• 대한간호학회지
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• 제26권1호
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• pp.73-93
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• 1996

This study aimed to analyse the test contents of the national examination for the registered nurses (NERN) over 3 years from 1991 to 1993 in Korea. In recent years in Korea, the MCQ(multiple choice question) has been showing to be a highly recognized method for assessing the qualification of registered nurses. Unfortunately, nursing faculties have found NERN had some bad MCQs through having evaluation workshop for Some MCQs often provide so many unwriting clues which become a bias of the results, and some items fell into the category of the lower level of educational taxonomy such as isolated recall a fact or data. Frequently the stems of the questions are ambigous, unclear, disputable, esoterical or trivial. Considering those fallacies of the national examination, it is very critical to review the test items to see whether it is of high quality, is more fair, reliable and objective in depth. Therefore, this study was done to provide data for the improvement of the test contents as well as the teachers's assessment skill. For this study, the ad hoc committee was composed of 16 members, including 5 education board members of Korean Academic Nurses Association and 11 nursing faculty members. This committee had one day panel discussion and filled the checklist for this study. The process of analysing data was held over 10 times during 1992-1994. The analysis focussed on educational taxonomy such as cognitive domain(knowledge), psychmotor domain (skill), affective domain(attitude) and the level of learning such as recall, understanding, problems solving, and learning area of theory and practice, and the learning content categorised by nursing process and disease process. The test analysed using difficulty index and the structure of the test items was analysed. The conclusions and suggestion as follows : 1. In learning area, the average ratio of the theory and practice was 1 : 1.1 which was less than 1 : 2 suggested by Korean National Health Institute, and the ratio was different by the 8 leaning subjects of nursing. 2. In category of the educational taxonomy, the knowledge domain was emphasized mostly（79. 7％）, the skill domain was 14.9％, and the attitude domain was 5.4％ only. 3. In the level of learning, generally, the test items of the level of recall（45.5％） and the understanding（46.3％） were covered almost and the problem solving was 8.1％. 4. In the learning contents, generally, the test items related to nursing process was 67.2％ and that of disease process was 32.8％. However, this proportion was different by the 8 leaning subjects. Even though the nursing diagnosis has been emphasized in nursing curricula recently, the test items of this was identified very few. 5. In the structure of the test item, some were not clear, incorrect grammar, unclear description and some have clues to answer. 6. In the item analysis, the non-acceptable level of the difficulty index (means too easy) was 65.7％, and the acceptable level was 33.9％. Considering the results we would like to suggest the followings, 1. Since the test items of knowledge domain was dominant, the test items of the practice domain and attitude domain should be emphasized more. 2. The regular review and analysis of NERN should be arranged in order to improve the quality of the test items which will give influence to the nursing education positively.

• 의학교육논단
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• 제16권1호
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• pp.42-49
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• 2014

The purposes of this study were to identify and analyze students' attitudes and satisfaction to the portfolio process and assessment for the Introduction to Clinical Medicine course at Ewha Womans University School of Medicine in Seoul, Korea. The subjects consisted of 64 medical school students. Questionnaires consisting of 20 5-point Likert-type items were developed, including three question domains: 1) orientation, 2) portfolios in general, 3) individualized feedback. The mean and median were found and frequency analysis was performed to identify the common characteristics of the participants. A major finding was that 54.7% of the respondents felt that the self-reflection involved in building the portfolio was a valuable learning experience. Plus, the majority of respondents perceived that the individualized feedback had a positive tone and its contents were specific, practical, and constructive. The students perceived that building and writing portfolios heightened their understanding of exit learning outcomes and enhanced their reflective thinking and self-directed learning skills. Meanwhile, some students perceived that there was too much paperwork in the portfolio process and that the process was time consuming. Furthermore, 32.8% of the respondents said that they had difficulty establishing their learning strategies by themselves and self-directing their learning during the portfolio process. In conclusion, it is expected that building a portfolio can help students not only to enhance their ability to accumulate and use their personal learning resources but also to develop the professional qualities required by doctors, such as self-directed learning, self-reflection, lifelong learning, team work, organizational skills, time management and prioritization, and professional thinking and behavior.

