• Journal of the Korea Convergence Society
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• v.12 no.8
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• pp.317-325
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• 2021

By analyzing the recognition analysis and motivation method of the determinants, this study investigates the future development direction of health exercise biodata analysis face-to-face practice education content. The participants were 40 millennial and zoomers (MZ) generation college graduates. Factors related to the decision to participate in face-to-face practice classes in the field of health exercise biodata and bio-digital content convergence technology in the era of COVID-19 were measured. Of the participants, 67.5% voluntarily decided to participate in small group classes while observing social distancing rules. This study presented the most effective and learning motive methods to participate in face-to-face training. Health exercise biodata needs improvement in terms of integrating with adjacent disciplines such as big data.

• Structural Engineering and Mechanics
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• v.83 no.4
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• pp.515-535
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• 2022

The strength models for fiber-reinforced polymer (FRP)-confined normal strength concrete (NC) cylinders available in the literature have been suggested based on small databases using limited variables of such structural members portraying less accuracy. The artificial neural network (ANN) is an advanced technique for precisely predicting the response of composite structures by considering a large number of parameters. The main objective of the present investigation is to develop an ANN model for the axial strength of FRP-confined NC cylinders using various parameters to give the highest accuracy of the predictions. To secure this aim, a large experimental database of 313 FRP-confined NC cylinders has been constructed from previous research investigations. An evaluation of 33 different empirical strength models has been performed using various statistical parameters (root mean squared error RMSE, mean absolute error MAE, and coefficient of determination R²) over the developed database. Then, a new ANN model using the Group Method of Data Handling (GMDH) has been proposed based on the experimental database that portrayed the highest performance as compared with the previous models with R²=0.92, RMSE=0.27, and MAE=0.33. Therefore, the suggested ANN model can accurately capture the axial strength of FRP-confined NC cylinders that can be used for the further analysis and design of such members in the construction industry.

• Journal of Hospice and Palliative Care
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• v.25 no.2
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• pp.55-65
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• 2022

Caring for patients with cancer is highly stimulating and rewarding, attracting health professionals to the field who enjoy the challenge of managing a complex illness. Health professionals often form close bonds with their patients as they confront ongoing disease or treatment impacts, which may be associated with multiple losses involving function and/or eventual loss of life. Ongoing exposure to patient loss, along with a challenging work setting, may pose significant stress and impact health professionals' well-being. The prevalence rates of burnout and compassion fatigue (CF) are significant, yet health professionals have little knowledge on these topics. A 6-week continuing education program consisting of weekly small-group video-conferencing sessions, case-based learning, and an online community of practice was delivered to health care providers providing oncology care. Program content included personal, organization and team-related risk and protective factors associated with CF, grief models, and strategies to mitigate against CF. Content analysis was completed as part of the program evaluation. In total, 189 participants (93% nurses) completed the program, which was associated with significant improvements in confidence and knowledge of CF and strategies to support self and team resilience. Qualitative themes and vignettes from experiences with the program are presented. Key themes included knowledge gaps, a lack of support related to CF and strategies to support resilience, organization-and team-based factors that can inhibit expression about the impacts of clinical work, the health professional as a "person" in caregiving, and the role of personal variables, self-skill practices, and recommendations for education and support for self and teams.

• Steel and Composite Structures
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• v.49 no.2
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• pp.161-180
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• 2023

In the previous research, the axial compressive capacity models for the glass fiber-reinforced polymer (GFRP)-reinforced circular concrete compression elements restrained with GFRP helix were put forward based on small and noisy datasets by considering a limited number of parameters portraying less accuracy. Consequently, it is important to recommend an accurate model based on a refined and large testing dataset that considers various parameters of such components. The core objective and novelty of the current research is to suggest a deep learning model for the axial compressive capacity of GFRP-reinforced circular concrete columns restrained with a GFRP helix utilizing various parameters of a large experimental dataset to give the maximum precision of the estimates. To achieve this aim, a test dataset of 61 GFRP-reinforced circular concrete columns restrained with a GFRP helix has been created from prior studies. An assessment of 15 diverse theoretical models is carried out utilizing different statistical coefficients over the created dataset. A novel model utilizing the group method of data handling (GMDH) has been put forward. The recommended model depicted good effectiveness over the created dataset by assuming the axial involvement of GFRP main bars and the confining effectiveness of transverse GFRP helix and depicted the maximum precision with MAE = 195.67, RMSE = 255.41, and R2 = 0.94 as associated with the previously recommended equations. The GMDH model also depicted good effectiveness for the normal distribution of estimates with only a 2.5% discrepancy from unity. The recommended model can accurately calculate the axial compressive capacity of FRP-reinforced concrete compression elements that can be considered for further analysis and design of such components in the field of structural engineering.

