• The Mathematical Education
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• v.55 no.2
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• pp.171-192
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• 2016

As teachers' competency is evaluated based on their teaching performance. pre-service teachers need to have an opportunity to reflect on themselves by systematically analyzing and evaluating their own lesson planning and teaching performance through self-assessment. In this study, we aimed to examine what evaluation criteria for lesson planning and teaching performance pre-service mathematics teachers consider in the process of self-assessment. This study used a mixed-methods research design. To draw the self-evaluation criteria for lesson planning and teaching performance, pre-service self-reported assessments were analyzed using qualitative analyses. In addition, descriptive statistics were used to investigate the pre-service teachers' distribution across the criteria and check the ratio of pre-service mathematics teachers for each element. As a result, it was disclosed that pre-service mathematics teachers considered eight elements in self evaluating their own lesson planning and teaching performance. In addition, we found that pre-service mathematics teachers tended to consider Pedagogical Content Knowledge (PCK) more than Subject-Matter Knowledge (SMK). Moreover, the results of this study provide educational implications for the curriculum in the pre-service teacher's education program.

• International Commerce and Information Review
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• v.16 no.3
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• pp.141-158
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• 2014

This research is intended to improve the performance of "small and medium companies international marketing program" by screening the performance indicators of the program. The program aims to prepare SMEs to penetrate foreign market and become global companies eventually. This research analyzed the current SMEs international marketing programs based on Logic Model to find the current performance measurement lacks in qualitative indicators and process evaluation with focusing on quantitative indicators and short term result evaluation. Therefore, the measurement indicators should be balanced between process and results including mid-term and long term results.

• IE interfaces
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• v.14 no.4
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• pp.421-428
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• 2001

The economic effects of informatization are differently occurred according to industry types. Thus an evaluation methodology which reflects the industry type characteristics of informatization is needed. In this paper, we develop and analyze the indices for evaluating economic effects through informatization according to industry types, such as manufacturing, construction, financial services and marketing services. The factors related to performance of enterprise informatization can be defined as cost factors, effect factors, risk factors and influence factors. Effect factors are defined as quantitative or qualitative performance of informatization and classified into operational effect factors and strategic effect factors. The influence factor is defined as characteristics of informatization for industry types, that is, value chain of business and business products or services. Economic effect indices are classified according to the activity of business value chain. Economic effects indices of this research can be expected to play a role of general and standardized factors for economic evaluation of industry informatization.

• Journal of the Korean Institute of Landscape Architecture
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• v.51 no.2
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• pp.120-130
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• 2023

This study aims to develop a Park Performance Assessment Tool (PPAT) to qualitatively evaluate the level of urban neighborhood park services. The Park Performance Assessment Tool (PPAT) development process is as follows. First, a pool of evaluation items was formed by analyzing domestic and foreign cases related to the Park Performance Evaluation Tool (PPAT). Second, evaluation items were refined considering domestic park conditions through expert advisory meetings and pilot evaluations. Third, the reliability of the Park Performance Evaluation Tool (PPAT) was verified through pilot evaluations. Fourth, weights for each evaluation item were derived through an expert survey and AHP analysis. Fifth, a Park Performance Evaluation Tool (PPAT) evaluation table and evaluation guidelines were prepared. The developed Park Performance Assessment Tool (PPAT) was applied to 22 neighborhood parks in Bupyeong-gu, Incheon to evaluate the quality of the physical environment. As a result of the evaluation, several urban neighborhood parks that need improved park services were identified. The Park Performance Evaluation Tool (PPAT) is expected to be used to establish a basic plan for parks and green spaces, select priority and project promotion methods for park maintenance projects, and certify excellent parks

• Journal of Information Technology Applications and Management
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• v.29 no.6
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• pp.63-80
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• 2022

In this paper, we study structural changes and performance gains in condition-based maintenance process redesign when mobile IoT technology is embedded into urban railway rolling stock. We first develop condition-based maintenance To-Be process model in accordance with the IoT deployment scheme. Secondly, we draw upon theoretical framework of redesign process analysis to develop performance evaluation method suitable to predictive maintenance shift from As-Is ordinary maintenance practice. Subsequently, To-Be process performance evaluations are conducted adopting both the quantitative and qualitative method for time, cost, and dependability dimensions. The results ascertain the considerable benefits captured through detection abnormality prior to actual rolling stock failure occurrence, and details of performance improvements and enhancement of standardization level is revealed. The procedures and results presented in this paper offers useful insights in the fields of IoT economic analysis, condition based maintenance, and business process redesign.

