• Journal of The Korean Association For Science Education
• /
• v.32 no.8
• /
• pp.1345-1355
• /
• 2012

In this study, 15 evaluation questions about light were developed and presented to 30 middle school students, and then the theory of knowledge space was used to analyze the status of the middle school students' knowledge about light. Not only was the state of the students' knowledge about light intended to be measured by schematizing the knowledge hierarchy obtained; the data obtained were also intended to be used as basic materials to improve the teaching methods used. To achieve the purpose of this study, the evaluation results, the individual knowledge state, and the hierarchy of questions were analyzed. As a result, different knowledge structures were found in the individuals and groups, and it was determined that individuals and groups should be diagnosed differently. In addition, the implication that there is a connection between each question and the individual knowledge state was drawn.

• International Journal of Computer Science & Network Security
• /
• v.22 no.11
• /
• pp.229-235
• /
• 2022

This study aims to substantiate an interdisciplinary methodology for automated analysis and qualitative assessment of legislation and court decisions. The development of this kind of methodology will make it possible to fill a number of methodological gaps in various research areas, including law effectiveness assessment and legal monitoring. We have defined a methodology based on the interdisciplinary principles and tools. In general, it should be noted that even at the level of qualitative assessment made with the use of the methodology described above, the accumulation of knowledge about the relationship between legal objectives, indicators and computer methods of their identification can reduce the role of expert knowledge and subjective factor in the process of assessment, planning, forecasting and control over the state of legislation and law enforcement. Automation of intellectual processes becomes inevitable in a digital society, but, releasing experts from routine work, simultaneously reorients it to development of interdisciplinary methods and control over their application.

• Journal of Gifted/Talented Education
• /
• v.21 no.4
• /
• pp.861-884
• /
• 2011

In this study, we developed and applied 15 evaluation questions about light to 30 middle school students in K University Science Education Institute for the Gifted. Then we used the theory of knowledge space and analyzed the middle school Science Gifted Students' knowledge state about light. By schematizing the hierarchy from it, we intended to not only measure students' knowledge state about light, but use it as the basic materials to improve teaching methods. To achieve the purpose of this study, we analyzed the evaluation results and individual knowledge state and hierarchy of questions. As a result, there were different knowledge structures in the individual, and we found that we should diagnose them differently. In addition, we have had implications that it has the connection with each questions and the individual knowledge state.

• The Journal of Korean Academic Society of Nursing Education
• /
• v.18 no.2
• /
• pp.343-352
• /
• 2012

Purpose: The purpose of this study was to identify the factors influencing Health Promotion Lifestyle Profile of women college students. Methods: The sample consisted of 248 women college students in P city. Self report questionnaires were used to measure the variables. In data analysis, SPSSWIN 20.0 program was utilized for descriptive statistics, Pearson's correlation coefficients, and regression analysis. Results: The mean score for Health Promotion Lifestyle Profile was 2.27. In the the highest subcategories, the highest degree of performance was interpersonal relationships and the lowest degree was health responsibility. Health Promotion Lifestyle Profile was significantly different according to religion (F=3.48, p=.017), economic state(F=3.01,p=.031), perceived health state(F=8.07, p<.001), exercise frequency (F=16.02, p<.001), and self-rated knowledge about health (F=21.08, p<.001). In regression of analysis, perceived health state, exercise frequency, and self-rated knowledge about health were significant predictors explaining 30.5%. Conclusion: This study suggests that perceived health state, exercise frequency, and self-rated knowledge about health are significantly influencing factors in Health Promotion Lifestyle Profile in women college students. Therefore, the strategies of nursing intervention which improve these variables must be developed for women college students.

• Asia pacific journal of information systems
• /
• v.32 no.2
• /
• pp.226-248
• /
• 2022

The existing model for sentiment analysis of product reviews learned from past data and new data was labeled based on training. But new data was never used by the existing system for making a decision. The proposed Aspect-based multi-agent Deep Reinforcement learning Sentiment Analysis (ADRSA) model learned from its very first data without the help of any training dataset and labeled a sentence with aspect category and sentiment polarity. It keeps on learning from the new data and updates its knowledge for improving its intelligence. The decision of the proposed system changed over time based on the new data. So, the accuracy of the sentiment analysis using deep reinforcement learning was improved over supervised learning and unsupervised learning methods. Hence, the sentiments of premium customers on a particular site can be explored to other customers effectively. A dynamic environment with a strong knowledge base can help the system to remember the sentences and usage State Action Reward State Action (SARSA) algorithm with Bidirectional Encoder Representations from Transformers (BERT) model improved the performance of the proposed system in terms of accuracy when compared to the state of art methods.

