• Child Health Nursing Research
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• v.10 no.4
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• pp.395-405
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• 2004

Purpose: The purpose of this research was to evaluate the application of the Problem-Based Learning(PBL) in nursing with regard to the learning process and learning outcomes. Method: PBL modules were provided to the students so that they could identify the nursing problems related to nutrition, regulation, and elimination, and implement appropriate nursing interventions according to the problems. PBL was also used to develop ability to use self-evaluation for nursing intervention outcomes. The modules were developed by the authors for the course, Nursing 1(3 credits) at Y university, and used during one semester, March to June 2003. Evaluation of the learning process and learning outcomes was done by self-report questionnaires and a semi-structured self -report developed by the authors. Result: The PBL evaluation included role of the facilitators, group work process, and self-directed learning attitude. The students evaluated the facilitator's role positively in fostering positive interactions and cooperative study among students and stimulating students to apply various problem-solving strategies. Students evaluated their own group work performances as a good opportunity to improve their group work participation, contribution, cooperation, and leadership through the PBL session. Their responsibility for their own learning and develop self-directed learning attitudes to connect present learning to long-term goals. Conclusion: Critical thinking, problem solving skills, self-directed learning and group work accomplishments in undergraduate student nurses were fostered and improved through the PBL program.

• ETRI Journal
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• v.46 no.2
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• pp.277-289
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• 2024

In this paper, we describe a neural network-based application that recommends multiple items using dialog context input and simultaneously outputs a response sentence. Further, we describe a multi-item recommendation by specifying it as a set of clothing recommendations. For this, a multimodal fusion approach that can process both cloth-related text and images is required. We also examine achieving the requirements of downstream models using a pretrained language model. Moreover, we propose a gate-based multimodal fusion and multiprompt learning based on a pretrained language model. Specifically, we propose an automatic evaluation technique to solve the one-to-many mapping problem of multi-item recommendations. A fashion-domain multimodal dataset based on Koreans is constructed and tested. Various experimental environment settings are verified using an automatic evaluation method. The results show that our proposed method can be used to obtain confidence scores for multi-item recommendation results, which is different from traditional accuracy evaluation.

• Proceedings of the Korean Society for Technology of Plasticity Conference
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• 1997.03a
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• pp.113-118
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• 1997

A new approach to process optimal design in non-isothermal, non-steady state metal forming is presented. In this approach, the optimal design problem is formulated on the basis of the integrated thermo-mechanical finite element process model so as to cover a wide range of the objective functions and design variables, and the derivative based approach is adopted for conducting optimization by design iteration. The process model, the formulation for process optimal design, and the procedures for the evaluation of the design sensitivity and for design iteration for optimization are described.

• The Korean Journal of Archival Studies
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• no.48
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• pp.180-208
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• 2016

Since the introduction of the Archives Evaluation System in 2008, the Republic of Korea's archives management has undergone many changes and great development. However, there remain process problems in several operations of concerned agencies. These are made up of problems in the system itself (operation-related problem), problems in evaluation indicators, and issues in communication issue between the rating agency and the national archives of the rated institutions. This study was a theorem for such status of the concept, objectives, and the indicators of the institutional evaluation system as it looked into the problems and sought improvement of the systems and indicators. The problems of the evaluation system were felt in the survey of the education field, which was conducted through interviews and phone interviews with the Office of Education's archives managers and researchers. Among the problems found were the assessment period, the number of indicators, evaluation process, the assessment indicators, and the best practices. Moreover, this study summarized the comments of the archives managers on what they believed are needed to improve the field. As a result, it confirmed that structural and fundamental changes in the institutional evaluation system are needed. Based on these findings, this study hopes that an archives management business for the public institutions of the Republic of Korea would be developed in the future.

• Journal of Korean Society of Rural Planning
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• v.5 no.2 s.10
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• pp.30-37
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• 1999

It is necessary to evaluate the location suitability for protected horticulture to plan new protected horticultural facilities in rural areas. For objective and systematic evaluation of location suitability for protected horticulture, three different evaluation models were constructed based on grading, proportion, and analytic hierarchy process(AHP). The three methods were tested to evaluate the location suitability for protected horticulture in three selected regions; suburban, plain, mountainous. The results indicated that the grading method underestimated the difference of importance among grouping categories, compared to the proportion and AHP methods. Based on the results, the AHP method was founded to be better than the other two methods in terms of evaluation process, reproductivity and reliability of the results.

