• Korean Journal of Adult Nursing
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• v.24 no.6
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• pp.627-634
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• 2012

Purpose: The purpose of this study was to identify registered nurses learning needs about physical assessment. Specifically, what are the perceived competency, frequency of skill use and the unmet training needs. Methods: The study was an exploratory survey study. The sample was 104 registered nurses. Data were collected through three instruments: The Perceived Competency in Physical Assessment Scale, the Frequency of Physical Assessment Scale, and the Training Needs of Physical Assessment Scale which incorporated 30 core Physical Assessment skills. Descriptive statistics, t-test, and Pearson's correlation coefficient were used to analyze the data. Results: Auscultation of heart and lung sounds and inspection of the spine were rated by the subjects as physical assessment skills they feel least competent and also were less frequently performed. The most competent area for physical assessment was neurological system. The respiratory and abdominal system was identified as two systems that more education would be needed. Nurses with less than one year of working experience reported needing more training. Nurses with more than five years of clinical work experience performed physical assessment more frequently than nurses with less than five year of work experience. The perceived competency was positively related to the frequency of physical assessment. Conclusion: Continuing education is necessary to further train registered nurses regarding physical assessment skills and the program needs to be focused on the area which nurses are less competent for and have high training need.

• Korean Security Journal
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• no.23
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• pp.133-153
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• 2010

The purpose of this research was to identify the relationship among achievement goal orientation, passion and exercise performance of Security Martial-Art participants. this research chose people who were learning Security Martial-Art participants and used the random sample to select those persons. To process the data, this research conducted exploratory factor analysis, reliability analysis, and correlation analysis with SPSS 15.0 program. And implemented confirmatory factor analysis and structure model analysis with AMOS 7.0. The results were as follows. first, achievement goal orientation of Security Martial-Art participants had significantly positive influence on passion. second, passion of Security Martial-Art participants had not significantly positive influence on exercise performance. third, achievement goal orientation of Security Martial-Art participants had not significantly positive influence on exercise performance.

• Journal of Digital Convergence
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• v.15 no.1
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• pp.393-401
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• 2017

This article aims to suggest a principle frame and direction for the development of the character education program using Maumgram. Maumgram is said to clearly illustrate step-by-step structures of character education, for which the human mind is classified as four types(indulged type, rage-type, competition type, selfishness type) on the basis of the existing analytical psychology and Yogacara Thought. The design of the mind type program is composed of three steps. The first step is the 'discovery' step to awaken the cause of self-consciousness through observation, and the second is the 'conversion' step. Learning process to control the negative desires in a positive desire, and the third is the 'relationship'-oriented step to promote a sense of community with other people.

• Journal of the Korean Society for Library and Information Science
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• v.50 no.2
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• pp.25-45
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• 2016

This study investigates how high school students with low academic achievement seek and use information. Participants were seven US students in an American Literature and Composition course of the $11^{th}$ grade Remedial Education Program who completed a class project that required comprehensive information seeking and use. Data were collected through comprehensive observation and individual interviews with each student, the teacher, and two library media specialists. Additionally, we gathered and analyzed the instructions the teacher and the two library media specialists provided and all documents each student produced to complete the class project. The process of data analysis was supported by QSR NVivo. The findings of the study implied that students experienced cognitive and affective challenges for their information seeking and use required for the tasks and suggested that technological and individual conferencing would motivate the students to continue their information seeking and use. We then conclude the study with some important implications that can be used as a basis for designing information literacy instructions for students with low academic achievement.