• International Journal of Knowledge Content Development & Technology
• /
• v.10 no.3
• /
• pp.33-50
• /
• 2020

Knowledge recipes are packages of knowledge which arise from the process of combining the knowledge assets in the organization in distinctive ways. This involves converting them into useful outputs which are the ideal core competitive advantage enablers for companies. The major objective of this study was to propose a knowledge recipe for financial-sector state corporations in Kenya. The study adopted a convergent parallel mixed methods research design. Quantitative and qualitative data were collected using questionnaires and key informant interviews. The target population of the study was 1574 respondents drawn from all financial state corporations. A multistage sampling technique was used for the study. The first phase involved purposive sampling of the organizations to be studied whereby the four state corporations namely: Capital Markets Authority, Competition Authority of Kenya, Kenya Investment Authority, and Kenya Revenue Authority were identified. The second phase entailed stratified sampling of the respondents in three strata namely senior management team, knowledge management team, and general staff. The authors used a census of all senior management team and knowledge management staff while a simple random sampling technique was used for the general staff. By use of the Krejcie and Morgan table, the actual sample size was 358 respondents from all the four organizations. Data were collected using questionnaires and interview schedules. The qualitative data were analyzed using content analysis while the quantitative data were analyzed by the use of Ms. Excel and VOSviewer and presented using pie charts, bar graphs, and tables. The response rate for this study was 257 (72%). The study revealed that while most employees in the financial sector organizations understand their knowledge needs, knowledge types, knowledge uses and knowledge gaps, they do not have a universal knowledge recipe to facilitate effective knowledge management in their organizations. Consequently, the authors propose a universal knowledge recipe for the state corporations in the financial sector in Kenya. The ingredients of the recipe are legal-knowledge (18%), financial knowledge (15%), administrative knowledge (11%), best practice (10%), lessons learnt (8%), human resource knowledge (8%), research and statistics knowledge (7%), product knowledge (6%), policy and procedure knowledge (5%), ICT knowledge (4%), investor knowledge (3%), markets knowledge (2%), general knowledge (2%) and regulatory framework knowledge (1%).

• Journal of the Korean earth science society
• /
• v.32 no.7
• /
• pp.902-912
• /
• 2011

The purpose of this study was to investigate the effects of teaching based on analysis of a hierarchy of the concepts associated with astronomical observation as well as each learner's status of knowledge through analytical methods of the knowledge state. A test instrument was developed to measure high school students' concepts associated with astronomical observation before instruction. The learners' psychological hierarchy associated with astronomical observation that the participants possessed showed the order of 'motion of the earth${\rightarrow}$coordinate system${\rightarrow}$astronomical observation (mechanism of the telescope${\rightarrow}$installation of the telescope${\rightarrow}$observation through the telescope)', and so was the hierarchy of teaching (70.6%). The learners' knowledge state that is supposed to be similar each other in the ability of observing celestial bodies was different even through they scored the same on the concept test. There were cases with the knowledge state well-structured and not well-structured, which suggests that differentiated instruction with appropriate teaching-learning prescriptions be prepared. An analysis of the knowledge state can play the role of both preparing individualized learning prescriptions and formative evaluation. In the unit dealing with astronomical observation of Earth ScienceI, teaching according to the psychological hierarchy of learners rather than the order in which the textbook syllabi were presented scored significantly higher (p<0.05) on the level of concept achievements. This result suggests that the teacher can help students achieve more efficient in learning by analyzing the learner's knowledge state and reordering the syllabi of the textbook in teaching the concepts associated with astronomical observation.

• International Journal of Computer Science & Network Security
• /
• v.23 no.12
• /
• pp.181-186
• /
• 2023

The main purpose of the study is to analyze the features of state regulation of the labor market in a crisis. Structural shifts in the labor market are due to the transformation of public and economic relations in today's globalized world. Increasing competition, the development of the knowledge economy, information technology, changes in the content and forms of labor require updating the labor market regulation system. The research methodology implies the use of modern methods of analysis. The analysis of the features of state regulation of the labor market in crisis conditions is carried out.

• Proceedings of the KIEE Conference
• /
• 2006.07a
• /
• pp.34-35
• /
• 2006

This paper presents an information collection and a novel inference technique for evaluation of power system operation state. In most developing countries, power demands are steadily increasing and consequently power systems are becoming larger and more complicated. In addition, power system deregulations further complicate the power system operational tasks, which are resulted in prevailing wide area blackouts worldwide. In this paper, we proposed an effective information collection and operating state evaluation methods using a knowledge-based system. The RTS-79 24 bus system is used as a test system. The power system model is composed with JESS templates and included in the knowledge-base as a part of fixed facts. Dynamic informations are collected from various analysis results and actual operational data. Inferences are performed with rules expressed with terms in different abstraction levels. Future research will be concentrated on intelligent contingency selections for preventing wide area blackouts.

• Journal of the Korean Chemical Society
• /
• v.59 no.6
• /
• pp.499-507
• /
• 2015

The purpose of this study is to investigate middle school students’ understanding of ionic equation. Two hundreds and nineteen middle school students were participated in the study. After six class hours of learning ‘electrolyte and ion’ unit, instrument was implemented to evaluate students’ understanding of ionic process and ability to write ionic equation. We analyzed the influence of characteristics of ionic compounds on correct answer rate. In addition, knowledge state of students required for writing ionic equation was analyzed. The results were as follows: First, ionic compounds tested were categorized into six groups. The correct answer rate was different depending on the characteristics of each group. Second, knowledge state required for writing ionic equation was structured. Based on results some suggestion were made to develope effective learning strategy for understanding ionic equation.