practice.' Two participant teachers seemed to understand scientific inquiry as a 'teaching method' based on the understanding of the process how scientists or students do science. Participant teachers had a limited understanding of scientific inquiry that it is the same as laboratory works or hands-on activities prior to engaging the professional learning community, but they developed an understanding of scientific inquiry that there are various ways to conduct scientific inquiry after engaging in professional learning community.

• Journal of Gifted/Talented Education
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• v.24 no.4
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• pp.703-728
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• 2014

This study academically examined about whether STEAM education is really needed, as part of the convergence-style gifted education for training a producer in creative knowledge, through the documentary and Delphi survey. Based on the results, it developed STEAM education materials available for being applied to the domestically gifted education field, and examined the field applicability of the developed program. As a result of surveying validity and class satisfaction, the STEAM education materials of having been developed through this study were indicated to be useful in the aspects of the appropriateness for teaching-material composition, the learning satisfaction, and the promotion in the convergence-based thinking ability. The currently domestic situation is in being short of fundamental discussion about necessity or direction of STEAM education for gifted student, compared to an effort for emphasizing and activating policy of convergence-based education focusing on STEAM. Hence, the outcome of this study, which was performed on the basis of basic research on STEAM education for the gifted student, has significance in the aspect as saying of expanding applicability of STEAM education as the gifted education program.

• The Journal of Korean Association of Computer Education
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• v.4 no.2
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• pp.71-83
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• 2001

The purpose of this study was to explore the status of development, dissemination, and usage of web courseware for elementary school. Also, this study investigated the problems and improvement strategies. The subjects were 52 researchers from Offices of Education and private companies and 528 teachers and 527 students from elementary schools. Questionnaires were used to collect the data. The study results indicated as follows: First, web courseware are insufficient. It is necessary to provide sufficient budgetary support for development of web courseware. Second, many of web courseware are inconsistent with the curriculum and class environment. To resolve this problem, more teachers should be involved in web courseware development. Third, web courseware usage level was very low because of the lack of information and training. In-service training program should be changed from computer literacy oriented to teaching method with web courseware.

• Journal of Digital Convergence
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• v.19 no.2
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• pp.21-32
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• 2021

The current study investigates how Malaysian ESL learners' L2 (English) speaking fluency is reflected in advanced L2 reading and what difficulties they encounter in reading comprehension. Nine Malaysian students attending a Korean university participated in qualitative research using in-depth and semi-structured interviews. The data revealed that L2 was a very familiar language, and their speaking fluency in L2 reduced the anxiety of L2 reading in general. However, it did not play a significant role in reading at an advanced level. Their difficulties in reading were mainly due to a lack of vocabulary knowledge. However, insufficient background knowledge and interest also frustrated their reading tasks. These factors lowered their reading comprehension, causing inaccurate interpretations or discouraging their endeavors to find messages from the given text. Thus, these findings should be carefully addressed in reading classes for Korean L2 learners as well as international students.

• Journal of The Korean Association For Science Education
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• v.20 no.1
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• pp.20-28
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• 2000

We examined how science teachers in academic high schools perceived the 6th science curriculum and how they practiced under the curriculum. A nationwide survey was administered to obtain the responses from 402 teachers of 135 high schools. Most thought that the main themes of curriculum revision were well-embedded in the 'objectives', and that the 'content and content structure' were proper. However, they thought that the 'objectives' were not stated explicitly enough to develop teaching materials and to improve actual teaching and evaluation, and that some statements in the sections of 'method' and 'evaluation' were not proper if considered actual teachers' ability to teach inquiry and educational facilities. Many teachers also felt that the information about the curriculum was not sufficiently included at in-service teacher training programs, and that students' knowledge, attitude, and problem solving ability were not enhanced. Only few teachers were found to apply the STS approaches, reconstruct lessons, vary the structure of learning group, and develop evaluation tools with their colleagues. The lack of the practices was explained by entrance-examination-centered instruction and assessment, poor educational facilities, and lack of innovative teaching materials.

• Journal of KIISE:Software and Applications
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• v.27 no.7
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• pp.769-783
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• 2000

In this paper, in order to disambiguate Korean noun word sense, we define a local context and explain how to extract it from a raw corpus. Following the intuition that two different nouns are likely to have similar meanings if they occur in the same local context, we use, as a clue, the word that occurs in the same local context where the target noun occurs. This method increases the usability of extracted knowledge and makes it possible to disambiguate the sense of infrequent words. And we can overcome the data sparseness problem by extending the verbs in a local context. The sense of a target noun is decided by the maximum similarity to the clues learned previously. The similarity between two words is computed by their concept distance in the sense hierarchy borrowed from WordNet. By reducing the multiplicity of clues gradually in the process of computing maximum similarity, we can speed up for next time calculation. When a target noun has more than two local contexts, we assign a weight according to the type of each local context to implement the differences according to the strength of semantic restriction of local contexts. As another knowledge source, we get a co-occurrence information from dictionary definitions and example sentences about the target noun. This is used to support local contexts and helps to select the most appropriate sense of the target noun. Through experiments using the proposed method, we discovered that the applicability of local contexts is very high and the co-occurrence information can supplement the local context for the precision. In spite of the high multiplicity of the target nouns used in our experiments, we can achieve higher performance (89.8%) than the supervised methods which use a sense-tagged corpus.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.3
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• pp.296-303
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• 2020

This study examined the factors affecting the emergency nursing performance of nursing students during a simulation. The variables related to the simulation were the objective and subjective emergency nursing performance, critical thinking, program outcome, simulation satisfaction, simulation confidence, and simulation immersion. The participants were 92 senior students who provided informed consent with an explanation about attending the study. The general characteristics and simulation-related data were obtained from the students before and after the simulation. An assessor evaluated the objective emergency nursing performance during the simulation and program outcome through a report reviewed after the simulation. Data analysis was performed using the number, percentage, mean, standard deviation, X²-test, one-way ANOVA, Pearson correlation, and progressive regression through the SPSS/WIN 22.0 program. Emergency nursing performance by the assessor was negatively associated with the satisfaction of clinical practice (r=-.31, p=.005) and positively related to the subjective clinical performance (r=.23, p=.036). The affecting rate was just 12%, which was low for explaining the objective emergency nursing performance during the simulation. Further studies will be needed to explore other factors affecting the emergency nursing performance.

• Journal of Korea Water Resources Association
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• v.56 no.8
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• pp.471-484
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• 2023

Deep learning models based on generative adversarial neural networks are specialized in generating new information based on learned information. The deep generative models (DGMR) model developed by Google DeepMind is an generative adversarial neural network model that generates predictive radar images by learning complex patterns and relationships in large-scale radar image data. In this study, the DGMR model was trained using radar rainfall observation data from the Ministry of Environment, and rainfall prediction was performed using an generative adversarial neural network for a heavy rainfall case in August 2021, and the accuracy was compared with existing prediction techniques. The DGMR generally resembled the observed rainfall in terms of rainfall distribution in the first 60 minutes, but tended to predict a continuous development of rainfall in cases where strong rainfall occurred over the entire area. Statistical evaluation also showed that the DGMR method is an effective rainfall prediction method compared to other methods, with a critical success index of 0.57 to 0.79 and a mean absolute error of 0.57 to 1.36 mm in 1 hour advance prediction. However, the lack of diversity in the generated results sometimes reduces the prediction accuracy, so it is necessary to improve the diversity and to supplement it with rainfall data predicted by a physics-based numerical forecast model to improve the accuracy of the forecast for more than 2 hours in advance.