• Journal of Digital Convergence
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• v.17 no.2
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• pp.9-18
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• 2019

This study investigates the factors affecting the educational satisfaction and the transfer of learning of cyber crime prevention education students in order to confirm the effectiveness of the current education. Based on the CIPP model, we confirmed whether the level of social demand and the level of knowledge in the context evaluation, recency of subjects in the input evaluation and interaction in the process evaluation affect the educational satisfaction and the transfer of learning of the students by conducting the survey for the students. As a result of analysis, it was proved that the level of knowledge, recency of subjects and interaction had a significant relationship with the educational satisfaction and recency of subjects, interaction and educational satisfaction significantly affect transfer of learning. Based on the findings, this study provides a few constructive suggestions to improve the effectiveness of the cyber crime prevention education program.

• Journal of the Korea Society of Computer and Information
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• v.28 no.4
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• pp.197-208
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• 2023

In this study, we attempted to examine the changing ways of thinking about lecture evaluation before and after COVID-19. To this end, decision tree analysis(Decision Tree) was used among data mining techniques based on lecture evaluation data for liberal arts and major classes conducted before and after COVID-19 for A university. According to the results of the study, liberal arts changed from 'method' to 'content', and 'knowledge improvement' was an important factor both before and after majors. In particular, 'Assignment' was found to be an important factor after the COVID-19 in common in the evaluation of lectures in the liberal arts department, which means that in the future, professors will be provided with appropriate teaching methods during class, interaction with students, and feedback on assignments or test results, indicates the need for competence. Based on the results of this study, a plan to improve communication with students and activation of blended learning was suggested.

• Journal of Digital Convergence
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• v.17 no.1
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• pp.29-36
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• 2019

In this study, we analyzed knowledge management cases of the Ministry of Culture, Sports and Tourism and examined knowledge management vision, promotion organization and knowledge management activity system. This study aims to clarify implications for successful knowledge management in government sector. In the case of the Ministry of Culture, Sports and Tourism, which was the subject of the study, it was evaluated as having performed well in the management activities of the government department in the evaluation of "Knowledge Target for 2018" jointly hosted by Maeil Economic Daily and the Ministry of Public Administration and Security. In this study, we conducted an in - depth interview with the knowledge management staff of the Ministry of Culture and Tourism and analyzed the success factors of knowledge management in the government sector. First, the vision of knowledge management and the role of dedicated organization were very important. In addition, knowledge management system was used to effectively acquire, share, and accumulate knowledge and utilize it. In addition, appropriate compensation systems for knowledge management activities are also important success factors. Therefore, in order to encourage knowledge management activities, it is necessary for public institutions to establish an incentive system such as an economic compensation system for personnel sharing activities and HR personnel.

• Journal of The Korean Association For Science Education
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• v.27 no.4
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• pp.346-353
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• 2007

In order to be efficient in teaching, a teacher should understand the current learner's level through diagnostic evaluation. This study has examined the major issues arising from the noble diagnostic assessment tool based on the theory of knowledge space. The knowledge state analysis method is actualizing the theory of knowledge space for practical use. The knowledge state analysis method is very advantageous when a certain group or individual student's knowledge structure is analyzed especially for strong hierarchical subjects such as mathematics, physics, chemistry, etc. Students' knowledge state helps design an efficient teaching plan by referring their hierarchical knowledge structure. The knowledge state analysis method can be enhanced by computer due to fast data processing. In addition, each student's knowledge can be improved effectively through individualistic feedback depending on individualized knowledge structure. In this study, we have developed a diagnostic assessment test for measuring student's learning outcome which is unattainable from the conventional examination. The diagnostic assessment test was administered to middle school students and analyzed by the knowledge state analysis method. The analyzed results show that students' knowledge structure after learning found to be more structured and well-defined than the knowledge structure before the learning.

• Journal of The Korean Association For Science Education
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• v.23 no.3
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• pp.215-228
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• 2003

The present study is to analyze the arguments about the generation of declarative scientific-knowledge in the philosophy of science and invent a structured model of the process of scientific-knowledge generation with the types of the generated scientific-knowledge. The invented model shows that scientific-knowledge generation is a distinctive process with the processes of inductive, abductive, and deductive thinking. Furthermore, inductive process is included with observation, which is consisted of simple observation and operative observation, and rule-discovery which is involved with the processes of commonness discovery, classification, pattern discovery, and hierarchical relationship. Also, abductive process has two components. One component generates question and second component generates hypothesis in which the process consists of representing question situation, identifying experienced situation, identifying causal explicans, and generating hypothetical explicans. Finally, deductive process is involved with logical inventing test method and evaluation criteria, concrete inventing test method and evaluation criteria, evaluating hypothesis, and making conclusion.

