• The Journal of Korean Association of Computer Education
• /
• v.5 no.1
• /
• pp.85-98
• /
• 2002

In this study, We are developed learner traits analysis and profile management software modules to develop learnable courseware fits to learner's individual traits in cyber learning system. We specified learner's personal information, performance information, preference information and portfolio information as learner's traits variables in this study, these four types of information are managed in learner profile management DB based on elaborate analysis to learner's traits. And we consists of curriculum sequencing module using high and low level sequencing technology, these are used in organizing learning contents sequencing with learning topic and specific learning task. The advice algorithm module developed based on adaptive navigational support and rule based technology. This Result of Research are able to be used for develop learnable courseware fits to learner's individual traits in cyber learning systems.

• Journal of the Korean Society of Earth Science Education
• /
• v.10 no.2
• /
• pp.91-103
• /
• 2017

This study has developed the earth science class model based on flipped learning and analyzed the effects of that model at the elementary pre-teachers' science classes. The model of this study, the material which was consists of all contents and information about classes was offered to learners before science class as a substitute for preceding homework at general flipped learning. In science class, the knowledges which were recorded in materials were explained directly to learners by instructor for 20minutes. So the learners resolved some inquiry questions in materials through mutual debate collaboration with learners in small group. After inquiry questions' resolving, the learner among small group makes a presentation in front of the whole class. At the same time, the instructor evaluated learning action of all small groups' learners during the classes as process evaluation. The final evaluation results of semester were obtained scores of the small group in 14 classes and the achievements of individual portfolio as final exam. The learners were very positive perception to this science class model, why it is helped to concentrate on the class, extended debating and thinking ability. Consequently, the class model of this study is useful to applicate the earth science classes.

• Journal of Engineering Education Research
• /
• v.15 no.5
• /
• pp.14-18
• /
• 2012

Shu-gyo-ryoku, a program to enhance students' academic and career skills, was begun in the academic year 2011. Under the new program, "Career Planning" and "Career Design" were introduced as part of the liberal arts education for incoming freshmen. Approximately 500 students majoring in engineering enrolled in "Career Planning" in which they study a "curriculum map" and how it relates to their future fields of employment. The curriculum map illustrates the connections between classes and increases students'understanding of the curriculum structure. In small groups, students discussed the curriculum in order to develop sketches of their career paths. In addition, students answered a career anchor test and though several communicative activities, improved their communication skills. A portfolio system was built into the university network to record the learning history of each student. Students are able to check their learning histories and reflect on the change in themselves during their academic careers.

• Journal of Intelligence and Information Systems
• /
• v.26 no.1
• /
• pp.135-149
• /
• 2020

Artificial intelligences are changing world. Financial market is also not an exception. Robo-Advisor is actively being developed, making up the weakness of traditional asset allocation methods and replacing the parts that are difficult for the traditional methods. It makes automated investment decisions with artificial intelligence algorithms and is used with various asset allocation models such as mean-variance model, Black-Litterman model and risk parity model. Risk parity model is a typical risk-based asset allocation model which is focused on the volatility of assets. It avoids investment risk structurally. So it has stability in the management of large size fund and it has been widely used in financial field. XGBoost model is a parallel tree-boosting method. It is an optimized gradient boosting model designed to be highly efficient and flexible. It not only makes billions of examples in limited memory environments but is also very fast to learn compared to traditional boosting methods. It is frequently used in various fields of data analysis and has a lot of advantages. So in this study, we propose a new asset allocation model that combines risk parity model and XGBoost machine learning model. This model uses XGBoost to predict the risk of assets and applies the predictive risk to the process of covariance estimation. There are estimated errors between the estimation period and the actual investment period because the optimized asset allocation model estimates the proportion of investments based on historical data. these estimated errors adversely affect the optimized portfolio performance. This study aims to improve the stability and portfolio performance of the model by predicting the volatility of the next investment period and reducing estimated errors of optimized asset allocation model. As a result, it narrows the gap between theory and practice and proposes a more advanced asset allocation model. In this study, we used the Korean stock market price data for a total of 17 years from 2003 to 2019 for the empirical test of the suggested model. The data sets are specifically composed of energy, finance, IT, industrial, material, telecommunication, utility, consumer, health care and staple sectors. We accumulated the value of prediction using moving-window method by 1,000 in-sample and 20 out-of-sample, so we produced a total of 154 rebalancing back-testing results. We analyzed portfolio performance in terms of cumulative rate of return and got a lot of sample data because of long period results. Comparing with traditional risk parity model, this experiment recorded improvements in both cumulative yield and reduction of estimated errors. The total cumulative return is 45.748%, about 5% higher than that of risk parity model and also the estimated errors are reduced in 9 out of 10 industry sectors. The reduction of estimated errors increases stability of the model and makes it easy to apply in practical investment. The results of the experiment showed improvement of portfolio performance by reducing the estimated errors of the optimized asset allocation model. Many financial models and asset allocation models are limited in practical investment because of the most fundamental question of whether the past characteristics of assets will continue into the future in the changing financial market. However, this study not only takes advantage of traditional asset allocation models, but also supplements the limitations of traditional methods and increases stability by predicting the risks of assets with the latest algorithm. There are various studies on parametric estimation methods to reduce the estimated errors in the portfolio optimization. We also suggested a new method to reduce estimated errors in optimized asset allocation model using machine learning. So this study is meaningful in that it proposes an advanced artificial intelligence asset allocation model for the fast-developing financial markets.