• 영재교육연구
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• 제21권1호
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• pp.19-38
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• 2011

이 연구에서는 현재 학생들의 인지양식에 부합되는 UCC 활용 교수 학습 모형(4C 모형)을 영재학생들에게 적용하였을 때 과학 관련 정의적 특성의 효과 면에서 어떤 성별 특성이 있는지 알아보고자 하였다. 이를 위해 영재학급 학생들을 대상으로 UCC 활용 프로젝트학습을 실시한 후 그에 대한 인식을 조사하였고, 과학 관련 정의적 특성에서의 사전 사후 검사 결과를 비모수 검정을 통해 분석해 보았다. 그 결과, 영재학급 학생들은 UCC 활용 프로젝트 학습에 매우 적극적으로 임하였으며 남학생보다 여학생의 흥미와 참여도가 더 높았고, UCC 제작에 관한 어려움은 남학생이 더 많이 느끼는 것으로 나타났다. 또한 남학생들의 경우 유의미한 변화가 없었지만 여학생들의 창의성이 향상되었고, 과학 불안이 감소되었다. 따라서 UCC 활용 프로젝트학습은 남학생보다 여학생에게 더 효과적임을 알 수 있었다.

• 한국IT서비스학회지
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• 제18권2호
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• pp.143-159
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• 2019

Machine learning (ML) is a method of fitting given data to a mathematical model to derive insights or to predict. In the age of big data, where the amount of available data increases exponentially due to the development of information technology and smart devices, ML shows high prediction performance due to pattern detection without bias. The feature engineering that generates the features that can explain the problem to be solved in the ML process has a great influence on the performance and its importance is continuously emphasized. Despite this importance, however, it is still considered a difficult task as it requires a thorough understanding of the domain characteristics as well as an understanding of source data and the iterative procedure. Therefore, we propose methods to apply deep learning for solving the complexity and difficulty of feature extraction and improving the performance of ML model. Unlike other techniques, the most common reason for the superior performance of deep learning techniques in complex unstructured data processing is that it is possible to extract features from the source data itself. In order to apply these advantages to the business problems, we propose deep learning based methods that can automatically extract features from transaction data or directly predict and classify target variables. In particular, we applied techniques that show high performance in existing text processing based on the structural similarity between transaction data and text data. And we also verified the suitability of each method according to the characteristics of transaction data. Through our study, it is possible not only to search for the possibility of automated feature extraction but also to obtain a benchmark model that shows a certain level of performance before performing the feature extraction task by a human. In addition, it is expected that it will be able to provide guidelines for choosing a suitable deep learning model based on the business problem and the data characteristics.

• 한국과학교육학회지
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• 제28권5호
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• pp.409-423
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• 2008

최근 과학교육 분야의 연구들에 의하면 학생들은 과학수업 시 다양한 어려움을 지각하며 수업 후에도 이러한 어려움이 잘 해소되지 않는다는 연구 결과가 보고되고 있다. 그러나 학생들이 느끼는 과학학습의 어려움과 그 원인을 조사하여 이를 해소시키기 위한 연구는 아직 부족한 실정이다. 따라서 학생들의 과학학습 어려움에 대한 체계적인 분석과 더불어 어려움을 해소하고 학습효과를 향상시킬 수 있는 새로운 수업모형 개발이 필요하다. 본 연구에서는 최근의 과학학습 과정에서 학생의 겪는 어려움과 기존 과학수업 모형에 관한 선행연구들을 조사하여, 이 결과를 통합적 정신모형이론 관점에서 분석하였다. 이러한 과정을 거쳐 과학학습 어려움 해소를 도울 수 있는 통합적 정신모형 이론에 기반한 4M 순환학습 수업모형을 개발하였다.

• 한국수학교육학회지시리즈A:수학교육
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• 제51권1호
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• pp.77-88
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• 2012

This qualitative research provides a situation model, which is designed for promoting learning of eigenvalue and eigenvector. This study also demonstrates the usefulness of the model through a small groups discussion. Particularly, participants of the discussion were asked to decide the numbers of milk cows in order to make constant amounts of cheese production. Through such discussions, subjects understood the notion of eigenvalue and eigenvector. This study has following implications. First of all, the present research finds significance of situation model. A situation model is useful to promote learning of mathematical notions. Subjects learn the notion of eigenvalue and eigenvector through the situation model without difficulty. In addition, this research demonstrates potentials of small groups discussion. Learners participate in discussion more actively under small group debates. Such active interaction is necessary for situation model. Moreover, this study emphasizes the role of teachers by showing that patience and encouragement of teachers promote students' feeling of achievement. The role of teachers are also important in conveying a meaning of eigenvalue and eigenvector. Therefore, this study concludes that experience of learning the notion of eigenvalue and eigenvector thorough situation model is important for teachers in future.

