• 한국HCI학회:학술대회논문집
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• 2008.02b
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• pp.78-84
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• 2008

The traditional intelligent teachable system has mainly focused on knowledge and cognition. It has overlooked motivational aspects of learners. Motivation is an important factor in learning making learners to have interests in a given task and persist it. Although the systems include cognitive as well as motivational factors, the effects of ITS on interest are not equivalent depending on individual characteristics. This study is to investigate how influence learners' response patterns to their interests and also examined effects of individual characteristics on interest in teachable agent (TA). In this experiment, we used KORI which is a new type of ITS that learner teach computer agent based on the instructional method of learning by teaching'. In the beginning of experiments, metacognition, achievement goal orientation and self-efficacy were measured as individual characteristics. Then, participants were asked to use KORI at home during 10 days. After using KORI the level of interest were measured. The result showed that metacognition was positively related with interest, whereas performance goal orientation and mastery goal orientation were negatively related to interest. It suggests t hat different individual characteristics should be considered to promote learners' intrinsic motivation in TA.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.40 no.2
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• pp.9-16
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• 2003

We proposed a method of a virtual robot arm controlled by the EMG pattern recognition using an improved SOFM method. The proposed method is simple in that the EMG signals are used as SOFM's input directly without preprocessing but nevertheless input patterns are reliably classified and then used for fuzzy logic systems to automatically tune the neighborhood and the learning rate. In order to verify the effectiveness of the proposed method, we experimented on EMG pattern recognition of 6 movements from the shoulder, wrist, and elbow. Experimental results show that the proposed SOFM method has 21.7% higher recognition rate than the general SOFM method, the average number of learning iterations has been decreased, and then the virtual robot arm is controlled by EMG pattern recognition.

• English Language & Literature Teaching
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• v.13 no.4
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• pp.271-292
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• 2007

The purpose of this study is to investigate what English teachers think about what and how to teach culture, as a way of helping students build relevant background knowledge and enhance their motivation in learning English. A total of 300 teachers completed a self-report questionnaire in four areas: (i) their understanding and liking of English-spoken countries, (ii) their use of materials and tools for teaching culture, (iii) their consciousness of teaching culture, and (iv) their needs for culture learning in the teacher-training program. The results show that (i) they think American culture is dominant in EFL but they are much interested in British culture; (ii) they rely on internet most for their cultural experience while they think students get much of the cultural information from textbooks; (iii) they are very much conscious of the importance of teaching culture for improving students' English proficiency; (iv) they want to learn in the teacher training program more about cultural practice, which can be subsumed under the so called 'small c'. The findings suggest that (i) textbooks need to include contents to promote students' cultural awareness and foster intercultural competence, (ii) teachers should use authentic materials with appropriate adaptation, and (iii) a teacher training program should cover a wide range of contents and skills for teaching culture.

• Korean System Dynamics Review
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• v.13 no.4
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• pp.33-55
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• 2012

The research is to identify important diffusion factors and their effects on green car diffusion process using system dynamics perspectives and a causal-loop analysis. Through a deep review on previous research, we have found the important factors of green car diffusion process. Price, driving range, network effect, recharge system, fuel cost had important facilitation on consumer attraction and green car diffusion. Based on the review, we have constructed a causal loop diagram explaining hybrid car diffusion process. We have found 3 important reinforcing loops in the causal loop diagram. Loop for learning & economies of scale(supply side), loop for network effect(consumer side), and loop for battery development(technology side) had most significant roles in the whole diffusion process. Through a deliberate analysis on the 3 causal loops, we have found meaningful results. First, there seems to exist a critical mass in the diffusion. Second, of the 3 loops, the battery technology had most significant role. Third, not consumer installed base but sales must be a standard to decide whether the critical mass is achieved or not. Based on these findings, several meaningful implications are suggested for the government and corporations related to the green car industries.

• Journal of Engineering Education Research
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• v.20 no.3
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• pp.3-12
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• 2017

This research points out the necessity of customized communication education for engineering students in the era of the Fourth Industrial Revolution. This paper also points out such problems of current communication education as presentation and discussion-focused 'Public Speech' exercises, absence of interests about social issues, and lack of interactive communication learning. In general, as the characteristics of their major education, engineering students are not aggressive in self-questioning and active communication rather than their sensitive reaction to the changes of the new era. Considering these characteristics of engineering students, this research emphasizes that future communication education should be deployed from the major-focused thinking to the development of convergent thinking, from the problem-solving to the problem-finding, and from the contentious thinking to the cooperative thinking. In addition, as a class design reflecting future trends, this research emphasizes, firstly the development of cooperative communication education model, secondly active utilization of SMART technology, and lastly the importance of customized-coaching for each student considering their own characteristics and requirements.