• KIISE Transactions on Computing Practices
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• v.21 no.11
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• pp.681-688
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• 2015

The k nearest neighbor (k-NN) graph construction is an important operation with many web-related applications, including collaborative filtering, similarity search, and many others in data mining and machine learning. Despite its many elegant properties, the brute force k-NN graph construction method has a computational complexity of $O(n^2)$, which is prohibitive for large scale data sets. Thus, (Key, Value)-based distributed framework, MapReduce, is gaining increasingly widespread use in Locality Sensitive Hashing which is efficient for high-dimension and sparse data. Based on the two-stage strategy, we engage the locality sensitive hashing technique to divide users into small subsets, and then calculate similarity between pairs in the small subsets using a brute force method on MapReduce. Specifically, generating a candidate group stage is important since brute-force calculation is performed in the following step. However, existing methods do not prevent large candidate groups. In this paper, we proposed an efficient algorithm for approximate k-NN graph construction by regrouping candidate groups. Experimental results show that our approach is more effective than existing methods in terms of graph accuracy and scan rate.

• Journal of Educational Research in Mathematics
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• v.26 no.2
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• pp.205-224
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• 2016

Nowadays technological instruments are advanced to measure brain waves called EEG. Also, it is important to find some facts that cause students to have mathematic anxiety (MA) and to provide remedy programs to lessen their MA in order to help students cure MA that could contribute to negative self-efficacy toward mathematics and mathematical learning. To find how they change the MA level, a small group of 11 high school students in Suwon city participated for ten weeks at the remedy program based on students' levels of MA diagnosed by MASS instrument (Ko, & Yi, 2011) and proofread by 8 advisors who worked in related research areas. The results showed that the remedy program was effective to lessen students' MA and it should provide a long term period since some negative experiences were accumulated for a long time of his or her past schooling by others such as teachers, peers, and parents. EEG showed that students got better scores on a percent of correct answers and a reaction time and some student' EEG from a group HMA became smaller heights and width in comparison of the other groups.

• Journal of Korean Home Economics Education Association
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• v.32 no.3
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• pp.63-79
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• 2020

This study aimed at analyzing the food safety units of technology and home economics textbooks, as 'safety' emerged as a key concept in the 2015 revised curriculum. From each textbook, the main text, auxiliary elements(including tables, figures, etc.), and related activities were analyzed. According to the results, first, the main texts emphasized the importance of food selection(3.08 pages), food safety hazards(2.93 pages), safe storage and management of food(2.63 pages), and meal preparation with safety and hygiene(0.98 pages). Secondly, when the auxiliary elements were examined, the food safety content was most often presented in the form of tables/illustrations/pictures, followed by supplementary learning materials, activities, captions, end-of-chapter summaries, the chapter introduction and review quiz, and unit introduction. Thirdly, most activities were individual activities rather than small group or collective activities and were focused on investigation, evaluation, craft, application, implementation, inference and judgment, utilization, and proposition. In conclusion, it is recommended for textbooks to evenly distribute the content in the main texts and auxiliary elements, and include more group activities when developing textbooks in the future.

