• Advances in nano research
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• v.12 no.3
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• pp.263-279
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• 2022

In this research, the physical education training quality was investigated using the entropy model to compute variance associated with a random value (a strong tool). The entropy and undefined estimation principles are used to extract the greatest entropy of information dependent on the index system. In the study of tennis motion tracking from a dynamic viewpoint, such stages are utilized to improve the perception of the players' achievement (Lv et al. 2020). Six female tennis players served on the right side (50 cm from the T point). The initial flat serve from T point was the movement under consideration, and the entropy was utilized to weigh all indications. As a result, a multi-index measurement vector is stabilized, followed by the confidence level to determine the structural plane establishment range. As a result, the use of the unascertained measuring technique of information entropy showed an excellent approach to assessing athlete performance more accurately than traditional ways, enabling coaches and athletes to enhance their movements successfully.

• International Journal of Contents
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• v.8 no.2
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• pp.67-74
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• 2012

Technological substitution is the process by which a radical technology replaces the dominant technology in an industry. The processes of diffusion and substitution have been modeled extensively (Technology & innovation, 2010). However, the formulation of classical quantitative models encompasses only part of the theoretical space. These models impose many simplified constraints to the achievement of analytical resolution. The interior design organization needs to establish a set of technical system requirements by describing the scope of the accessibility needs of the organization against current technology use. Because of complicated design resources and ongoing advances in design technologies, design systems face the challenge of prioritizing new technologies for supporting. The problem is small design organization administration often displays a lack of concern toward the evaluation of technology integration. In this paper, I will identify the influence of a design organization's technology, and predict how future technology will inform, support, and potentially hinder productivity, culture, and work satisfaction within a design organization in the industry. In addition, I will use current design organizational behavior and leadership models to support my predictions. Finally, I will examine a proven approach to assist designers with evaluating technology integration in interior design organization. The goal is to develop a high quality, professional development scorecards for the evaluation. I will conduct both the evaluation of technology integration and CRM performance evaluation is recommended to assess the effectiveness of technology integration. Therefore, the evaluation of integration technologies oriented design hold the promise of solving the organization application integration challenge. The evaluation of integration technology is a significant pattern for processing such a vision. The careful selection of an integration technology for this purpose is crucial in contributing toward the success of such an interior design organization endeavor.

• 한국신재생에너지학회:학술대회논문집
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• 2009.11a
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• pp.301-301
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• 2009

The General program evaluation guide is intended for use by managers of both deployment and R&D programs within the U.S. Department of Energy's Office of Energy Efficiency and Renewable Energy (EERE), although most of the examples of evaluations pertain to deployment programs(EERE,2006). It could help managers determine what kinds of timely adjustments may be needed in program design or implementation to improve the rate or quality of achievement relative to the committed resources. To consider the adaptation of the method in Korea, we have studied the evaluation case for solar america initiative using cost-benefit evaluation. The President's Solar America Initiative (SAI) was launched in January 2006 as part of the administration's Advanced Energy Initiative. The SAI has a goal of installing 5-10 GW of photovoltaic (PV) systems in the U.S. by 2015 and 70-100 GW of PV systems in the U.S. by 2030. The evaluation report presents estimates of the potential benefits should the SAI PV installation goals be achieved. For this analysis, the areas researched include energy, economic, and environmental benefits. As a result, research suggests that 500 MW of PV may have been enough to avoid lackout. The ability of PV to prevent specific blackouts will depend on very specific information on where the PV installations are installed and their ability to relieve pressure on the high stress points on the grid. While this level of detail is outside the scope of this study, it appears that there will be some potential benefit for blackout prevention should the SAI PV goals be achieved.

• Journal of Educational Research in Mathematics
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• v.26 no.2
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• pp.189-204
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• 2016

As compared with the gender differences in the achievement of mathematics of the PISA 2009, the results of this study on the PISA 2012 show that the achievement of male students sharply increased, while that of female students maintained the status quo. Based on the premise that this result is derived from the ratio differences between male and female students of high level, this study analyzed the educational context variable effects on the achievements of gender differences observed between male and female students of high level. In particular, this study inquired into the factors which influence the gender difference, by analyzing the identical variables regarding Singapore and Finland of which the achievement of female students registers high among other top high-ranking countries of the PISA 2012. Hence, the binominal logistic multi-level analysis was conducted in order to consider the characteristics of hierarchical structure of PISA, and to compare the features of the educational context variable effects between the high level (above level 5) by country and the highest level (above level 6) by group. The analysis results are as follows: in terms of after-school learning time realized either in private lessons and private institutes, no significant effects were shown in any of the students of these three countries. In terms of after-school homework time, the students of Korea and Singapore gave significant influences on the probability which would be included in the group of high level or the highest level. In particular, regarding the variables which influence the probability of inclusion of Korean female students in the group of high level or the highest level, they correspond to "Homework set by teacher", "Attitude toward school: learning activities", "ESCS of School" and "Teacher-student relations". And "Cultural possessions at home" gave main influences on the probability of inclusion of the female students of Korea, Singapore and Finland in the group of the highest level.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.8
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• pp.201-210
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• 2018

The purpose of this study is to investigate the effect of flipped learning-based health assessment education on academic achievement of nursing students. The subjects of the study included nursing students attending second year at university. For 10 weeks, the experimental group was exposed to flipped learning-based classes, and the control group was provided with traditional lectures and team learning-based classes. In the intermediate evaluation, the knowledge and performance scores of the experimental group and the control group were statistically significant, and in the final evaluation, the knowledge and performance scores of the experimental group and the control group were statistically significant. The integrated knowledge score, evaluated three times after the end of the training, was higher in the experimental group than in the control group. These results suggest that flipped learning is an effective teaching and learning method for improving knowledge and performance of nursing students. Therefore, the application of flipped learning in various nursing education areas should be studied.