• Research in Mathematical Education
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• v.23 no.1
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• pp.23-45
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• 2020

Many researches proposed different models and concepts for the PCK. It is important to understand its composition. Most studies investigated the development of PCK and its influence on students' learning from the teachers' perspectives. We developed an instrument for assessing middle school students' perceptions of mathematics teachers' PCK (SPOMTPCK) to investigate the nature of PCK. Theoretical claims and empirical research in PCK were used to design questions and sub-scales for the SPOMTPCK. The face validity of the instrument was established by the expert mathematics teachers and students. A questionnaire consisting of 38 items on a five-point Likert-type scale was used for data collection from 799 middle school students. The exploratory factor analyses resulted in the development of a three-factor scale of 17 items that was proved valid and reliable, that is, pedagogical representation, understanding students and curriculum, and encouraging students' engagement. The Cronbach α coefficients of the scale was 0.935, and the Cronbach α coefficient of three factors were ranged from 0.721 to 0.912. The confirmatory factor analysis showed that the questionnaire has good construct validity and the fit indexes are good. MANOVA analysis of variance revealed that the differences in mathematics teachers' PCK identified by students of different school types and grades were statistically significant. It is a validate measurement to evaluate the perceived mathematics teachers' PCK for middle school students.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.6
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• pp.313-324
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• 2022

The goal of this research is to see how closely accounting programs in Saudi Arabian colleges comply with the International Accounting Education Standards (IESs). Further, it aims to assess the level of awareness and knowledge of IESs among accounting academics and to examine the possible explanatory factors for their variation. A structured questionnaire was sent to accounting faculty members at 37 Saudi universities. Out of 541 distributed questionnaires, a total of 102 usable responses were received from 26 universities. The findings show that accounting programs in Saudi universities are partially compliant with the guidelines of IESs and accounting academics in those universities are moderately aware of IESs. High variation in the level of academics' knowledge of IESs was detected and was significantly influenced by industry work experience, academic ranks, and professional qualification. The findings of this study suggest that Saudi Universities should work closely with the local and international accounting professional bodies, i.e. the Saudi Organization for Chartered and Professional Accountants (SOCPA) and the International Federation of Accountants (IFAC) to improve accounting programs based on the guidelines of IESs to cope with the recent changes in the capital market of the kingdom and the adoption of the International Financial Reporting Standards.

• Journal of Information Processing Systems
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• v.19 no.6
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• pp.830-841
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• 2023

Tokenization is the process of segmenting the input text into smaller units of text, and it is a preprocessing task that is mainly performed to improve the efficiency of the machine learning process. Various tokenization methods have been proposed for application in the field of natural language processing, but studies have primarily focused on efficiently segmenting text. Few studies have been conducted on the Korean language to explore what tokenization methods are suitable for document classification task. In this paper, an exploratory study was performed to find the most suitable tokenization method to improve the performance of a representative spatio-temporal document classifier in Korean. For the experiment, a convolutional neural network model was used, and for the final performance comparison, tasks were selected for document classification where performance largely depends on the tokenization method. As a tokenization method for comparative experiments, commonly used Jamo, Character, and Word units were adopted. As a result of the experiment, it was confirmed that the tokenization of word units showed excellent performance in the case of representative spatio-temporal document classification task where the semantic embedding ability of the token itself is important.

• Journal of Intelligence and Information Systems
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• v.28 no.1
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• pp.69-88
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• 2022

