• Journal of Korean Academy of Nursing
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• v.46 no.1
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• pp.90-99
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• 2016

Purpose: This study was conducted to examine effects of a learning portfolio by identifying the learning of nursing students taking a learning portfolio-utilized nursing management class. Methods: A non-equivalent control group pretest-posttest design was used. Participants were 83 senior students taking the nursing management course in one of the Departments of Nursing at 2 Universities. Experimental group (n=42) received a learning portfolio-utilized nursing management class 15 times over 15 weeks (3 hours weekly). Self-directed learning abilities, approaches to learning and learning flow of the participants were examined with self-report structured questionnaires. Data were collected between September 2 and December 16, 2014, and were analyzed using chi-square test, Fisher's exact test, independent t-test and ANCOVA with SPSS/PC version 21.0. Results: After the intervention the experimental group showed significant increases in self-directed learning abilities, deep approaches to learning and learning flow compared to the control group. However, no significant difference was found between groups for surface approaches to learning. Conclusion: Learning activities using the learning portfolios could be effective in cultivating the learning competency for growth of knowledge, technology and professionalism by increasing personal concentration and organization ability of the nursing students so that they can react to the rapidly changing environment.

• Asia pacific journal of information systems
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• v.30 no.1
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• pp.31-52
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• 2020

Stock markets are popular investment avenues to people who plan to receive premium returns compared to other financial instruments, but they are highly volatile and risky due to the complex financial dynamics and poor understanding of the market forces involved in the price determination. A system that can forecast, predict the stock prices and automatically create a portfolio of top performing stocks is of great value to individual investors who do not have sufficient knowledge to understand the complex dynamics involved in evaluating and predicting stock prices. In this paper the authors propose a Stock prediction, Portfolio Generation and Selection model based on Machine learning algorithms, Artificial neural networks (ANNs) are used for stock price prediction, Mathematical and Statistical techniques are used for Portfolio generation and Un-Supervised Machine learning based on K-Means Clustering algorithms are used for Portfolio Evaluation and Selection which take in to account the Portfolio Return and Risk in to consideration. The model presented here is limited to predicting stock prices on a long term basis as the inputs to the model are based on fundamental attributes and intrinsic value of the stock. The results of this study are quite encouraging as the stock prediction models are able predict stock prices at least a financial quarter in advance with an accuracy of around 90 percent and the portfolio selection classifiers are giving returns in excess of average market returns.

• Journal of Korean Elementary Science Education
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• v.19 no.2
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• pp.29-41
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• 2000

The purpose of this study is to examine the effects of the Portfolio applied science instruction on the students' scientific affective domain and perceptions of portfolio in elementary schools. Portfolio applied science instruction of the 6th grade science unit 'Environment pollution and Nature protection' was developed for this study. Traditional instruction was implemented to the control group and portfolio applied science instruction was implemented to the experimental group. Pretests of the scientific affective domain were administered to both groups. The treatment was given for about seven weeks for both groups. Instruments about scientific affective domain were administered to both groups. A questionnaire on perception of portfolio applied science instruction was given to the experimental group after the treatment. The results were analyzed using t-test on the students' scientific affective domain. The results of this study are as follows: 1. Portfolio applied science instruction program for elementary schools was developed. Students themselves determine the portfolio learning goal in a portfolio applied science instruction. Students construct the portfolio and they evaluate themselves and other colleagues. Also teachers go on portfolio applied science instruction considering portfolio purpose, concepts, evaluation. 2. There was not a statistically meaningful difference between an experimental group and a control group o]1 the students' scientific affective domain. In three sub categories of a scientific affective domain, the science perception, the interest on science and scientific attitude, there were not statistically meaningful difference among them. 3. As the results of the questionnaire on perceptions of portfolio, they didn't understand it very well but after learning portfolio, they showed positive attitude to perceptions of portfolio. Students in portfolio applied science instruction like more the portfolio applied science instruction than general instruction. 4. Portfolio applied science instruction has an useful value as a method of teaching and evaluation. Students and teachers can produce various portfolios products in portfolio applied science instruction. As a conclusion, portfolio applied science instruction was not statistically meaningful on the students' scientific affective domain, but it gives positive effects on perceptions of portfolio in elementary schools. Therefore, portfolio has an educational value as a method of teaching and evaluation for students' growth. In the future, teachers and students must have interaction and feedback in portfolio applied science instruction.