• The Korean Journal of Emergency Medical Services
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• v.8 no.1
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• pp.19-32
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• 2004

This study was conducted to identify an initial fire station experience of EMT students, so to better understand their' practice experience in fire station. The subjects were 28 EMT students of C department of Emergency Medical technology in C city, who were demonstrating at the fire station in C city. This study was approached by phenomenological method, collected data were analyzed by Colaizzi's method, the results were as a follows. From the protocol, 201 significant statements were organized into 93 formulated meanings. From the formulated meanings, 30 themes were identified, organized into 16 theme clusters, and then 7 categories. EMT students got experienced 'tension' in resulting from new training situation and at the field practice, 'comport and gratitude', in feeling of identity and a bond sympathy with senior EMT, in training environment and heartfelt care, 'stress' from lack of knowledge and skill, difficulties in field practice for 24 hours, in dealing with making interpersonal relationship with patient and staffs and from the insufficiency of instruction, 'confidence feeling' from the participation of field treatment, in improving of learning, in self-esteem of EMT job, 'confusing feeling' of conflict of the path in work, 'disappointment and doubt' by the discrepancy between learning and actuality, and disappointment of actuality, 'feeling of lack' based on the passive attitude. The results of this study are to use as basic data for students attending fire station experience for the first time.

• Journal of The Korean Association of Information Education
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• v.3 no.1
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• pp.94-115
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• 1999

Multimedia CAI programs have been produced which encourage self-study and positive learning activities. With instant feedback from the CAI program, students' errors can be corrected easily and the composition ability can be advanced have been done. To increase students' computer capability and composition abilities the following studies. 1. Make an estimate about the factors affecting composition themes and prepare a course based on individual students' needs. 2. Design and implement CAI programs for the enhancement of composition ability. 3. Find an effective teaching-learning model for the generalization of the CAI title and then verify the results.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2001.05a
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• pp.255-259
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• 2001

Most of education sites which are related to practical computer lecture are almost teaming and testing based on character-contents. In this thesis, commercial high school needs the use of new application programs which appear quickly. So as teacher and students can contact with each other in classroom, we implemented self-learning which has text, visual and auditory function with the use of animation technology. Not only quantity testing which has been used for the purpose of selection and arrangement, but also we designed and implemented quality testing which consider the level and individuality of student.

• Journal of the Korean Institute of Navigation
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• v.21 no.3
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• pp.55-66
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• 1997

In this paper, applications of neural networks to vibration control of flexible single link robot manipulator are ocnsidered. The architecture of neural networks is a hidden layer, which is comprised of self-recurrent one. Tow neural networks are utilized in a control system ; one as an identifier is called neuro identifier and the othe ra s a controller is called neuro controller. The neural networks can be used to approximate any continuous function to any desired degree of accuracy and the weights are updated by dynamic error-backpropagation algorithm(DEA). To guarantee concegence and to get faster learning, an approach that uses adaptive learning rates is developed by introducing a Lyapunov function. When a flexible manipulator is ratated by a motor through the fixed end, transverse vibration may occur. The motor torque should be controlle dinsuch as way, that the motor is rotated by a specified angle. while simulataneously stabilizing vibration of the flexible manipulators so that it is arrested as soon as possible at the end of rotation. Accurate vibration control of lightweight manipulator during the large body motions, as well as the flexural vibrations. Therefore, dynamic models for a flexible single link manipulator is derived, and LQR controller and nerual networks controller are composed. The effectiveness of the proposed nerual networks control system is confirmed by experiments.

• Proceedings of the KIEE Conference
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• 2002.11c
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• pp.163-168
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• 2002

The voting algorithm for action selection performs self-improvement by Reinforcement learning algorithm in the dynamic environment. The proposed voting algorithm improves the navigation of the robot by adapting the eligibility of the behaviors and determining the Command Set Generator (CGS). The Navigator that using a proposed voting algorithm corresponds to the CGS for giving the weight values and taking the reward values. It is necessary to decide which Command Set control the mobile robot at given time and to select among the candidate actions. The Command Set was learnt online by means as Q-learning. Action Selector compares Q-values of Navigator with Heterogeneous behaviors. Finally, real-world experimentation was carried out. Results show the good performance for the selection on command set as well as the convergence of Q-value.