• Knowledge Management Research
• /
• v.14 no.4
• /
• pp.19-46
• /
• 2013

This paper aims to show the learning process and the educational effects of Divide-and-Combine principles and State Models, which are included in the Butterfly Model for creative problem solving. In our State Models, there are Time State Model, Space State Model, and Whole-Parts State Model. We have taught middle school students (for 18 hours), high school students (for 24 hours), and undergraduate students (for 1 semester) about our proposed Models when they solved contradiction problems. Also, we have made the students learn our contradiction resolution algorithms by themselves based on team-based discussion. By learning and by using our Models, the students had the higher level of expertise in contradiction problems and had the growth mindset that made them have confidence in themselves and kept them challenging themselves about problems. Also, learning and solving with our Models improved the students' growth mindset as well as their problem-solving ability.

• Journal of Korean Academy of Nursing
• /
• v.21 no.3
• /
• pp.257-267
• /
• 1991

This study investigated the effects of nursing in formation given verbally and a booklet on the knowledge, Physical symptoms, anxiety and daily activities of patients recovering from open heart surgery from just before discharge to six weeks after discharge. The convenience sample was of patients who had undergone open heart surgery in Seoul National University Hospital. The first 25 patients who agreed to participate in the study became the control group. They did not receive the intentional information but the usual nursing care. The next 28 patients became the experimental group who received a booklet about their post-discharge care which was discussed with them by the researcher before discharge. This study used a non equivalent control group non - synchronized quasiexperimental design. The tools included a 30 item knowledge scale, a 9 item physical symptom scale, Spielberger's state anxiety scale, and a 28 item daily activity scale. The instruments were applied before discharge and at two and six weeks after discharge. For data analysis, frequency, t-test, Pearson's Correlational Coefficient and Cronbach's $\alpha$ were used. The results were as follows : 1. Information given through the booklet was effective in increasing the knowledge of patients recovering from open heart surgery. The experimental group's knowledge was higher at 2 weeks after discharge than prior to discharge (P＜0.05). 2. There was no significant difference in physical symptoms between the two groups at two and six weeks after discharge. 3. Information given through the booklet was effective in decreasing the State Anxiety two weeks after discharge (P＜0.001) but at six weeks after discharge, there was no significant difference in anxiety between the control and the experimental groups. 4. There was no significant difference in daily activity between the two groups at two and six weeks after discharge. 5. There was a negative correlation between knowledge at discharge and at 2 weeks and anxiety at 2 weeks after discharge. There was a positive correlation between knowledge at discharge and daily activity at 2 weeks after discharge. There was a negative correlation between knowledge at 2 weeks and Physical symptom at 6 weeks after discharge.

• ETRI Journal
• /
• v.36 no.5
• /
• pp.714-720
• /
• 2014

In this paper, we propose the use of data-driven probabilistic utterance-level decision logic to improve Weighted Finite State Transducer (WFST)-based endpoint detection. In general, endpoint detection is dealt with using two cascaded decision processes. The first process is frame-level speech/non-speech classification based on statistical hypothesis testing, and the second process is a heuristic-knowledge-based utterance-level speech boundary decision. To handle these two processes within a unified framework, we propose a WFST-based approach. However, a WFST-based approach has the same limitations as conventional approaches in that the utterance-level decision is based on heuristic knowledge and the decision parameters are tuned sequentially. Therefore, to obtain decision knowledge from a speech corpus and optimize the parameters at the same time, we propose the use of data-driven probabilistic utterance-level decision logic. The proposed method reduces the average detection failure rate by about 14% for various noisy-speech corpora collected for an endpoint detection evaluation.

• Korean Journal of Health Education and Promotion
• /
• v.3 no.1
• /
• pp.99-111
• /
• 2001

Adolescent psychosocial smoking prevention programs have been successful, but limited in the magnitude of program effects on the reduction of smoking behaviors. This is primarily due to the mixed results of independent studies with program variations. This systematic, quantitative research synthesis is designed to identify program key factors that are likely to increase program effects. The present study examined school-based psychosocial smoking prevention programs (1978-1997)among students in grades 6 to 12 in the United States. Theoretical formulations in this analysis of mediating effects posit that program impact on knowledge and/ or skills is associated with less smoking behaviors among program participants. Knowledge factors investigated in this study included health effects, social consequences, social influences, and social norms. Skill factors included affective skill, self-efficacy, assertiveness, self-control, problem solving, and refusal skill. The findings from this study highlight the importance of social consequences knowledge factor and assertive communication skill factor in decreasing adolescent smoking behaviors.