• School Mathematics
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• v.4 no.3
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• pp.331-346
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• 2002

This study has two purposes. One is to know that it is Possible to use portfolio in the elementary math class. The other is to make a useful method for using portfolio. We got the following conclusion through the study. Portfolio gave students an opportunity that they could review their mathematical thinking. But it couldn't work very well for the low-level students. They didn't pay attention to the class. So, careful prepa-ration and training were necessary for the portfolio material. And the portfolio material must be prepared by appropriate contents. Teacher had to do math class by considering students ability. The math class could be much better for motivation, teaching-learning activity impro-vement and communication tool by using portfolio material. There are several imple-mentation processes in preparation, execution and utilization of the class. 1) Preparation: Teacher must decide if it is appropriate for portfolio by analyzing the course and textbook and set a final goal. And then teacher has to select an appropriate item and make a schedule for the class. The portfolio material must contain valuable things from which students learn mathematics and use in their life. The student level, utilization purpose and contents are considered when one prepares portfolio material. 2) Execution: Students are supposed to understand about the portfolio very well. It is important for them to get the opportunity for reviewing through math class diary, their opinion, friends opinion and teachers opinion. 3) Utilization: Parents review ameliorates the communication among teacher, student and parents about learning activity.

• Journal of Korean Institute of Industrial Engineers
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• v.39 no.6
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• pp.535-545
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• 2013

The goal of stock investment is earning high rate or return with stability. To accomplish this goal, using a portfolio that distributes stocks with high rate of return with less variability and a stock price prediction model with high accuracy is required. In this paper, three methods are suggested to require these conditions. First of all, in portfolio re-balance part, Max-Return and Min-Risk (MRMR) model is suggested to earn the largest rate of return with stability. Secondly, Entering/Leaving Rule (E/L) is suggested to upgrade portfolio when particular stock's rate of return is low. Finally, to use outstanding stock price prediction model, a model based on Semi-Supervised Learning (SSL) which was suggested in last research was applied. The suggested methods were validated and applied on stocks which are listed in KOSPI200 from January 2007 to August 2008.

• The Journal of Korean Academic Society of Nursing Education
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• v.20 no.4
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• pp.534-547
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• 2014

Purpose: This study verifies the meaning on application experiences of learning portfolio in nursing students. Method: Participants of this study included 22 nursing students divided into 3 focus groups who had experienced on application of Learning Portfolio in university Y and university S in Kyungpook and Daegu, respectively. Data were collected from December 2013 to January 2014 through in-depth, recorded focus group interviews and subsequently analyzed via Colaizzi's (1978) phenomenological methodology. Results: The essential theme of this study is 'Finding a vision from confusion and suffering.' From 35 significant statements, 5 theme clusters, 16 themes and 32 sub themes were extracted from the essential meaning of the practical use of nursing student experiences. The five theme clusters were: Being a learning guide, Being a medium for communication, Providing an opportunity for inner growth, Difficulties about new learning, and Would like to no more in a better way. Conclusion: The results of this study contribute to providing direction to the formation of learning portfolios, which in turn enable nursing student to develop competency in self-directed learning. These findings indicate that an outcome-based nursing curriculum needs to consider the importance for nursing student's effective application of leaning portfolio.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.16 no.1
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• pp.44-51
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• 2016

Recently, artificial intelligence has reached the level of top information technologies that will have significant influence over many aspects of our future lifestyles. In particular, in the fields of machine learning technologies for classification and decision-making, there have been a lot of research efforts for solving estimation and control problems that appear in the various kinds of portfolio management problems via data-driven approaches. Note that these modern data-driven approaches, which try to find solutions to the problems based on relevant empirical data rather than mathematical analyses, are useful particularly in practical application domains. In this paper, we consider some applications of modern data-driven machine learning methods for portfolio management problems. More precisely, we apply a simplified version of the sparse Gaussian process (GP) classification method for classifying users' sensitivity with respect to financial risk, and then present two portfolio management issues in which the GP application results can be useful. Experimental results show that the GP applications work well in handling simulated data sets.