• Journal of the Korean School Mathematics Society
• /
• v.3 no.1
• /
• pp.149-163
• /
• 2000

The Ministry of Education have had us practice the performance test as a substitute proposal, however, all the more for the idealistic purport, our education front does not have such a sufficient condition as to practice the performance test for many classes and miscellaneous duties and over-populated class, and that practice has been enforced so abruptly without any drastic preparation and has caused much confusion from the beginning of that enforcement. Thus, these problematic concerns are remained as the tasks of the teachers to be solved by themselves in the front of education, and herein I came to do this research. The followings are the conclusions that I got as the results of the research (1) Performance test style should be applied in consideration of the students' achievement level and the gap of the teachers' recognition; descriptive test, portfolio assignment and formative test styles were proper for the students lacking basic study ability. (2) Descriptive test should have its beginning with the question items to which students can write the problem solving procedure logically rather than those to evaluate the creation ability and thinking ability: and putting down specifically the assessment standard could prevent students' confusion and scheme the impartiality of the assessment. (3) Portfolio assignment evaluation should be given with as interesting and suitable amounts as possible so that the students can do by themselves. (4) Utilizing the performance test table enabled easy management of documentary evidence. And it is needless to say that the success of the performance test should have preceding conditions like the teachers' understanding and their positive participation. Therefore, I'd like to give suggestions herein like the followings; (1) The performance test should not always be made into grades, and there is a need to develop the test gradually in the condition that the education surroundings permit by checking time, frequency, ratio and contents of the test while practicing the multiple choice writing test. (2) As long as the performance test has the aims of improving the studying and learning activities, any performance test only for the sake of making numerals with the thought that assessment is the disposal of the grades should be avoided, and the change of the lecturing styles and development of various assessing types and studying materials should be endeavored to confirm with the aims.

• Journal of Practical Engineering Education
• /
• v.13 no.3
• /
• pp.507-514
• /
• 2021

K University of engineering college awarded degrees to workers for major of electrical and electronics in the degree-linked work-study parallel system for the first time in February 2020. In this study, the progressed process to the stage of producing group graduation works for graduates and completing the results in an engineering thesis system were presented. The questionnaire consisting of 39 questions was conducted with the subjects, and the results of the responses were compared and analyzed with the results of full-time students in the same major who graduated in the same year. Statistical analysis was attempted by dividing the five representative response questions by group, but the number of people in each group was less than 30, so the normality test of response results and statistical analysis by parametric methods were limited. However, it was judged that a one-sample t-test was possible. Focusing on this method, it was confirmed that there was a difference of 0.8 points or more between the groups on an average 5-point scale in response items related to the number of changes in the subject of the work, the satisfaction among the members, and the effort to guide the work. And the measures to deal with these differences were suggested.