One of the characteristics of South Korea's economic structure is that it is highly dependent on exports. Thus, many businesses are closely related to the global economy and diplomatic situation. In addition, small and medium-sized enterprises(SMEs) specialized in exporting are struggling due to the spread of COVID-19. Therefore, this study aimed to develop a model to forecast exports for next year to support SMEs' export strategy and decision making. Also, this study proposed a strategy to recommend promising export countries of each item based on the forecasting model. We analyzed important variables used in previous studies such as country-specific, item-specific, and macro-economic variables and collected those variables to train our prediction model. Next, through the exploratory data analysis(EDA) it was found that exports, which is a target variable, have a highly skewed distribution. To deal with this issue and improve predictive performance, we suggest a separated learning method. In a separated learning method, the whole dataset is divided into homogeneous subgroups and a prediction algorithm is applied to each group. Thus, characteristics of each group can be more precisely trained using different input variables and algorithms. In this study, we divided the dataset into five subgroups based on the exports to decrease skewness of the target variable. After the separation, we found that each group has different characteristics in countries and goods. For example, In Group 1, most of the exporting countries are developing countries and the majority of exporting goods are low value products such as glass and prints. On the other hand, major exporting countries of South Korea such as China, USA, and Vietnam are included in Group 4 and Group 5 and most exporting goods in these groups are high value products. Then we used LightGBM(LGBM) and Exponential Moving Average(EMA) for prediction. Considering the characteristics of each group, models were built using LGBM for Group 1 to 4 and EMA for Group 5. To evaluate the performance of the model, we compare different model structures and algorithms. As a result, it was found that the separated learning model had best performance compared to other models. After the model was built, we also provided variable importance of each group using SHAP-value to add explainability of our model. Based on the prediction model, we proposed a second-stage recommendation strategy for potential export countries. In the first phase, BCG matrix was used to find Star and Question Mark markets that are expected to grow rapidly. In the second phase, we calculated scores for each country and recommendations were made according to ranking. Using this recommendation framework, potential export countries were selected and information about those countries for each item was presented. There are several implications of this study. First of all, most of the preceding studies have conducted research on the specific situation or country. However, this study use various variables and develops a machine learning model for a wide range of countries and items. Second, as to our knowledge, it is the first attempt to adopt a separated learning method for exports prediction. By separating the dataset into 5 homogeneous subgroups, we could enhance the predictive performance of the model. Also, more detailed explanation of models by group is provided using SHAP values. Lastly, this study has several practical implications. There are some platforms which serve trade information including KOTRA, but most of them are based on past data. Therefore, it is not easy for companies to predict future trends. By utilizing the model and recommendation strategy in this research, trade related services in each platform can be improved so that companies including SMEs can fully utilize the service when making strategies and decisions for exports.

• Journal of Digital Convergence
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• v.10 no.5
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• pp.27-35
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• 2012

The importance of smart learning (SL) has been emphasized in schools. Additionally, the significance of smart work (SW) in improving business performance has gained much attention among industries. From theoretical, technological, and environmental perspectives, SL and SW are somewhat similar. Therefore, a case study was performed to find a way to link SL and SW, and a linking model was proposed for this purpose. Because laptops are considered a pivotal element in the technological aspect of SL, graduate students' use of personal laptops in classes (Bring Your Own Laptop, BYOL) was investigated. The results showed that the students reacted positively to the idea of using personal laptops in class and that they expected to learn IT skills more effectively this way. They listed being able to study even after class and the easy accessibility of relevant data as the strengths of BYOL. However, they cited the heaviness of the laptops and occasional loss of focus during classes as the weaknesses of BYOL. Thus, this study showed the possibility of that students who experience SL can perform better in an SW situation. Therefore, if a policy is enacted that allows students to efficiently use laptops, a greater number of educational achievements will be attained on smart campuses and, subsequently, a greater number of smart workers will be produced.

• Journal of Science Education
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• v.37 no.3
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• pp.513-524
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• 2013

The purpose of this study is to provide the proper methods of presenting question materials for generate of various question by comparing type, level, objectivity, manipulation of question in the presenting methods of question phenomena. I selected and showed actual objects, movies, and photographs as ways of presenting question materials, to each of which three question tasks were assigned. The generated questions by students were compared. The results showed that the question of conjectural, predictive, methodological, exploratory, verificational, qualitative, quantitative, simple-manipulative, pre-manipulative questions turned out to have significantly higher average frequencies in the cases of the presentation of photographs and movies than in the cases of the presentation of actual objects. However, the question of post-manipulative questions turned out to have significantly higher average frequencies in the cases of the presentation of actual objects than in the cases of the presentation of photographs and movies. and There were no significant differences between individual methods of question task presentation in average frequencies with respect to causal and methodological, subjective questions. Thus, we have learned from this that methods of presenting question phenomena had influence on the students' question. This suggests that we should consider forms of presentation of question materials in planning the teaching-learning of question.