• Journal of The Korean Association of Information Education
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• v.12 no.2
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• pp.223-234
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• 2008

Educating qualified elementary school teachers depends on excellent pre-service education. The high quality of education is accomplished by various interactions between teachers and learners, as well as active participation by students. In the present study, online problem-based learning and an e-portfolio were used to examine the effect on the computer-curriculum education to reflect social and individual needs, and to enhance the quality of instruction at universities. Students (n=105) participated in six different problem-based learning sessions. At the same time, they developed Blog e-portfolios as individual and group products, and wrote reflective journals that focused on their learning processes and results. A qualitative analysis method was employed to analyze the reflective journals. The results of the analyses showed the following: 1) Increasing the understanding of the computer-curriculum education, 2) enhancing students' competence in using ICT potentially, 3) cultivating student-centered teaching and learning strategies on ICT, and 4) enhancing competence of future teaching activities through experiencing e-portfolio as a performance-assessment tool.

• Journal of Korean Home Economics Education Association
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• v.19 no.1 s.43
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• pp.15-33
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• 2007

The purpose of this study is to find the effect of improvement in student's learning attitude when applying portfolio, which is one of the ways for the performance's assessment suggested as an alternative of traditional assessment for the instruction of Home Economics subject. The results of this study were as follows; 1. We have developed the Portfolio materials; teaching and learning plans, the paper of activities of the class, materials of the instructions, and assessment materials from the instruction of total 13 times in the unit of 'making short pants'. 2. The instruction,'Making short pants' with applying portfolio, is very effective in terms of changing student's learning attitude positively - pride, self-confidence, interest, conscience of purpose, motivation for achievement, focus surroundings, self-study, friendship among classmate and etc. 3. The result of analyzing students 'thoughts shows that the majority over 90% of the students showed the positive attitude toward applied portfolio instruction. Here are the reasons that 'it's helpful to study', 'it can be focused better on the instruction', 'it give them satisfaction and couidence' and 'it can be increased abilities studying by oneself'. on the other hand, the negative side of the instruction applied portfolio is that it requires too much time to prepare portfolio materials. there is pressure because of a lot of assignments to do. Based on this result, we are expecting to increase student's interest in the middle school class of Technology and Home Economic and also to achieve development of the method of teaching and learning to enhance student's learning attitude.

• Journal of The Korean Association For Science Education
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• v.18 no.2
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• pp.233-243
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• 1998

Many science educators concern about the problems of assessment using paper & pencil test. Performance assessment is believed to be a very promising alternatives to traditional assessment. Portfolio assessment, a kind of performance assessment, has many desirable characteristics to foster students' creativity and increase students' responsibility for their own learning. However few research study has been dealt with this assessment method and few teacher adopts this method in science class. The characteristics and structures of portfolio assessment were explored by reviewing related literatures. The appropriate portfolio assessment was designed based on the results of exploration. For our primary science class, general and specific objectives are needed, depending on the nature of the instructional topics. The children's evidences for portfolio may be limited in their forms because of insufficient learning materials and reproducing facilities in classrooms. Large portions of children's evidence should be collected during class hours to reduce burdens of children. The evaluation criteria may be holistic rather than analytical because of large class size. Portfolio assessment will bring about many changes in primary science classes. Students' have more responsibility in science learning. Teachers will focus major instructional objectives, and concern more about students' meaningful learning. Although portfolio assessment requires more work to teachers and children it could be applicable to our science classroom.