• Proceedings of the Costume Culture Conference
• /
• 1997.05a
• /
• pp.12-12
• /
• 1997

• Journal of Korean Academy of Fundamentals of Nursing
• /
• v.13 no.1
• /
• pp.42-49
• /
• 2006

Purpose: This study was done to evaluate the effectiveness of cardiac rehabilitation education individualized to PCI patients in order to improve their knowledge of these diseases and to lessen their anxiety. Method: A Quasi experimental design with non-equivalent control group non-synchronized design was used. The experimental group had the PCI operation for ischemic heart disease and individualized cardiac rehabilitation education and counseling twice for 25 minutes each time using an educational booklet developed by the authors. The effects of the education were analyzed using a knowledge assessment tool, state anxiety inventory and anxiety visual analogue scale. Results: The experimental group who received the individualized cardiac rehabilitation education showed a high level of knowledge about diseases compared to the control group and particularly showed a significant difference in knowledge about the drugs used for treatment. However, no significant difference was observed between the two groups in the level of state anxiety and anxiety visual analogue scale. Conclusion: Individualized cardiac rehabilitation education did not reduce anxiety but it was effective in enhancing the participants' knowledge about the diseases. Thus, it can be utilized effectively in addressing risk factors in ischemic heart diseases by providing education individualized according to patients' demands and knowledge levels.

• Journal of the Korean BIBLIA Society for library and Information Science
• /
• v.22 no.1
• /
• pp.301-331
• /
• 2011

This study aims at investigating ways to enhance the efficiency of knowledge management systems in research institutes. This study analyzes the current state of knowledge management systems, changes in users' perception, and the use of knowledge management systems in Daedeok Science Park, and suggests improvement measures. This study reviews previous studies and employs a survey for case studies. This study also conducts log data analysis of knowledge management systems to investigate the current state of system use. The questionnaire asks about the interest in knowledge management, evaluation and rewards of knowledge contribution, quality of knowledge, and the level of utility. This study tests hypothesis and analyzes the frequencies. This study finds that the interest and use of knowledge management system have been remarkably dropped, and also reveals that maintaining reward systems and diverse rewarding systems are required.

• Journal of the East Asian Society of Dietary Life
• /
• v.10 no.4
• /
• pp.321-334
• /
• 2000

This study was performed by questionnaire to investigation the nutrition knowledge, the recognition, the preference and the actual state of use of sea mustard. The subjects of this study were consisted of 901 people (426 males and 475 females) in the Daegu and Kyungpook area. The results were summarized as follows: The nutrition knowledge score of sea mustard was 11.1 for male and 12.8 for female, respectively. The recognition non sea mustard dishes showed a high mean value of 4.11 to "healthy food". 54% of the respondent liked sea mustard and favorite dish was in the order of soup, fresh, cold soup, Wrapped, salted, fried sea mustard. Soup of sea mustard was the best favorite dish, followed by fresh sea mustard, cold soup, wrapped, salted, fried sea mustard, in descending order. Soaking time of sea mustard was 11~20 minutes and its percentage is 31.1%, 39.6% of responders suggested ′good quality′ as facts that has been improved in the commercial sea mustard.

• 제어로봇시스템학회:학술대회논문집
• /
• 1989.10a
• /
• pp.583-588
• /
• 1989

In this paper, a modelling methodology for a robotic workcell is proposed and compared with the conventional Petri nets model. Also, a method for managing the cell operation is described through the knowledge base. The knowledge bases for state transition and assembly job information are obtained from the state transition map(STM) and the assembly job tree(AJT), respectively. Using the knowledge base, the system structure is discussed in both managing the cell operation and evaluating the various performance. Finally, a simulation algorithm is presented with the simulation results to show the effectiveness of the proposed modelling approach.

• Journal of the Korean Society for Aviation and Aeronautics
• /
• v.20 no.1
• /
• pp.55-65
• /
• 2012

An airman licensing system is central to the establishment and management of a state's airman licensing which gives official privileges to a person to perform specific activities by evaluating applicant's knowledge and proficiency. In recent decades, the level of the domestic aviation industry continues to leap forward and state's airman licensing system has also been advanced. However, accidents caused by pilot human errors are still occurring. In particular, the pilot occupations require a lot of experience and knowledge and the student pilots receiving the initial flight training have formed their own flight habits based on knowledge, skill, training methods, procedures, etc learned from the flight instructor. This paper discusses possible ways on the improvement for the domestic flight instructor rating by analyzing domestic and international rules and procedures for a flight instructor rating.