• Journal of the Korean Institute of Intelligent Systems
• /
• v.7 no.4
• /
• pp.74-81
• /
• 1997

This paper proposes an evolutionary learning algorithm to discipline the projection neural nctworks (PNNs) with special type of hidden nodes which can activate radial basis functions as well as sigmoid functions. The proposed algorithm not only trains the parameters and the connection weights hut also c~ptimizes the network structure. Through the structure optimization, the number of hidden node:; necessary to represent a given target function is determined and the role of each hidden node is decided whether it activates a radial basis function or a sigmoid function. To apply the algorithm, PNN is realized by a self-organizing genotype representation with a linked list data structure. Simulations show that the algorithm can build the PNN with less hidden nodes than thc existing learning algorithm using error hack propagation(EE3P) and network growing strategy.

• Journal of The Korean Association For Science Education
• /
• v.33 no.3
• /
• pp.679-693
• /
• 2013

The purpose of this study is to develop an inventory to classify task commitment types of science learning and to classify highschool students' task commitment types. Firstly, inventory questions were designed following the literature analysis on the task commitment components which involve self confidence, high goal setting, and focused attention. Prototype inventory underwent the content validity test, pilot test, and reliability test. Through these steps, final inventory was input to 462 high school students and underwent the factor analysis and cluster analysis. Factor analysis confirmed three components of task commitment as the three factors of inventory questions. In order to find how many clusters exist, factors of developed inventory became new variables. Each factor's factor mean was calculated and served as the new variable of the cluster analysis. Cluster analysis extracted five clusters as task commitment types. The 5 clusters were suggested by the agglomarative schedule and dendrogram gained from a hierarchical cluster analysis with the setting of the Ward algorithm and Squared Euclidean distance. Based on the factor mean score, traits of each cluster could be drawn out. Inventory developed by this study is expected to be used to identify student commitment types and assess the effectiveness of task commitment enhancement programs.

• Journal of Gifted/Talented Education
• /
• v.7 no.2
• /
• pp.19-45
• /
• 1997

Twenty-three of International Math Olympians raised in Korea were served as the subjects to answer the following questions: (1) What family and school factors contribute to the development of the math talent of the Olympians\ulcorner (2) What impacts have the Olympiad program on the mathematically talented students\ulcorner By means of questionnaire survey and in-depth interview, the related data were collected. The questionnaires were developed by James Campbell for cross-cultural studies. The major findings were as follows: (1) the olympians were mostly 1st-born child and were "discovered" in an early age; (2) most olympians ranked highly in the class; (3) the SES of the Olympians' family were varied, though the majority were high; (4) the Olympians' family support and learning environment were reported strong and positive; (5) the Olympiad experiences were, in general, positive to the subjects, especially in learning attitude toward math and science, self-esteem and in autonomous learning and creative problem solving; (6) there were almost none special program designed for the Olympians during their school years; (7) the degree of computer literacy were varied according to the subject's personal interest and the accessibility to the computer; (8) most Olympians had not yet showed special achievement other than math as there were still students; (9) the Olympians were individuals with unique characteristics.teristics.

• 한국정보교육학회:학술대회논문집
• /
• 2010.08a
• /
• pp.251-257
• /
• 2010

Integrated education is an ultimate goal of education for the disabled students. Thus, it is very important to let the disabled students participate in integrated class actively and vividly. The purpose of this paper is to propose design principles to allow the disabled students to participate in integrated class actively using mobile learning concept. Our design principles have the following characteristics. First, students can participate in class anytime anywhere. Second, the design principles are made for social class of the disabled students.

• Journal of Agricultural Extension & Community Development
• /
• v.8 no.2
• /
• pp.179-190
• /
• 2001

The purpose of this study was to analysis the education effects of web-based on-line cyber program mesaured by Kirkpatrick’s evaluation process. The average score on satisfaction of the program was 4.28(.59), which was designed to evaluate the level 1, reaction. To test level 2, learning, the average score that students achieved was calculated and it was 86.87(std.=7.05) in the term examinations. The level 3, job months. It was reported that most employees who took the course are utilizing the knowledge that they acquired from the course(mean=3.80, std.=.77). To identify the level 4, business results, the mean score of the number of accidents and near misses that happened in their factories for 3 months before and after the course were compared. There was statistically significant difference between the number of accidents that happened 3 months before the course and 3 months after the course, at the significance level of .01, which was tested by Paired t-test.

