• 한국정보교육학회:학술대회논문집
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• 2006.08a
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• pp.269-274
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• 2006

컴퓨터를 활용한 학습이 확대되면서 다양한 형태로 보급되어지고 있다. 그러나 교사와 학생간에 직접적인 학습형태가 아니라 네트워크와 여러 가지 매체를 통한 학습이기 때문에 교사가 학생에게 효율적으로 학습을 지도할 수 있는 교수 방법에 대한 피드백이 부족할 수 밖에 없다. 학생 입장에서는 일방적인 내용 전달 방법으로 학습의 동기를 저하시킬 수 있다. 따라서 본 연구는 Keller의 ARCS 모형의 전략 적용을 통해서 학습자가 컴퓨터를 사용하면서 스스로 동기를 유발하고 지속적, 체계적인 학습자 중심의 자기 주도적인 사이버 가정학습 인터페이스 학습 환경을 제공하고자 한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2001.04b
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• pp.1029-1032
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• 2001

자기구성 특징지도(Self-Organizing feature Map : SOM) 및 $L^*$ 등의 자가 학습 신경망의 알고리즘들은 학습 결과 중에 바람직하지 못한 뒤틀림 현상(cross-over)을 생성하게 되므로 재학습으로 인한 전반적인 학습 시간의 지연을 초래한다. 이 논문에서는 비교적 학습 속도가 빠른 $L^*$의 점증적 학습 구조를 기본으로 하여 뒤틀림 현상 방지를 목적으로 초기 학습 단계에서 학습 가중치들의 노드들을 재조정하는 개선된 알고리즘을 제안한다. 이러한 알고리즘의 실험 결과는 모두 정상적인 학습 결과를 보이고 학습의 시행 착오적인 재실행이 없으므로 전반적인 학습 속도는 기존의 알고리즘보다 빠르게 됨을 보인다.

• The Journal of the Convergence on Culture Technology
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• v.7 no.1
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• pp.309-316
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• 2021

The purpose of this study is to verify the effectiveness of community-based learning(CBL) on career decision-making self-efficiency of junior college students and explore the meaning. This study was conducted on 68 students and 10 departments participating in the CBL, which was supported by the D University Faculty Learning Development Center in Busan. First of all, does CBL affect the career decision-making self-efficiency for junior college students? Second, what is the meaning of CBL for career decisions for junior college students? The effectiveness of the CBL's before and after application surveys has shown statistically significant changes in the career decision-making self-efficiency. The meaning of CBL for learners' career decisions was derived from "improving understanding through on-site application of theory and creating confidence and commitment in their career paths by providing an opportunity to study." Through this, it can be seen that CBL is worth applying as a teaching method suitable for career guidance of junior college students.

• The Korean Journal of Franchise Management
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• v.5 no.1
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• pp.49-64
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• 2014

The purpose of this work is to analyze successful business strategy of Daekyo Noonnoppi. Daekyo Noonnoppi, a franchise company of educational service, activated education business by establishing new way of providing education opportunity: self-directed learning center. They introduced not only the concept of learning center but also sustainable business strategies, which leads to remarkable success in the education business field. Daekyo Noonnoppi deployed three managerial concepts for study achievement: goal management, study management, and environment management. This Franchise company has three advantages of its success: Goal, Study and environment management: First, the goal management helps students to develop self-directed attitudes by making(appropriate) atmosphere which is able to build study goal and plan. In addition, this company provides information to their students to searches ways of study through the test reflecting their tendency. Furthermore, this company offers a variety of events for motivating study. Second, study management is helpful for students to develop holistic fundamental knowledge through its textbooks of this company and provides solutions and time management for study through 1 on 1 study advice. Third, environment management is used to making atmosphere to develop self-directed learning way for its students and provides spaces for students equipped with multimedia systems and cyber learning infrastructures.

• Journal of The Korean Association For Science Education
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• v.31 no.5
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• pp.758-769
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• 2011

This study was designed to investigate the relations of motivation to related variables, and the motivation by student's variables basically through measure of motivation system about science learning. For this, 496 fourth-grade students and 425 eighth-grade students were required to accomplish a questionnaire on behavioral inhibition/activation system about science learning (SL-BIS/BAS), and self-efficacy. Based on these materials, SLBIS/BAS by student's variables and relations between the system to self-efficacy were analyzed. The result of this study shows the following:First, the sensitivity about SL-BIS in the eighth-grade was higher than in the fourth-grade. But sensitivity about SLBAS and self-efficacy in the eighth-grade was lower than in the fourth-grade Hence, the difference in sensitivity about SL-BIS/BAS agree with difference in motivation. Second, there were low negative correlation with SL-BIS and self-efficacy, and positive correlation with SL-BAS and self-efficacy. In addition, two systems account for 41% of self-efficacy, it showed that SL-BIS/BAS relates to self-efficacy. Through the results of this study, relations of motivation to related variables, and the motivation by student's variables were identified. These results would be helpful for teachers to understand the difference about motivation by students' variables and to make a plan for the appropriate strategies for learners.