• KIEAE Journal
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• v.16 no.3
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• pp.5-12
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• 2016

Purpose: In case of existing building, A lot of attempts are being made like changing thermal system or using high efficiency products to decrease energy load and increase energy efficiency. However, (1) Absence of systemed database of green-remodeling technology and products. (2) Absence of comparative analysis system and qualitative/quantitative evaluation method of energy performance and energy reduction cost. (3) Existing remodeling was very hard to access for non-experts. So, in this paper, the authors developed data base for green-remodeling(Impact Table A, Impact Table B) and optimum combination dedication tool for user convenience. Accordingly, purpose of this paper validate usefulness of Impact Table and optimum alternative dedication tool. Method: For validate the usefulness of Impact Table and optimum combination dedication tool, the authors selected five test model office buildings. Next, through research investigation, the authors diagnosed the present state of buildings. In base of diagnosis results, select technologies for remodeling by qualitative comparison (Impact Table A). Next, evaluate quantitative price and performance technologies that selected in Impact Table A (Impact Table B). Lastly, through final evaluation of Impact Taba A and Impact Table B, determine the direction of the green-remodeling. Result: Impact Table and optimum combination dedication tool can use relative indicator for green-remodeling, especially through ROI by detail field.

• The Journal of the Korea Contents Association
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• v.15 no.10
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• pp.18-25
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• 2015

After the Korean Wave with the industrialization of acting arts, scientific actors management has been demanded for the purpose of investment stabilization in related areas. This study was undertaken to develop a new convergence actors evaluation model applying inter-disciplinary research. The assessment factors were selected through literature reviews and the consensus of experts has been derived through Delphi Method. In conclusion, the evaluation criteria for the actors were drawn by 10 different factors. They are composed of qualitative factors such as the ability of acting and communication, degree of understanding of works and production system, actor philosophy and stability of the actors' self-management, physical condition and image, passion and enthusiasm for acting and works, and performance factors such as the stardom, fandom, philmography, audience share and ticket power, and network size and quality.

• IEMEK Journal of Embedded Systems and Applications
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• v.17 no.5
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• pp.273-280
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• 2022

Along with the advancement of deep learning technology, securing high-quality dataset for verification of developed technology is emerging as an important issue, and developing robust deep learning models to the domestic road environment is focused by many research groups. Especially, unlike expressways and automobile-only roads, in the complex city driving environment, various dynamic objects such as motorbikes, electric kickboards, large buses/truck, freight cars, pedestrians, and traffic lights are mixed in city road. In this paper, we built our dataset through multi camera-based processing (collection, refinement, and annotation) including the various objects in the city road and estimated quality and validity of our dataset by using YOLO-based model in object detection. Then, quantitative evaluation of our dataset is performed by comparing with the public dataset and qualitative evaluation of it is performed by comparing with experiment results using open platform. We generated our 2D dataset based on annotation rules of KITTI/COCO dataset, and compared the performance with the public dataset using the evaluation rules of KITTI/COCO dataset. As a result of comparison with public dataset, our dataset shows about 3 to 53% higher performance and thus the effectiveness of our dataset was validated.

• Korean Medical Education Review
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• v.20 no.2
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• pp.91-102
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• 2018

This study explored medical students' major research topics and research methods by analyzing 184 academic articles pertaining to the characteristics of medical students from 2007 to 2017. Results showed many papers dealing with medical students' emotional and cognitive aspects, student counseling, clinical practice education, and curriculum management. According to the medical education accreditation board, research trends were found mostly in the student and curriculum areas of learner characteristics, medical humanities, student counseling, clinical practice education, and curriculum management. Common research topics have been steadily increasing since the introduction of the evaluation accreditation standard in 2012. Medical students predominantly used quantitative research methods for the studies. In the future, it is necessary to ensure that research topics such as CQI, digital- and performance-based clinical practice, and convergent curriculum within the Fourth Industrial Revolution are being studied. In addition, it is crucial to investigate learners' unique, dynamic, and qualitative characteristics through qualitative and mixed methods.

• Journal of Information Technology Applications and Management
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• v.26 no.3
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• pp.19-27
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• 2019

In this study, we propose a methodology for predicting the movie audience based on movie information that can be easily acquired before opening and effectively distinguishing qualitative variables. In addition, we constructed a model to estimate the number of movie audiences at the time of data acquisition through the configured variables. Another purpose of this study is to provide a criterion for categorizing success of movies with qualitative characteristics. As an evaluation criterion, we used information gain ratio which is the node selection criterion of C4.5 algorithm. Through the procedure we have selected 416 movie data features. As a result of the multiple linear regression model, the performance of the regression model using the variables selection method based on the information gain ratio was excellent.