• Journal of Oriental Neuropsychiatry
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• v.14 no.1
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• pp.27-44
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• 2003

Objective : The aim of this study was to assess protective effects of Whangryonhaedoktang on the chronic mild stress (CMS) animal model of depression. Method : Male Sprague-Dawley rats were used for this study. The subjects were divided into 3 groups (CMS-drug group: Whangryonhaedoktang was administered during CMS procedure, CMS-vehicle: water was administered during CMS procedure, normal control group: without CMS procedure). After 4 weeks of CMS procedure, Morris water maze (MWM) test and open field test were executed and tyrosine hydroxylase (TH) was measured in ventral tegmental area (VTA) and locus coeruleus (LC) of rat brain. Result : 1. CMS procedure induced defects of spatial learning in early period of MWM test. 2. CMS Whangryonhaedoktang group showed shorter escape latency in comparison with CMS control group in MWM test on the first day of the test. 3. CMS Whangryonhaedoktang group and CMS control group showed no significant difference of activities and emotional behaviors in comparison with normal control group in open field test. 4. CMS Whangryonhaedoktang group showed significant inhibition effects of TH expression in VTA and LC areas in comparison with CMS control group. Conclusion : These results suggest that Whangryonhaedoktang may have inhibition effects to early period defects of spatial learning and protective antidepressant effects in CMS model rats.

• The Journal of the Korea Contents Association
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• v.17 no.11
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• pp.541-553
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• 2017

Maker education rooted on Maker Movement refers to constructivist learning approach in which students as makers participate in producing visible outcomes through self-directed inquiry and creative hands-on activities in a real life context to solve their personal or social problems. The Maker education, therefore, stresses cultivation of 'maker mindset' in the process-oriented learning environments, pursuing evaluation aspects different from those in the existing educational system. In this context, this study aimed to explore an evaluation framework for the Maker education which reflects the Maker mindset: First, a literature review was conducted to search for the evaluation framework of the maker education which consists of the category of 5 ONs (Minds-on, Hands-on, Hearts-on, Social-on, Acts-on) representing intellectual, physical, emotional, interpersonal and practical aspects, respectively; Second, a Delphi survey for content validity was carried out to confirm the adequacy of the 5 ONs category along with sub-elements for each category. Finally, this study presented the evaluation framework for the Maker education, which is expected to be used as feedback rather than a measuring tool for the process and environments of the Maker education.

• Journal of The Korean Association of Information Education
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• v.24 no.3
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• pp.243-254
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• 2020

In order to cultivate AI(artificial intelligence) manpower, major countries are making efforts to apply AI education from elementary school. In order to introduce AI education in elementary school, it is necessary to have a curriculum and educational content for elementary school level. This study developed educational contents to experience the principle of AI learning at the unplugged level for the purpose of AI education for elementary school students. The educational content developed was selected as an AI that evaluates the emotion of sentences. In addition, to solve the problem, data attributes were derived and collected, and the process of AI learning was simulated to solve the problem. As a result of the study, the attitude of elementary school students to AI increased post than before. In addition, the task performance rate was averaged at 85%, showing that the proposed AI education content has educational significance.

• Journal of the Korean Institute of Intelligent Systems
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• v.16 no.1
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• pp.1-7
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• 2006

In this paper, adaptive Facial Emotional Recognition system based on Gabor Wavelet Neural Network, considering six feature Points in face image to extract specific features of facial expression, is proposed. Levenberg-Marquardt-based training methodology is used to formulate initial network, including feature extraction stage. Therefore, heuristics in determining feature extraction process can be excluded. Moreover, to make an adaptive network for new user, Q-learning which has enhanced reward function and unsupervised fuzzy neural network model are used. Q-learning enables the system to ge optimal Gabor filters' sets which are capable of obtaining separable features, and Fuzzy Neural Network enables it to adapt to the user's change. Therefore, proposed system has a good on-line adaptation capability, meaning that it can trace the change of user's face continuously.

• Korean Journal of Cognitive Science
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• v.21 no.4
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• pp.459-480
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• 2010

A dialogue system includes various morphological analyses for recognizing a user's intention from the user's utterances. However, a user can represent various intentions via emotional states in addition to morphological expressions. Thus, a user's emotion recognition can analyze a user's intention in various manners. This paper presents a new method to automatically recognize a user's emotion for a dialogue system. For general emotions, we define nine categories using a psychological approach. For an optimal feature set, we organize a combination of sentential, a priori, and context features. Then, we employ a support vector machine (SVM) that has been widely used in various learning tasks to automatically classify a user's emotions. The experiment results show that our method has a 62.8% F-measure, 15% higher than the reference system.