• Journal of Fisheries and Marine Sciences Education
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• v.24 no.5
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• pp.721-738
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• 2012

The objective of this study is to provide university authorities with substantial help in enforcing Microteaching to new professors based on qualitative study. The subjects participated in this study are eleven new professors working for D college located in Busan and the study lasted for ten months from May 2011 to February 2012. The results of this study are as follow: First, new professors took cognizance of Microteaching both as a burdensome task and as a teaching evaluation tool. Second, they had difficulties confronting their exposed teaching realities and accepting the results of teaching evaluation. Third, Microteaching contributed to the shift of professors' attitude from teacher's perspective to students' and the shift of their cognizance from the existing teaching attitude to the improved, innovative, and open teaching attitude. Lastly, this paper proposes that Microteaching enforcement should be made through professors' voluntary participation based on the change of professors' cognizance on Microteaching and Microteaching consulting should be a progress-oriented process rather than an evaluation-oriented process.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2002.11a
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• pp.491-501
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• 2002

Case-based reasoning is emerging as a leading methodology for the application of artificial intelligence. CBR is a reasoning methodology that exploits similar experienced solutions, in the form of past cases, to solve new problems. Hybrid model achieves some convergence of the wide proliferation of credit evaluation modeling. As a result, Hybrid model showed that proposed methodology classify more accurately than any of techniques individually do. It is confirmed that proposed methodology predicts significantly better than individual techniques and the other combining methodologies. The objective of the proposed approach is to determines a set of weighting values that can best formalize the match between the input case and the previously stored cases and integrates fuzzy sit concepts into the case indexing and retrieval process. The GA is used to search for the best set of weighting values that are able to promote the association consistency among the cases. The fitness value in this study is defined as the number of old cases whose solutions match the input cases solution. In order to obtain the fitness value, many procedures have to be executed beforehand. Also this study tries to transform financial values into category ones using fuzzy logic approach fur performance of credit evaluation. Fuzzy set theory allows numerical features to be converted into fuzzy terms to simplify the matching process, and allows greater flexibility in the retrieval of candidate cases. Our proposed model is to apply an intelligent system for bankruptcy prediction.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.39 no.1
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• pp.105-114
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• 2019

Recently, the paradigm of road policy has been focused on user safety. Recently, the number of road facility improvement project has been continuously increased but the economic feasibility (B/C ratio) is insufficient. Therefore, it is necessary to select a reasonable road improvement project through accurate and objective analysis of the road safety evaluation. In this study, to develop a new road safety evaluation method, data were collected based on the current road safety evaluation method for 75 routes including national roads and provincial ones. Based on the collected data, problems were analyzed and utilized as the basic factors of the new road safety evaluation method. Therefore, in this study, traffic accidents were reflected as a general evaluation item by weighing to solve these problems, and the evaluation items were added from experiences and ideas of the local public officials. For each evaluation item, a reasonable weight was determined through AHP (Analytic Hierarchy Process) questionnaire evaluation with highway experts. In addition, the safety index was determined based on the evaluation criteria for each evaluation item. The criteria for evaluating the danger zone are determined by the overall safety index. Finally, the criteria for selection of road improvement projects based on the overall risk level were derived.

• Science of Emotion and Sensibility
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• v.16 no.3
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• pp.397-408
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• 2013

According to increase of concerning in health and entry of aging society, sensor-based smart clothing has developed various type and applications. Sensor-based smart clothing should be designed with considering of the interaction between a human body-device-clothing, such as accuracy of signal, wearability, suitability and the configuration of the sensor and so on. In this respect, these characteristics distinguish sensor-based smart clothing process from clothing process and Sensor-based smart clothing process is expected to be needing requirements Specification for development purpose and interoperability assessment based on requirements engineering. In this study, to assess efficiency of process based on requirement engineering, the sensor-based smart clothing process was deducted in two types by analysis of empirical performance. Presented two process were empirically evaluated through qualitative and quantitative evaluation. As a result, design process II based on requiments engineering were confirmed more effective process than processI.

• The Journal of Asian Finance, Economics and Business
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• v.6 no.3
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• pp.141-149
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• 2019

The paper proposes a knowledge innovation performance model by the dynamic data envelopment analysis with slacks-based measure approach for evaluating the effectiveness of 30 regional knowledge innovation activities in China from 2010 to 2016. In recent years, China has paid more attention to knowledge innovation activities, as central and local governments have pushed on with their innovation projects by lots of investment whatever the difficulties may be. Decision-maker is usually interested in judge its knowledge innovation performance relative to target benchmark by exploring whether one provincial administration region performs better among others and/or if the growth of economy will be benefited greatly by the knowledge innovation activities. To acquire the managerial insight about this issue from a comprehensively designed performance evaluation model, knowledge innovation activity is conceptualized as an intertemporal production process. Invention patent and regional gross product are imposed on desirable outputs, highlighting the need for knowledge economy. The empirical result shows that knowledge innovation has a positive effect on economic development. At the same time, decision-maker should be interest in the economic effect of patents' type and quality. The government should then encourage new technical applications with greater commercial value from a market-oriented perspective, in order to benefit the most from the innovation process in the short-run.