• Korean Journal of Childcare and Education
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• v.10 no.2
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• pp.237-260
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• 2014

This research aims to find out what pre-service teachers are seriously concerned about and what they contemplated during the process of discovering the meanings of teaching, and to reveal the meanings compiled by the pre-service teachers. Furthermore, this research intends to identify the elements considered to help the pre-service teachers continue to construct the meanings of teaching in the education for pre-service daycare teachers by reviewing the process of contemplation. To do so, this study selected a target group of 29 seniors of M University who took the class of 'Teaching Method for Young children' given in the first semester of 2012 and 'Child Care and teaching Practice' given in the second semester of 2012. Research data collection was done based on the paper materials on participant observation, interview, student journals and professor feedbacks and small group discussion. According to the research, the pre-service teachers created the meanings of teaching as they experience confusion between one extreme to another of power and looking easy, having children focused and being focused, just giving and leaving and discrimination and equality. They considered teaching as a process of continuous reconstruction by choosing the best place between the opposites within the context of teaching and understood that teaching is to respect the right of learning for children and at the same time to make efforts to develop inner-self. In addition, to support the pre-service daycare teachers in their efforts to find the nature of teaching in the education program, it is required to review the teaching process from a variety of aspects in the atmosphere where they are not afraid of confusion, and to provide time to meditate alone and share ideas with others.

• Journal of the Korean School Mathematics Society
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• v.24 no.1
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• pp.83-105
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• 2021

In this paper, we analyzed the misconceptions and errors incurred during factorization learning. We also examined whether online individualization classes had a positive effect on students' mathematical achievement. The experiment was conducted for 4 weeks (16 times in total) on middle school juniors in rural areas of Gyeonggi Province, where the influence of private extra education was small. In the class, the 'Google Classroom' was used as a LMS, the video lecture was uploaded to YouTube, and the teacher interacted with the students through "Zoom" and "Facetalk". In the online class situation, students' assignments and test answers were checked in real time through 'Google Classroom', and immediate feedback was provided to the experimental class group's students. However, for the control group students, feedback was provided only to those who desired. A total of 7 achievement evaluations were conducted in the order of pre-test, formative evaluation (5 times), and post-test to confirm the change in students' ability improvement and achievement. Through the formative evaluation analysis, it was possible to grasp the types of errors and misconceptions that occured during the factorization process. Students' errors were divided into four types: theorem or definition distortion error, functional errors such as calculation, operation, and manipulation, errors that do not verify the solution, and no response. As a result of ANCOVA, the two groups did not show any difference from the 1st to 4th formative assessment. However, the 5th formative assessment and post-test showed statistically significant differences, confirming that online individualization classes contributed to improvemed achievement.

• The Korean Journal of Elementary Counseling
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• v.11 no.2
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• pp.299-320
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• 2012

We have information through a variety of media such as language, pictures and internet. Since we get information through texts mostly, we can say that reading ability which enables a person to read a text and understand its meaning basically is the most essential for people to possess. Taking the advantage of the fact that a school is a place where learning and daily-life guidance can be made at the same time, we need to try encouraging students to involve in learning process and feel a sense of accomplishment by adding consultation between a teacher and a student or between a student and a student in Korean subject. This study selected two fifth grade classes of an elementary school of small and medium-sized city as an experimental group and a control group respectively and applied reading strategy program by using interaction of complementary lesson as the number of ten times during five weeks. It focused on making students interested in complementary class and encouraging them to become active participants. This study's goal is to see if the reading strategy program affects students' reading comprehension, metacognition and a sense of self-efficacy The results of the study are as in the following: first, the reading strategy program of complementary lesson is effective in students' reading comprehension and a range of factual understanding and sentimental understanding. Second, the reading strategy program of complementary lesson is effective in adjustment area as a subordinate factor of metacognition. Third, the reading strategy program of complementary lessonis effective in students' sense of self-efficacy. It is shown that experience of using new reading strategy and successful experience and help in peer-group members have a positive effects on a student's sense of self-efficacy. Forth, as the result of satisfaction evaluation over the program with the students' activity report and researchers' observation results, the study shows that the organization and operation of the program influences on students' effort and participation to reach the goal together positively. Through the results as above, we can say that the reading strategy program of complementary lesson have a positive effect on a student's reading comprehension, metacognition and a sense of self-efficacy.