• 한국정보시스템학회지:정보시스템연구
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• 제26권3호
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• pp.273-293
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• 2017

Purpose The purpose of this study is to introduce a framework that helps Muslims to determine whether a food can be consumed. It can complement existing Halal food classification services having a difficulty of constructing Halal food database. Design/methodology/approach The proposed framework includes two components. First, OCR(Optical Character Recognition) technique is utilized to read the food additive information. Second, machine learning methods were used to trained and predicted to determine whether a food can be consumed using the provided information. Findings Among the compared machine learning methods, SVM(Support Vector Machine), DT(Decision Tree), and NB(Naive Bayes), SVM with linear kernel and DT had excellent performance in the Halal food classification. The framework which adopting the proposed framework will enhance the tourism experiences of Muslim tourists who consider keeping the Islamic law most importantly. Furthermore, it can eventually contribute to the enhancement of smart tourism ecosystem.

• 한국과학교육학회지
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• 제24권4호
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• pp.687-708
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• 2004

The purpose of this study is to investigate the relationships between cognitive conflict and students' causal attributions and to find out what kinds of attributions affect successful resolution of cognitive conflict in learning physics. Twenty-nine college students who attended a base general physics course took an attribution test and a conceptual pretest related to action and reaction concept. Of these, twenty students who revealed alternative conceptions were selected. They were confronted with a discrepant demonstration and took part in the cognitive conflict level test, a posttest, and delayed posttest. Those students who experienced high levels of cognitive conflict were selected and interviewed to find out what kinds of attributions affect resolving the conflict. When confronted with the discrepant event, the students who attributed success outcomes to "effort" experienced higher levels of cognitive conflict than those to "task difficulty." However, those students who revealed high levels of cognitive conflict and attributed success outcomes to effort did not always produce conceptual change. They had different perspectives on effort and conducted different effort activities to resolve the cognitive conflict. In addition, these effort activities appeared to include their motivational beliefs, metacognitive and volitional strategies. The results of this study indicate that in order for the conflicts to lead to change, students need to have the perspective on effort implying the use of the self-regulated learning strategy and to conduct effort activities based on them. Beyond cold conceptual change, this article suggests that there is a management strategy of cognitive conflict in the classroom context.

• 디지털콘텐츠학회 논문지
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• 제14권2호
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• pp.235-245
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• 2013

최근 '영어 회화'에 대한 국민적 관심이 지속되고, '스마트폰 게임'이 게임 산업의 주류로 급부상하고 있다. 이에 본 논문에서 영어 회화 학습과 스마트폰 게임을 접목하여 '영어 회화 학습을 위한 스마트폰 기능성 게임'을 설계 및 구현하였다. 영어 문장 패턴 구조를 단어, 구문, 문장으로 나누어 단계적 반복학습을 유도하였으며, 스테이지별 다른 유형의 게임을 통하여 흥미를 제공하고자 하였다. 그러나 테스트 결과 지속적인 사용자 흥미 유발에는 보완되어야 할 부분이 도출되었으며 이를 개선하기 위한 게임의 변화요소 추가 및 난이도 조정 등의 연구가 뒤따라야 할 것이다.

• International Journal of Advanced Culture Technology
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• 제8권2호
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• pp.101-108
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• 2020

One difficulty in language learning is the training of reading ability. The improvement on this ability directly affects the process and effect of language learning. At the same time, there are numerous difficulties in actual learning and teaching. Depending on current research, there is two ideas that can utilize to enhance the reading efficiency of learners. One is to amend objective factors; the other is to change subjective factors. Compared with the two ideas, idiosyncratic factors are more manipulable and controllable, so it is more valuable to conduct researches on this. But among the many subjective factors, the degree of their effectiveness is not the same, so this article attempts to compare and analyze the driving effects of two important subjective factors (peer-driven and task-driven) on reading performance. The results show that both factors can have a positive impact on reading comprehension, but different in driving effects. The task-driven has obvious short-term effectiveness; while peer-driven needs to establish its long-term effect on the basis of early coordination and cooperation among team members. Therefore, in order to maximize the achievement of learning, it is necessary to combine strengths and avoid weaknesses according to the characteristics of two factors, so as to help learners improve reading ability most efficiently.