• Korean Journal of Community Nutrition
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• v.14 no.3
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• pp.266-276
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• 2009

The purpose of this study was to implement and evaluate the nutrition education program for elementary school children Subjects were 5th graders (n = 142) of an elementary school in Seoul, and 138 children completed four sessions of nutrition education during March-April, 2008. One group pretest-posttest design was used to evaluate the program effectiveness. Anthropometric measurements and measurements on nutrition knowledge, eating attitudes and eating behavior were done before and after education. Data were analyzed using paired t-test, t-test and ${\chi}^2-test$. After completing nutrition education, body mass index (from 19.3 to 18.9), fat mass (from 10.9 kg to 10.1 kg), percent body fat (from 25% to 23.3%) of subjects decreased significantly (p < 0.001). Percentages of overweight or obese children were 24.6% at pretest and decreased to 20.3% at posttest, although it did not reach statistical significance. Total score of nutrition knowledge increased significantly from 11.9 (59.5/100) at pretest to 14.7 (73.5/100) at posttest (p < 0.001). After nutrition education, percentages of correct answers increased significantly in 10 knowledge items out of 20 items. These included items such as desirable weight control, energy requirements for boys, food groups, snack, and function of fat and balanced meals (p < 0.001). Total score of eating attitudes increased significantly from 35.1 to 36.9 (p < 0.001). Attitude of applying nutrition knowledge to daily life (p < 0.001), interest toward nutrition and health (p < 0.001), attitude of moderating food intake (p < 0.01), and attitude toward eating habit and future health (p < 0.05) were significantly different between pretest and posttest. Total score of eating behaviors increased significantly from 46.7 (possible score: 20-60) to 49.5 by nutrition education (p < 0.001). Improvement in eight eating behaviors were noticed after nutrition education. These included eating meals slowly, eat protein foods (p < 0.001), eating breakfast, eating meals regularly, eating meals with diverse foods, having dairy foods, eating foods using plant oils (p < 0.01), and having grains (p < 0.05). Subjects evaluated quite positively in attractiveness of program, understanding of program contents, helpfulness of program in improving nutrition knowledge and meal management. Study results show that the nutrition education program was effective in improving nutrition knowledge, eating attitudes and changing eating behaviors of children. This program can be used in nutrition education of children at school or at public health centers.

• Journal of The Korean Association For Science Education
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• v.37 no.2
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• pp.239-252
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• 2017

The purpose of this study is to examine metamodeling knowledge and its components, which means knowledge about model and modeling required for students and teachers for successful application of modeling in the field of science education based on research literature. For this, we analyzed and categorized major previous studies on modeling and modeling through research literature methods. Metamodeling knowledge aims to recognize models and modeling and is the most crucial element to create a scientific model in scientific modeling practice. The point of view of metamodeling knowledge proposed in this study is categorize nature of model, multiplicity of model, purpose of model, modeling process, and evaluation and revision of model. Students should be able to achieve more in-depth understanding through the awareness of the nature of the model. The development of metamodeling knowledge can facilitate students' science learning.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2003.09a
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• pp.16-19
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• 2003

This paper describes research on mental commit robot that seeks a different direction from industrial robot, and that is not so rigidly dependent on objective measures such as accuracy and speed. The main goal of this research is to explore a new area in robotics, with an emphasis on human-robot interaction. In the previous research, we categories robots into four categories in terms of appearance. Then, we introduced a cat robot and a seal robot, and evaluated them by interviewing many people. The results showed that physical interaction improved subjective evaluation. Moreover, a priori knowledge of a subject has much influence into subjective interpretation and evaluation of mental commit robot. In this paper, 133 subjects evaluated the seal robot, Paro by questionnaires in an exhibition at the National Museum of Science and Technology in Stockholm, Sweden. This paper reports the results of statistical analysis of evaluation data.

• The Journal of Information Systems
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• v.25 no.4
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• pp.37-61
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• 2016

Purpose This study examines firms at various industries to identify key organizational characteristics that positively drive the evaluation of cloud computing. In addition, this study tests the impact of one's evaluation has on the adoption and integration of cloud computing within their respective firm. Design/methodology/approach A total of 172 responses from various firms currently using cloud computing service were analyzed using the structural equation modeling(SEM). Findings Results show that organizational Needs(Mobility and Job Relevance), Perceived Factors(Relative Advantages and Cost Savings), and Organizational Readiness(Technical Knowledge, Financial Supports, and Managerial Supports) have a significant impact on cloud computing evaluation; and evaluation influences its adoption, and integration. However, two variables(IT Performance Gaps and Compatibility) have no significant impact on cloud computing evaluation. Finally, Evolutional Leadership has a significant moderating effect within the relationship among variables in the process of cloud computing implementation.

• Safety and Health at Work
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• v.7 no.1
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• pp.83-85
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• 2016

Effective interventions to reduce work-related exposures are available for many types of work-related diseases or injuries. However, knowledge of the impact of these interventions on injury or disease outcomes is scarce due to practical and methodological reasons. Study designs are considered for the evaluation of occupational health interventions on occupational disease or injury. Latency and frequency of occurrence of the health outcomes are two important features when designing an evaluation study with occupational disease or occupational injury as an outcome measure. Controlled evaluation studies-giving strong indications for an intervention effect-seem more suitable for more frequently occurring injuries or diseases. Uncontrolled evaluation time or case series studies are an option for evaluating less frequently occurring injuries or diseases. Interrupted time series offer alternatives to experimental randomized controlled trials to give an insight into the effectiveness of preventive actions in the work setting to decision and policy makers.