• The Journal of the Korea Contents Association
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• v.20 no.1
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• pp.573-580
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• 2020

The purpose of this study was to explore and to suggest the effective teaching methods for university students to improve their speaking abilities through peer assessment-feedback and self assessment-feedback based presentation and debate class. The objects and content of the study were the students who took a class "Reading and Communication" of H university, and here examine closely the speaking activities and their effects during the integrated activities of 'reading, speaking and writing'. In speaking education peer and self assessment feedback is to form an emotional consensus among the students and encourage active participation, and enable self-discovery and communication learning to students. As a result of the study, it was found that the variety speaking practice had a very positive effect on the attitude of speaking and the psychological aspect, and it was confirmed that the evaluation and feedback activities had a meaningful learning effect on the students. Effective speech education and guidance measures should be continuously studied and developed.

• Journal of Korean Elementary Science Education
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• v.22 no.1
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• pp.81-96
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• 2003

The purpose of this study is to draw up the promoting plan of science preference by survey and analysis of the preference for science of the elementary students. The preference for science is defined theoretically with three categories ; they are emotional response, behavioral response and value establishment. Causal factors of the science preference were composed of individual factor, educational factor and social factor. According to this theoretical model, a questionnaire was developed, and administered to 696 students of 4,5,6 grade of randomly selected eight elementary schools all over the nation. Elementary students liked science, but they didn't want to select their future job in science-technology area. The science preference of boys was higher than that of girls. The science preference of 4th grade students was higher than that of 5th and 6th grade students. Individual factor affected the curiosity. learning interest, subject accomplishment on the science and course selection in life. Educational factor not only directly affected the curiosity. learning interest, value establishment and belief of the science but also indirectly affected the individual factor and social factor. Therefore, educational factor was the most important on the science preference. Social factor only affected the value establishment and belief on the science. Elementary students wanted to team science through experiment and they wanted science to be easier than that of now. On the analysis of result, the promoting plan of the science preference was suggested.

• Journal of the Korean Institute of Intelligent Systems
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• v.18 no.1
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• pp.20-26
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• 2008

As they have more and more intelligence robots or computers these days, so the interaction between intelligence robot(computer) - human is getting more and more important also the emotion recognition and expression are indispensable for interaction between intelligence robot(computer) - human. In this paper, firstly we extract emotional features at speech signal and facial image. Secondly we apply both BL(Bayesian Learning) and PCA(Principal Component Analysis), lastly we classify five emotions patterns(normal, happy, anger, surprise and sad) also, we experiment with decision fusion and feature fusion to enhance emotion recognition rate. The decision fusion method experiment on emotion recognition that result values of each recognition system apply Fuzzy membership function and the feature fusion method selects superior features through SFS(Sequential Forward Selection) method and superior features are applied to Neural Networks based on MLP(Multi Layer Perceptron) for classifying five emotions patterns. and recognized result apply to 2D facial shape for express emotion.

• Journal of The Korean Association of Information Education
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• v.10 no.3
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• pp.289-298
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• 2006

Computer education is important to learn functions of computers, and it is necessary to enhance the ability such as high-power intelligence ability, originality, and positive thoughts on the future. In other words, not only is it important to learn functions to calculate using computers but also it is important to understand the principle of the way computers calculate and enlarge other abilities to solve other problems through understanding of the principle. Accordingly, this study aims to teach search and sort of data structure to a primary-school children. In addition its purpose is to design teaching and learning methods and teach according to the methods and find out whether primary-school children can understand the contents. Intelligent field was assessed through equivalent test before and after the test and emotional field through students' impressions after a lesson. The test showed that search and sort algorithm of data structure could be taught to children. That is, it presented the learnability of search and sort of data structure as a learning element of elementary school computer education.

• Journal of the Korean Institute of Educational Facilities
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• v.27 no.2
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• pp.35-47
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• 2020

The need for communication is emphasized in decision making, design methods and processes for the educational environment that contain new curricula and learning methods. In this study, we tried to find the direction and agenda of learner-centered environment restructuring through the 'user-integrated platform' in which various subjects related to school space environment understand each other's position and overcome the barriers and prejudices of each sector. The project was planned in a 'bottom-up process' method that uncovered the singularities of the previous stage and led the main contents of the next stage. The various subjects who participated in the project shared their own experiences and different positions regarding the school space. At the workshop, the topics of the participating teams were divided into two categories. The teams in the category of the 'school culture and space' insisted innovation of 'the school culture' as a premise for the restructuring of the 'school space', and proposed schools with different interpretations of 'authority and rules of school', 'the meaning of learning and play' and 'the main character of school. The teams in the category of the 'school borders and spaces' focused on 'communication' and proposed schools containing 'emotional care of students', 'borders between schools and villages', 'village community schools', and 'interspace and niche time'. After the workshop, we were able to derive the direction and architectural strategy of the school space restructuring by analyzing the works of the participants. Through this study, we confirmed the possibility of translating user's ideas into the professional domain through careful planning, preparation, facilitation, and analysis in Participatory Design.