• Journal of The Korean Association For Science Education
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• v.32 no.6
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• pp.1072-1086
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• 2012

Science, Technology, Engineering, and Mathematics (STEM) education in the U.S. has been identified as a significant national reform in K-16 education and curriculum in order to prepare students for the global economy of the 21st century. Korea has been facing very similar challenges to improve science, technology and mathematics education, in particular, the affective aspect of learning science and mathematics. Science, Technology, Engineering, Arts, and Mathematics (STEAM) education has become a crucial issue in Korean education system. The major purpose of this exploratory study is to inform the exemplary framework of STEAM education in the U.S. for Korea and to provide descriptive and analytical accounts on STEAM teaching and learning as an innovative integrated convergence education. This study integrates the outcomes of research papers on STEM education and recent literature. It employs content analysis methodology qualitatively by analyzing and synthesizing the findings, conclusions, discussions, and recommendations of accumulated research works related to STEM/STEAM education. This study will help gain a stronger sense of the STEAM framework and will guide to develop the educational programs for Korea.

• Korean Medical Education Review
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• v.16 no.3
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• pp.147-155
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• 2014

Medical ethics has been integrated into the curriculum for medical education in Korea for over 30 years now. There have been many attempts to establish standards for the educational objectives and curriculum, including establishing learning outcomes and publishing medical ethics textbooks in Korean. However, this task is not easy for several reasons: the interdisciplinary nature of the subject, educators' lack of experience, and the lack of a consensus on the criteria that would be effective educational goals. In this article, the author explores (1) the need for reflection on the education itself, (2) two perspectives of medical ethics education, (3) critical perspectives on the effectiveness of the current medical ethics education, and (4) the variety of modalities of medical ethics education. Further, the author proposes a way to teach medical ethics in Korea. The contents and means are closely related to the question of philosophy of medical education: "Should professional ethics education be 'realistic' or 'idealistic'?" Ethics requires educators to be open to new learning experiences and to ethical development. Medical Ethics education should be relevant to everyday clinical experiences and, at the same time provide students and educators to critically review their ethical perspective through reflections.

• The Mathematical Education
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• v.49 no.3
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• pp.353-373
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• 2010

This research was to help slow learners to be motivated and to make their outcome productive, using GSP based on the mathematization theory for learning mathematics, as a way of encouraging the learner-centered approach. With 2 of the second graders in a high school, who had not yet understood trigonometric functions in their first grade period, 7 units of lesson plans were designed for the research. The results showed that first, understanding real life contexts and analyzing properties by observation, and experiment using GSP, to build the concept of trigonometric functions could be a foothold on which learner's organization and outcome from a horizontal mathematization led to vertical mathematization. Despite the delay during the level-up-stage for a while, the learners could attain the vertical mathematization stage and moreover the applicative mathematization through effective use of GSP and the interaction between the learners or a teacher and the learners. Second, using GSP was a vertical tool of connecting horizontal mathematization with vertical mathematization in forming the concept of trigonometric functions and its meaning could be understood by their verbalizing and presenting the outcomes through their active performance. Using GSP is helpful for slow learners to overcome learning difficulties, based on the instructional materials designed by Realistic Mathematics Education.

• International journal of advanced smart convergence
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• v.8 no.3
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• pp.46-53
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• 2019

When a partitioned structure is derived from a data set using a clustering algorithm, it is not unusual to have a different set of outcomes when it runs with a different order of data. This problem is known as the order bias problem. Many algorithms in machine learning fields try to achieve optimized result from available training and test data. Optimization is determined by an evaluation function which has also a tendency toward a certain goal. It is inevitable to have a tendency in the evaluation function both for efficiency and for consistency in the result. But its preference for a specific goal in the evaluation function may sometimes lead to unfavorable consequences in the final result of the clustering. To overcome this bias problems, the first clustering process proceeds to construct an initial partition. The initial partition is expected to imply the possible range in the number of final clusters. We apply the data centric sorting to the data objects in the clusters of the partition to rearrange them in a new order. The same clustering procedure is reapplied to the newly arranged data set to build a new partition. We have developed an algorithm that reduces bias effect resulting from how data is fed into the algorithm. Experiment results have been presented to show that the algorithm helps minimize the order bias effects. We have also shown that the current evaluation measure used for the clustering algorithm is biased toward favoring a smaller number of clusters and a larger size of clusters as a result.

• Journal of Practical Engineering Education
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• v.9 no.1
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• pp.57-68
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• 2017

The purpose of this study is to analyze the actual preparation process and outcomes of applying RPL in University Dual System based on KOREATECH's case. A comprehensive literature review on prior research and cases was described in this study to assist Korean educational institutions who might be interested in adopting RPL into their organizations. Furthermore, three different levels of support were suggested based on the results of this study for successful adoption of RPL in Korea. Support from national system level, sociocultural level, and university level should be considered carefully for the success of RPL.

