• Journal of Teachers' Pension
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• v.3
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• pp.279-305
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• 2018

공적연금제도는 장기적 유지 및 운영을 위해 기금의 재정건전성 및 지속가능성 진단을 목적으로 재정계산제도를 운영하고 있다. 정확한 재정계산은 매우 중요하며 이를 위한 선행작업으로 재정계산에 요구되는 기본 가정들을 보다 합리적으로 추정해야 할 필요가 있다. 본 연구는 로지스틱 회귀분석(logistic regression)을 이용하여 사학연금의 재정계산에 적용되는 다양한 기초율들 중 퇴직률을 산출하는 것에 그 목적이 있다. 사학연금은 현재 퇴직률을 교원 및 직원에 대하여 각 성별로 총 4개 집단을 구분하여 각 집단별 가입연령과 재직기간에 따라 산출하고 있다. 그러나 본 연구에서는 학교급 등 퇴직률 산출에 있어 보다 유의한 집단 구분이 있는지를 확인하고 보정의 어려움을 피할 수 있는 하나의 대안으로서 로지스틱 회귀분석을 이용하여 퇴직률을 산출해 보았다. 또한 우수한 모형을 판별하기 위해 통계적으로 우수한 모형보다는 실무적으로 사학연금 재정추계에 적합한 모형을 찾는 것을 목표로 하여 퇴직률을 추정한 값을 제시하였다.

• Journal of Digital Convergence
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• v.15 no.4
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• pp.1-11
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• 2017

The purpose of the study is to develop an online measurement scale for diagnosing self-directed learning ability for students in Korea. In order to achieve the goal, literature review, case analyses, and experts interview were carried out and finalized the blended-learning based SMMIS model. A total of 1,626 elementary, middle and high school students participated in the scale survey to validate the credibility and validity. Based on these results, an online measurement tool for self-directed learning was developed. The tool can be used in blended-learning environment to maximize its effectiveness. In conclusion, we discussed about implications and strategies for the blended-learning based on self-directed learning program model for young students, and suggested future vision and further research.

• The Journal of the Korea Contents Association
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• v.12 no.10
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• pp.510-523
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• 2012

The purpose of this study is to evaluate an airline service training program based on the CIPP model. Evaluation areas were divided into context, input, process, and product. We analyzed the factors which influenced program satisfaction and recommendation of the training program. Two hundred and one learners who participated in an airline service training program were selected for a survey. The results of this study are as follows. The factors which positively influenced training satisfaction were educational goals in context evaluation, interaction between learners and instructors, managing programs in process evaluation, and training performance in product evaluation. The factor which negatively influenced training satisfaction was human resources in input evaluation. On the other hand, the factors which positively influenced training recommendation were educational goal, assessing needs in context evaluation, interaction between learners and instructors, supporting programs in process evaluation, and training performance in product evaluation. The factor which negatively influenced training recommendation was assessing needs in context evaluation. The results of this study are expected to make an important contribution to the development of service training programs in airlines.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.04a
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• pp.1429-1432
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• 2011

도시재생 업무분야에서 정보체계의 실질적 활용을 도모하기 위해서는 특화된 정보생산 및 관리 모형이 필요하다. 도시재생 종합 DB는 도시 쇠퇴진단, 잠재력 평가, 우선대상지 선정 등 업무 수행을 위해 요구되는 정보수요와 전문가 및 일반인을 대상으로 하는 다양한 서비스 수요에 기반하고 있다. 본 연구에서는 기존의 연구 성과 및 현재 진행 중인 시스템 모형을 분석하여 구축대상 정보를 구성하고 이를 공간정보 기반에서 재구성하여 효과적으로 활용할 수 있도록 정보 모형을 수립하고 구현방안을 제안하였다. 제시된 정보 모형을 통해 도시재생 정보의 활용성을 높이고 도시재생종합정보시스템의 기능을 확장시킬 수 있을 것으로 기대된다.

• Journal of the Korean Society for information Management
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• v.34 no.4
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• pp.273-292
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• 2017

This paper aims to develop an evaluation model for library mobile services in terms of service quality. First, a literature review of the service quality evaluation model and the mobile library service evaluation was conducted. Then, based on the analysis, the evaluation model consisting of 4 quality dimensions, 10 quality factors, 39 quality measurement items was developed. Delphi method was applied to verify the validity of the model. Finally, a final model consisting of 4 quality dimensions, 9 quality factors, and 37 quality measurement items was derived. The evaluation model proposed in this study can be used as a measure of library mobile service quality and can be used as a guideline for improvement of library mobile service.

