• Korean Medical Education Review
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• v.16 no.1
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• pp.16-24
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• 2014

The development of information technology (IT) has led to changes in medical education. IT has been used for e-learning and e-teaching, e-assessment, e-logistics, and e-administration. Pusan National University School of Medicine has developed its own educational information system using IT to support students' learning and assessment and to manage curricular activities. Based on our experience, we propose six suggestions for designing new software, specifically regarding simplifying the design for users, communication with the programmer, a rapid cycle from design to implementation, orientation support for users, backup and security support, and obtaining patents. Collaborating with the Department of Medical Informatics within the School of Medicine has advantages, and an alliance among medical schools can simplify the development of software. In any case, curricular innovation should precede the introduction of technology because all technologies should support curricular goals.

• Communications of Mathematical Education
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• v.23 no.2
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• pp.429-459
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• 2009

The purpose of this study was to help the students deepen their mathematical understanding and practitioner improve her mathematics lessons. The teacher-researcher developed mathematical situation based problem solving instruction model which was modified from PBL(Problem Based Learning instruction model). Three lessons were performed in the cycle of reflection, plan, and action. As a result of performance, reflective knowledges were noted as followed points; students' mathematical understanding, mathematical situation based problem solving instruction model, improvement of mathematics teachers.

• Journal of The Korean Association of Information Education
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• v.23 no.5
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• pp.499-511
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• 2019

The preceding study of this study developed puzzle-based computer science education programs to enhance the computational thinking of elementary school students over 1 to 3 times. The preceding study then applied such programs into the field, categorized the effects of education into CT creativity and CT cognitive ability to improve the education programs. Based on the results of these preceding studies, the hierarchical Bayesian inference modeling was performed using age and CT thinking ability as parameters. From the results, this study predicted the effectiveness of puzzle-based computer science education programs in middle and high schools and proposed major improvement areas and directions for puzzle-based computer science education programs that are to be deployed in the future throughout middle and high schools.

• Journal of Korean Academy of Rural Health Nursing
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• v.13 no.2
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• pp.25-41
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• 2018

Purpose: In this study undergraduate nursing students' experiences of learning in community health nursing clinical placements was explored on order to develop a more effective practice teaching method. Methods: Focus group interviews (FGI) were held with 11 nursing students in junior or senior year. The interviews were audio-taped semi-structured interviews and were analyzed using content analysis. Results: Nursing students felt that the education system for practice was incomplete in considering the nursing that was needed for their on-site practice. Also they were aware of the totality of the community and voluntarily tried to provide for the expansion of knowledge. Conclusion: Findings indicate a need to establish a cooperative plan between nursing schools and practice agencies and collaborative development in the community health nursing practice guidelines.

• Journal of Korean Society of Rural Planning
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• v.27 no.2
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• pp.77-89
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• 2021

To predict the level of residents' participation in rural tourism project, we used agent-based model. The decision-making mechanism which calculates the utility related to attitude, subjective norm, perceived behavioral control of planned behavior theory was applied to the residents' decision to participate. As a result of the simulation over a period of 20 years, in the baseline scenario set similar to the general process of promoting rural projects, the proportion of indigenous people decreased and the participation rate decreased. In the scenarios with different learning frequencies in perceived behavioral control, overall participation rate decreased. Learning every five years had the effect of increasing the participation rate slightly. Participation rates increased significantly in the scenario that consider economic aspects and reputation in attitude and did not decline in the scenario where population composition was maintained. The virtuous cycle effect of subjective norm according to changes in participation rate due to influence of attitude and perceived behavioral control shows the dynamic relationship.

• International Journal of Computer Science & Network Security
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• v.22 no.4
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• pp.261-273
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• 2022

Over the last decade, the scientific community has been actively developing technologies for automated software bug fixes called Automated Program Repair (APR). Several APR techniques have recently been proposed to effectively address multiple classroom programming errors. However, little attention has been paid to the advances in effective APR techniques for software bugs that are widely occurring during the software life cycle maintenance phase. To further enhance the concept of software testing and debugging, we recommend an optimized automated software repair approach based on hybrid technology (OAPR-HOML'1). The first contribution of the proposed OAPR-HOML'1 technique is to introduce an improved grasshopper optimization (IGO) algorithm for fault location identification in the given test projects. Then, we illustrate an opposition learning based artificial neural network (OL-ANN) technique to select AST node-level transformation schemas to create the sketches which provide automated program repair for those faulty projects. Finally, the OAPR-HOML'1 is evaluated using Defects4J benchmark and the performance is compared with the modern technologies number of bugs fixed, accuracy, precession, recall and F-measure.