• The Journal of Korean Association of Computer Education
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• v.18 no.6
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• pp.43-51
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• 2015

In this paper, we develops the hybrid career coaching model combined the face to face and the E-coaching, and applies students of childhood education for career guidance. The presented hybrid career coaching manages a profile and state information and a remote access between the coach and coachee on Internet. Then, online part of hybrid coaching deals with saving the data, and understand of the situation of the coachee if it is necessary. And face to face part of hybrid coaching have a conversation, the checking, counsel and introspection if the coach needs. Presented hybrid career coaching model has th procedure of 6 steps such like career coaching guidance, self-understanding, career decision-making, establishment of the career execution planning, execution plan and action will inspection and execution result inspection. Proposed hybrid career coaching is possible to understand coachee's current state on the career map, realize the importance of the execution strategy and maximize the efficiency and effectiveness self-regulation capacity.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2005.05a
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• pp.260-267
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• 2005

자기조직화지도(Self Organizing Map, SOM)는 비지도 신경망으로서 고차원의 입력공간을 위상적관계를 유지시키면서 저차원으로 사영 시킬 수 있는 특징을 갖고 있다. SOM은 패턴인 식과 자료압축/재생 등 여러 분야에서 유용하게 활용될 수 있으며 특히 고차원 자료의 시각화 방법으로 많은 관심을 받고 있다. 본 연구에서는 SOM의 quantization error를 줄이기 위한 목적으로 인공데이터를 생성시켜 학습에 이용하는 방법을 제시한다. 이는 특히 데이터가 부족한 상황에서 SOM을 학습시켜야 할 때 유용하게 적용될 수 있을 것으로 기대된다.

• Journal of Digital Contents Society
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• v.11 no.2
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• pp.129-134
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• 2010

Today's elementary schools emphasize practice- and learner-based computer courses. In this research, we found solutions to the above issues by adapting a demonstration/practice teaching method led by multiple teaching assistants, expanding lessons tailored to each student's own level. We chose fourth graders from three classes at Elementary School as the subject for this research. Through this research, we have analyzed the students' study results, self-efficacy, response and interest in the computer courses by examining three groups of students: the first group led by a teacher's demonstration and practice, the second group by a teaching assistant's demonstration and practice, and the last by multiple teaching assistants' demonstration and practice. As a result, we were able to show that a computer course taught by multiple teaching assistants will help not only induce an interest and motive for a mutual learning environment among the students, but also bring positive effects on the study results and self-efficacy.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2002.05a
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• pp.77-80
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• 2002

이상치를 포함한 학습 데이터의 군집화 전략은 일반적으로 이상치를 포함하여 학습하거나, 이상치를 제거하는 두 가지 선택이 가능하다. 이상치를 제거하지 않고 학습에 반영시켜야 할 경우 한 개 또는 소수의 이상치가 독자적인 군집을 형성하거나 객관적인 군집화를 방해하는 문제가 발생할 수 있다. 이 때 주어진 학습 데이터의 군집 결과가 이상치의 영향으로부터 벗어나기 위해 원래의 학습 데이터에 대한 변환 작업을 거친 후 군집화를 수행할 수 있다. 이러한 변환 방법으로서 본 논문에서는 차원 축소의 기법으로 알려진 인자 분석의 점수를 사용하였다. 인자 점수로 변환된 학습 데이터에 대해 계층적 군집화, K-means 그리고 자기조직화 지도 등과 같은 군집화 알고리즘을 적용하면 이상치가 자신만의 군집을 별도로 형성하지 않고 다른 학습 데이터의 군집에 소속되면서 이상회의 영향으로부터 벗어남을 실험을 통하여 확인하였다.

• 한국HCI학회:학술대회논문집
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• 2008.02a
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• pp.245-250
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• 2008

최근 동작 및 행동 인식에 대한 연구가 활발하다. 특히, 센서가 소형화되고 저렴해지면서 그 활용을 위한 관심이 증가하고 있다. 기존의 많은 행동 인식 연구에서 사용되어 온 정적 분류 기술 기반 동작 인식 방법은 연속적인 데이터 분류 기술에 비해 유연성 및 활용성이 부족할 수 있다. 본 논문에서는 연속적인 데이터의 패턴 분류 및 인식에 효과적인 확률적 추론 기법인 은닉 마르코프 모델(Hidden Markov Model)과 사전 지식 없이도 자동 학습이 가능하며 의미 깊은 궤적 패턴을 클러스터링하고 효과적인 양자화가 가능한 자기구성지도(Self Organizing Map)를 이용한 동작 인식 기술을 소개한다. 또한, 그 유용성을 입증하기 위해 실제 가속도 센서를 이용하여 다양한 동작에 대한 데이터를 수집하고 분류 성능을 분석 및 평가한다. 실험에서는 실제 가속도 센서를 통해 수집된 숫자를 그리는 동작의 성능 평가 결과를 보이고, 행동 인식기 별 성능과 전체 인식기별 성능을 비교한다.