• Journal of the Korean Data and Information Science Society
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• v.24 no.1
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• pp.33-39
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• 2013

In the transformation of response variable in partial linear models outliers can cause a bad effect on estimating the transformation parameter, just as in the linear models. To solve this problem the processes of estimating transformation parameter and detecting outliers are needed, but have difficulties to be performed due to the arbitrariness of the nonparametric function included in the partial linear model. In this study, through the estimation of nonparametric function and outlier detection methods such as a sequential test and a maximum trimmed likelihood estimation, processes for transforming response variable robust to outliers in partial linear models are suggested. The proposed methods are verified and compared their effectiveness by simulation study and examples.

• Communications of Mathematical Education
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• v.27 no.4
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• pp.407-428
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• 2013

The purpose of this research is to develop an effective teaching-learning model and suggest efficient methods for improving the learning abilities in mathematics of the students of engineering college. For this purpose, we examined their learning styles and learning attitudes toward Mathematics, which are important factors in teaching-learning process, and analyzed the relation between them. As a result, we found that participants had a disposition of being dependent and highly participating, so we made an effort to develop a teaching-learning model which can make the students active and highly involved in. After applying the developed teaching-learning model to Engineering Mathematics class for one semester, we conducted survey of the participants' responses. In conclusion, we found that this model is very helpful for Engineering students to utilize a self-directed learning by diagnosing and adjusting their learning process in Meta-cognitive way. Also, it is confirmed that this model has a considerable influence in which students can actively participate in class and have positive attitude to Mathematics learning.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.7
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• pp.4478-4488
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• 2015

This paper aims to develop and validate a situational judgement test to diagnose the Competencey of public ethics for undergraduates. A criterion group composing of high performers was formed. Critical incidents and responses were developed from interviews with members of the criterion group. Also an expert committee was composed of six university members who have professional knowledge and experience on Competencey based selection or education. This committee reviewed all the items developed and selected some of them for the final test. Item validity and reliability were examined through the final test that 519 college students took. The result of the confirmatory as well as exploratory factor analysis showed that the Competencey of public ethics consisted of 2 sub-elements which were work ethics and democratic citizenship. The correlation between results of the test and the HEXACO model was statistically significant. Overall, the findings of the study highlight that a situational judgement test can be developed and utilized to diagnose Competencey levels of public ethics for undergraduates.

• Journal of the Korean Society for Library and Information Science
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• v.52 no.2
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• pp.191-220
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• 2018

Using Bloom's taxonomy model of thinking ability for learning (RBTT) and new ACRL information literacy framework (2016), this study demonstrates the meta-literacy competencies for library specialists and analyses current LIS curriculum of higher education. Some guidelines for reformation of LIS curriculum, emphasizing meta-literacy competencies which are required from Web3.0 information environment, are provided.

• Journal of the Korea institute for structural maintenance and inspection
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• v.10 no.5
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• pp.179-186
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• 2006

In this study, Multi-Layer Perceptron(MLP) among models of Artificial Neural Network(ANN) is used for the development of a model that evaluates the bending capacities of reinforced concrete beams strengthened by FRP Rebar. And the data of the existing researches are used for materials of ANN model. As the independent variables of input layer, main components of bending capacities, width, effective depth, compressive strength, reinforcing ratio of FRP, balanced steel ratio of FRP are used. And the moment performance measured in the experiment is used as the dependent variable of output layer. The developed model of ANN could be applied by GFRP, CFRP and AFRP Rebar and the model is verified by using the documents of other previous researchers. As the result of the ANN model presumption, comparatively precise presumption values are achieved to presume its bending capacities at the model of ANN(0.05), while observing remarkable errors in the model of ANN(0.1). From the verification of the ANN model, it is identified that the presumption values comparatively correspond to the given data ones of the experiment. In addition, from the Sensitivity Analysis of evaluation variables of bending performance, effective depth has the highest influence, followed by steel ratio of FRP, balanced steel ratio, compressive strength and width in order.