• Journal of Intelligence and Information Systems
• /
• v.7 no.1
• /
• pp.63-79
• /
• 2001

Data Envelopment Analysis(DEA), a non-parametric productivity analysis tool, has become an accepted approach for assessing efficiency in a wide range of fields. Despite of its extensive applications and merits, some features of DEA remain bothersome. DEA offers no guideline about to which direction relatively inefficient DMUs improve since a reference set of an inefficient DMU, several efficient DMUs, hardly provides a stepwise path for improving the efficiency of the inefficient DMU. In this paper, we aim to show that DEA can be used to evaluate the efficiency of life insurance companies while overcoming its limitation with the aids of machine learning methods.

• Journal of Society of Preventive Korean Medicine
• /
• v.16 no.1
• /
• pp.31-42
• /
• 2012

Objective : To set up the concept and the category of the medical humanities in Korean medicine education through researching and analysing the curriculum of 12 colleges and school of Korean medicine (KM) in Korea. Methods : We collected self-evaluation reports from 12 KM institutions, and analyzed subjects regarding medical humanities and social medicine. The subjects' relevance with medical humanities was verified using the learning objectives of KOMEEI(Korea Oriental Medicine Education and Evaluation Institute). The number of relevant subjects, the credits and educational hours, and the time of opening, etc. were analysed. Results : 12 KM institutions provide 44 subjects as medical humanities and social medicine related subjects. Among them, 17 subjects were corresponded to the actual learning objective of medical humanities. These subjects account for an average of 7% in total curriculum. Most of the subjects are required courses for premedical students and the fourth year students of medical school. Conclusions : This paper suggests the public discussion on the learning objective and the categories of the medical humanities education in KM institutions. Further studies on developing the educational contents and evaluation tools are also needed to produce good doctors with ability and personality.

• The Journal of the Acoustical Society of Korea
• /
• v.14 no.1
• /
• pp.13-21
• /
• 1995

In this paper, we improve an image classifier algorithm based on neural network learning. It consists of two steps. The first is input pattern generation and the second, the global neural network implementation using an improved back-propagation algorithm. The feature vector for pattern recognition consists of the codebook data obtained from self-organization feature map learning. It decreases the input neuron number as well as the computational cost. The global neural network algorithm which is used in classifier inserts a control part and an address memory part to the back-propagation algorithm to control weights and unit-offsets. The simulation results show that it does not fall into the local minima and can implement easily the large-scale neural network. And it decreases largely the learning time.

• Journal of Agricultural Extension & Community Development
• /
• v.20 no.3
• /
• pp.603-642
• /
• 2013

Community Business is defined as profit-making enterprise for which a community residents can take to solve their own problems. It is comprised of some sequential activities: identifying problems, collective learning, organization. In rural South Korea, the central and local governments are promoting Community Businesses. However, the related policy programs are missing the very important perspective that self-help approach be essential in Community Business. Therefore, the policy programs should be changed so that they could effectively help community's autonomous practice.

• The Journal of Korean Association of Computer Education
• /
• v.10 no.4
• /
• pp.125-133
• /
• 2007

Many researches have tried to introduce affective computing for Human-Computer Interaction (HCI). In the affective aspect, emotional memories significantly affect on people's cognitive processing activities. In this paper, to observe the effect of affective feedback for emotional state of learners in an e-learning environment, selected emotional feedback messages and delivery method are integrated into an e-learning system. Self reporting button for recognizing learner's emotional state are used for detecting learner's emotional states and the test results show that providing affective feedback to learner has positive effects in e-learning environment in terms of learner's academic achievements.