• Korean Medical Education Review
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• v.21 no.3
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• pp.155-161
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• 2019

Interprofessional education (IPE) can promote high-quality patient care and good medical outcomes through teamwork among health professionals. However, there are no valid measurements to prove the effectiveness of IPE in Korea. This study aimed to develop and test a Korean version of the Self-efficacy for Interprofessional Experimental Learning Scale (SEIEL). The original SEIEL was translated into Korean by two experienced medical professors, and 368 questionnaires were collected from medical and nursing students (third and fourth year). To analyze the validity of the Korean version of the SEIEL, an exploratory and confirmatory factor analysis was conducted. Cronbach's ${\alpha}$ was used to evaluate reliability. Results from the exploratory factor analysis identified two functions: "interprofessional collaboration" and "interprofessional team evaluation." A significant cross-correlation was found between the two functions (r=0.690, p<0.001), with a Cronbach's ${\alpha}$ value of 0.932. The reliability and validity of the Korean version of the SEIEL was identified in this study. This tool can be helpful in measuring the effectiveness of IPE in Korea.

• Journal of the Korean Society of Safety
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• v.36 no.1
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• pp.56-63
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• 2021

The narrative texts of industrial accident reports help to identify accident risk factors. They relate the accident triggers to the sequence of events and the outcomes of an accident. Particularly, a set of related keywords in the context of the narrative can represent how the accident proceeded. Previous studies on text analytics for structuring accident reports have been limited to extracting individual keywords without context. We proposed a context-based analysis using a Natural Language Processing (NLP) algorithm to remedy this shortcoming. This study aims to apply Word2Vec of the NLP algorithm to extract adjacent keywords, known as word embedding, conducted by the neural network algorithm based on supervised learning. During processing, Word2Vec is conducted by adjacent keywords in narrative texts as inputs to achieve its supervised learning; keyword weights emerge as the vectors representing the degree of neighboring among keywords. Similar keyword weights mean that the keywords are closely arranged within sentences in the narrative text. Consequently, a set of keywords that have similar weights presents similar accidents. We extracted ten accident processes containing related keywords and used them to understand the risk factors determining how an accident proceeds. This information helps identify how a checklist for an accident report should be structured.

• Journal of Engineering Education Research
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• v.25 no.3
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• pp.26-34
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• 2022

Students' questions are essential and important for learning, but previous research and experience of instructors shows that there is a lack of interaction between instructors and students in online classes. This research studies how learners can effectively ask questions in online classes at engineering colleges. Based on two axes of anonymity and openness, the four different types of questioning methods were suggested as 'onymous/public', 'onymous/private', 'anonymous/public' and 'anonymous/private.' In this study, seven communication channels were applied to check their effectiveness in an online class. The results showed that learners' satisfaction with learning outcomes increased compared to previous offline classes, while satisfaction with teaching methods was similar. Additionally, among the four types of questioning methods, the preference and effectiveness of 'anonymous/public' was highest, followed by 'onymous/private'. This study suggests several implications of educational approaches to online education in engineering colleges.

• International Journal of Advanced Culture Technology
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• v.10 no.1
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• pp.1-9
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• 2022

The notion of outcome-based educational paradigm and its adaptability for higher education has become a recent growing and quite stirring trend. In the year 2017-18, this educational philosophy has been embraced by some of the higher educational institutions in Pakistan as well. This research attempts to investigate OBE and non-OBE systems in the context of students learning outcomes and academic attainment levels in engineering education in Pakistan. The study has been conducted on undergraduate students of MUET, Jamshoro, Sindh Pakistan. The students of the software engineering department are taken as the sample. Student cohorts are formed i.e., OBE and non-OBE (traditional/teacher-centered approach) cohorts. The summative assessments of semester exams are used for data analysis descriptive statistics and independent samples t-test is performed to set up the group statistic. The findings of this study show that, in terms of students' performance, the OBE system outperforms the traditional system and this transition in engineering institutions might be beneficial in the future.

• International Journal of Computer Science & Network Security
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• v.22 no.5
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• pp.182-192
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• 2022

All the aspects of human life have been affected by the novel coronavirus (Covid-19). It has rapidly spread in most countries including the Kingdom of Saudi Arabia. As a result, early precautionary actions aiming to minimise the virus effect are taken by the Saudi government. One of these actions is the sudden shift to online classes and suspending the attendees to all educational institutes. Such immediate change can have a significant effect on the educational process, especially for students. One can argue that students' information-seeking behaviour within the current situation can affect their learning quality and outcomes. Therefore, this paper examines the Saudi students' information-seeking behaviour by taking a sample of students from Umm Al-Qura University. A descriptive analysis is conducted with 193 students and two approaches are used to collect data, questionnaire and semi-structured interview. The results showed that the majority of students face difficulties when searching and retrieving e-resources from the university library website. The problems range from mainly poor User Experience (UX), network connection, multiple errors and lack of subscription with academic publishers.