• International journal of advanced smart convergence
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• v.12 no.4
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• pp.75-87
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• 2023

We designed to employ an Artificial Intelligence learning model to predict real estate prices and determine the reasons behind their changes, with the goal of using the results as a guide for policy. Numerous studies have already been conducted in an effort to develop a real estate price prediction model. The price prediction power of conventional time series analysis techniques (such as the widely-used ARIMA and VAR models for univariate time series analysis) and the more recently-discussed LSTM techniques is compared and analyzed in this study in order to forecast real estate prices. There is currently a period of rising volatility in the real estate market as a result of both internal and external factors. Predicting the movement of real estate values during times of heightened volatility is more challenging than it is during times of persistent general trends. According to the real estate market cycle, this study focuses on the three times of extreme volatility. It was established that the LSTM, VAR, and ARIMA models have strong predictive capacity by successfully forecasting the trading price index during a period of unusually high volatility. We explores potential synergies between the hybrid artificial intelligence learning model and the conventional statistical prediction model.

• Journal of The Korean Association For Science Education
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• v.35 no.4
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• pp.677-689
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• 2015

The purpose of this study is to derive suggestions and implications to strengthen the science curriculum continuity of Korea through comparative analysis with focus on the continuity of science curriculum in six countries (Taiwan, the United Kingdom, Finland, the United States, Canada, Korea). Original and Korean translations of the national curriculums of each country gathered from NCIC comparatively analyzed the contents of the 'Moon' and 'Rock cycle' based on features of curriculum configuration, vertical, and lateral connectivity. As a result, it was found that the concepts of Big Ideas or Cross-cutting Concept was utilized internationally to strengthen the linkage between grades or subjects. In particular, dealing with the aspect of the system was important. In the comparison of countries for the content, Korea deals with the most frequency on the 'Moon' and 'Rock cycle'. The contents of the chapter about the moon were simply repeated from elementary to high school levels with some variation. Korean science curriculum holds different perspectives and contents about the Rock cycle compared to other countries. In conclusion, Korea's curriculum requires appropriate tools to strengthen curriculum linkage and by doing so, it will be able to take advantage of the systems approach. Moreover, it is important to constitute the curriculum based on a sufficient understanding of the learning development of students according to their grade levels for the effective application of the curriculum.

• Journal of Korean Home Economics Education Association
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• v.31 no.3
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• pp.23-39
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• 2019

The purpose of the study was to analyze the home economics education experts' and teachers' perception of ways to align instruction with evaluation, based on the 2015 revised technology and home economics curriculum for the purpose of developing the independent living competencies, and to provide examples of alignment in practice. The analysis is based on the data from a Delphi study (10 experts) and a survey of technology and home economics teachers(n=422). The results of survey indicated that experts and teachers perceived the instruction-assessment alignment to be most appropriate for project learning-project assessment, followed by project learning-portfolio assessment, problem solving learning-portfolio assessment, and problem solving learning-project assessment, in order. Based on the survey results, a model of instruction-assessment alignment and a teaching-learing plan were presented, based on 'Development task of life cycle and Life plan' unit. This was considered to be a proper method of instructional alignment for the purpose of developing 'independent living competence' with project-learning/project-assessment. The model focuses on consistency between instruction and evaluation, unity in methods, and the availablility of feedbacks of assessment for the improvement of independent living competencies. In conclusion, this study contributes as foundational information for teaching and learning-assessment alignment. Diverse methods of instruction-evaluation alignment is expected for future research.

• Journal of Korean Home Economics Education Association
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• v.33 no.2
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• pp.115-133
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• 2021

The purpose of this study is to develop a teaching-learning plans for middle school Home Economics that practices clothing life in response to climate change. Four steps of analysis, design, development, and evaluation were used for the research. 'Phenomenon and cause, impact (environmental, economic and social) and response (relaxation and adaptation)' were selected as educational content elements for climate change through reviewing the literature related to climate change. Six types of middle school Technology and Home Economics textbooks under the 2015 revised curriculum were analyzed using the selected content elements for climate change as the basis for analysis according to the data type(reading data, picture data, activity data) and clothing use cycle (production, purchase, use, and disposal). Based on the content elements of climate change in the clothing life area extracted through textbook analysis, a total of 12 teaching-learning plans in response to climate change were developed by utilizing various teaching and learning methods, data and media. The teaching-learning plans were designed based on an integrated understanding of the phenomena, causes, effects, and responses of climate change for the students to realize the seriousness of climate change and to exercise positive influence on families and society.