• Journal of Korean Home Economics Education Association
• /
• v.25 no.2
• /
• pp.1-19
• /
• 2013

The purpose of this study was to develope and implement a project teaching learning process plan in order to improve a creativity and character for 'residential space utilization' section of Technology Home Economics in middle school. The teaching learning process plan consisting of 15-session lessons had been developed and implemented according to the ADDIE model mixed with 6 project learning steps. In the development stage, 8 activity materials(7 individual and 1 group activity sheets) and 7 teaching learning materials(2 sets of pictures & photos, 4 moving pictures and 1 space plan resources book) were developed for the 15-session lessons. The plans applied to 5 classes 163 students in the second grade of G middle school in Gwangju during Oct. 17th to 18th of Nov. 2011. The results from the survey and portfolio showed that the 15-session lessons had overall achieved the general goal of the project teaching learning process plan to improve a creativity and character. Students were stimulated by individual and group activities with creativity and character elements in the class. The students evaluated the whole process of 15 lessons were interesting and helpful to improve creativity and consideration and cooperation of aspect of character. The individual and group results of the portfolio were excellently and creatively done with the average of nearly 85% points. The researcher also found the improving process of students in the whole classes. This plan might apply to other parts of housing as well as various other areas of home economics.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2020.05a
• /
• pp.439-441
• /
• 2020

기존의 균등배분, 마코위츠, Recurrent Reinforcement Learning 방법들은 수익들을 최대화하거나 위험을 최소화하고, Risk Budgeting 방법은 각 자산에 목표 리스크를 배분하여 최적의 포트폴리오를 찾는다. 그러나 이 방법들은 미래의 최적화된 포트폴리오를 잘 찾아주지 못하는 문제점들이 있다. 본 논문은 자산 배분을 위한 Deterministic Policy Gradient 기반의 Actor Critic 모델을 개발하였고, 기존의 방법들보다 성능이 우수함을 검증한다.

• Journal of The Korean Association of Information Education
• /
• v.16 no.4
• /
• pp.439-450
• /
• 2012

This paper explores effectiveness of integrating Problem-Based Learning with Web 2.0 technologies in Computer subject matter education for improving quality of lessons and adapting of social needs for pre-service teachers. Students have studied about computer subject matter for 4 times. The process of leaning have recorded by Web 2.0 tools that is one of the cloud services. Also the students have written reflection journals about experiences of PBL process and results. The PBL process and reflection journals have been analyzed by qualitative data analysis. Conclusions are drawn as to potential for the use of Web 2.0 tools for PBL in computer subject matter. The results of the analyses showed the following: 1) Increasing the understanding of the computer subject matter education, 2) enhancing students' competence in using ICT potentially, 3) cultivating teaching and learning strategies on Web 2.0 environment and 4) enhancing competence of future teaching activities through experiencing e-portfolio as a performance-assessment tool.

• Journal of Engineering Education Research
• /
• v.20 no.4
• /
• pp.38-50
• /
• 2017

The purpose of this study is to analyze the current evaluation methods on faculty performance at Korean engineering colleges and develop teaching evaluation indicators for faculty performance. We investigated the faculty performance cases in engineering colleges inside and outside of the Korea, the engineering faculty's awareness of evaluation factors for their educational performance, and the appropriate ratios by indicating factors. Also we developed evaluation indicators for educational achievements to improve the current faculty performance system. 227 engineering faculty members answered our survey questionnaire. The result in the case study on faculty performance evaluation is as follows. First, most items of faculty performance evaluation are about quantitative indicators that can easily conduct objective evaluation. Second, evaluation items of faculty performance are mostly focused on instruction in a classroom. Third, the evaluation by students and administrative managers is more dominant than that by professors or their colleagues, document evaluation than on site evaluation, general evaluation than formative evaluation, and static evaluation than dynamic evaluation. Lastly, Some universities tend to substitute outstanding articles for underperforming instruction. The evaluation indicators that we have developed can be implemented by four types of subjects, such as students, professors, their colleagues, and deans. Also, based on the evaluation indicators, faculties can freely select their evaluation domains depending on the their tracks, such as a teaching track, a research track, or an industry-university cooperation track. The mandatory evaluation fields include teaching, student counselling, teaching portfolio evaluation by mentors or colleagues, class management evaluation by deans, and self-evaluation. The other areas are optional and professors can choose their evaluation factors.