• School Mathematics
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• v.13 no.4
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• pp.697-716
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• 2011

It is known that Korean students performs very well in mathematics but show poor attitude toward mathematics. However, attitude itself is an important goal of education and it also promotes students learning. Therefore, it is important and urgent for us to find a way to improve students' attitude toward mathematics. In this article, we tried to examine characteristics of Korean students' attitude toward mathematics and identify student and school level factors affecting it. For this purpose, we analysed National Assessment of Educational Achievement (NAEA) data in 2007 when NAEA was conducted especially focused on mathematics. Main findings of this research are as follows. First, we found that attitude toward mathematics got lower as students advanced to higher grades. And among 3 sub-domains of attitude toward mathematics, interest and self-confidence were lower than perception of value of mathematics. Secondly, attitude toward mathematics was mainly affected by student background variables such as gender, achievement, participation in private tutoring, father's education level. And while school factors contributed relatively little to students' attitude toward mathematics, teacher's perception on value of school education was positively related with students' attitude in high schools and emphasis on assessment was negatively related with students' attitude in elementary schools.

• Journal of The Korean Association For Science Education
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• v.31 no.6
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• pp.836-847
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• 2011

This study investigated the effects of taking elective science courses in high school on studying science at the university level. The research methods undertaken for this study included surveys of college students in science areas. For physics and biology major students, no significant differences in achievement in the basic courses at the university level were found between the groups that took only Science I courses and the group took Science I and II courses. For chemistry major students, achievement for the group that took Chemistry I and II courses was significantly higher in the basic courses, while no significant differences between the two groups was found in the advanced courses. The perceptions of college students regarding the effects of their science learning experience in high school on learning science at the university level were investigated. All the college students perceived that whether or not they took Science II courses in high school, it did not affect their learning in basic science courses in college. They also perceived that students were able to overcome difficulties by making extra effort even if they did not take Science II courses in high school.

• The Mathematical Education
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• v.61 no.2
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• pp.257-271
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• 2022

As information and communication technologies are being developed so rapidly, education research is actively conducted to provide optimal learning for each student using big data and artificial intelligence technology. In this study, using the mathematics learning data of elementary school 5th to 6th graders conducting blended mathematics classes, we tried to find out what factors predict mathematics academic achievement and developed an artificial intelligence model that predicts mathematics academic performance using the results. Math learning propensity, LMS data, and evaluation results of 205 elementary school students had analyzed with a random forest model. Confidence, anxiety, interest, self-management, and confidence in math learning strategy were included as mathematics learning disposition. The progress rate, number of learning times, and learning time of the e-learning site were collected as LMS data. For evaluation data, results of diagnostic test and unit test were used. As a result of the analysis it was found that the mathematics learning strategy was the most important factor in predicting low-achieving students among mathematics learning propensities. The LMS training data had a negligible effect on the prediction. This study suggests that an AI model can predict low-achieving students with learning data generated in a blended math class. In addition, it is expected that the results of the analysis will provide specific information for teachers to evaluate and give feedback to students.

• Journal of vocational education research
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• v.30 no.4
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• pp.23-49
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• 2011

Faculty performance evaluation system has been settled down as an uncomfortable but unavoidable system, and it is one of the most important factors to grow the college competitiveness up. In this study, we selected and surveyed faculty evaluation models of several universities and colleges in Korea, and analyzed by comparing each evaluation areas of educational achievement, college-industry collaboration, research, and service. We also identified the properties of the current faculty evaluation models of the junior colleges, and derived several problems from these models such as an imitation of four-year university model, a disorders of job evaluation with respect to the attributes of classified jobs, a large variation of individual item weights, and an insufficient reflection of major characteristics. Based on these surveys and analysis, an improved faculty evaluation model for the junior college is proposed in this study. This model proposed four basic areas-educational achievement, college-industry collaboration, research, and service by considering the importance of the college-industry collaboration in the junior college-as well as the team evaluation area. Weights of the SCI-class paper was selected as a criterion for the arrangement of objective comparison of each evaluation items. We showed the integration method of several different evaluation model with respect to the attributes of classified jobs of each faculties, and evaluation plan of variational characteristics according to the majors of individuals in this model. Finally, we introduced an area fail and rating system to operate efficiently the proposed faculty evaluation model.

• Journal of Engineering Education Research
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• v.8 no.4
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• pp.52-63
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• 2005

National competitiveness is related directly to the strength of educational competitiveness of universities. Seoul National University (SNU) has been taking efforts to improve its competitiveness in University education in variety of ways and the classroom assessment is one key example of those. The current classroom assessment system practiced at universities is being used to evaluate courses and professors in charge by the university administration or evaluation committee. The classroom assessment system is not intended to put students and professors as the subject of the evaluation. In this case, the evaluation is intended wrongfully to rank the courses and evaluate professors' achievement by assigning grades on the lectures. Instead, a proper classroom assessment system should be targeted to improve the quality of lectures by encouraging communication among professor and students in the classroom. In this study, it was intended to investigate a suitable classroom assessment system to enhance the effectiveness of education, not to rank the courses and evaluate professors' achievement. For this purpose, research has been carried out to investigate opinions of professors at SNU on the criteria of classroom assessment and to analyze the criteria of classroom assessment at other domestic universities in Korea. The inquiries for feedback on the lecture by the student in the class was analyzed. The current classroom assessment system at SNU was reviewed and an improvement plan was devised to evaluate liberal art courses of engineering and science schools at SNU. In this research, the problems in the classroom assessment system was reviewed and improvement points were searched to utilize the classroom assessment system more effectively for the improvement of lecture quality.