• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.16 no.2
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• pp.137-144
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• 2016

The purpose of this study is to investigate the structural relationships among goal orientation, teaching presence, approaches to leaning, satisfaction and academic achievement. For this study, the web survey was administered to 235 learners who participated in distance lifelong education centers of A, B, and C university in South Korea. Structural equation modeling (SEM) analysis was conducted in order to examine the causal relationships among the variables. The results indicated that first, mastery-approach goal and teaching presence had positive effects on deep approach. Second, mastery-approach goal showed negative effects on surface approach, while teaching presence did not. Third, deep approach had positive effects on satisfaction, Fourth, surface approach had negative effects on satisfaction. Fifth, deep approach showed positive effects. Last, surface approach showed negative effects on academic achievement. Based on the result of the research, the study propose the constructive foundation for providing strategies raising the satisfaction and academic achievement in distance life-long education.

• Journal of The Korean Association For Science Education
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• v.40 no.4
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• pp.385-398
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• 2020

This study aims to examine genetics problem-solving processes of high school students with different learning approaches. Two second graders in high school participated in a task that required solving the complicated pedigree problem. The participants had similar academic achievements in life science but one had a deep learning approach while the other had a surface learning approach. In order to analyze in depth the students' problem-solving processes, each student's problem-solving process was video-recorded, and each student conducted a think-aloud interview after solving the problem. Although students showed similar errors at the first trial in solving the problem, they showed different problem-solving process at the last trial. Student A who had a deep learning approach voluntarily solved the problem three times and demonstrated correct conceptual framing to the three constraints using rule-based reasoning in the last trial. Student A monitored the consistency between the data and her own pedigree, and reflected the problem-solving process in the check phase of the last trial in solving the problem. Student A's problem-solving process in the third trial resembled a successful problem-solving algorithm. However, student B who had a surface learning approach, involuntarily repeated solving the problem twice, and focused and used only part of the data due to her goal-oriented attitude to solve the problem in seeking for answers. Student B showed incorrect conceptual framing by memory-bank or arbitrary reasoning, and maintained her incorrect conceptual framing to the constraints in two problem-solving processes. These findings can help in understanding the problem-solving processes of students who have different learning approaches, allowing teachers to better support students with difficulties in accessing genetics problems.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2022.06a
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• pp.165-166
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• 2022

최근 전세계적으로 자율운항선박(Maritime Autonomous Surface Ship, 이하 MASS)의 기술 개발 및 시험 항해가 본격적으로 추진되고 있다. 하지만 MASS의 출현과 별개로 운항 방식, 제어 방식, 관제 방식 등 명확한 지침은 부재한 상태이다. 육상에서는 머신 러닝을 통하여 자율주행차에 대한 다양한 제어 방식을 연구하고 있으며, 이에 따라서 MASS도 제어 또는 통항 방식에 대한 기초 틀을 마련할 필요성이 있다. 하지만 육상과 달리 해상은 기상, 조종성능, 수심, 장애물 등 다양한 변수들이 존재하고 있어 접근 방식이 복잡하여, 머신 러닝을 적용할 때 환경에 대한 요소를 적절하게 설정해야 한다. 따라서 본 연구는 멀티 에이전트 강화학습을 통하여 MASS의 자율적인 통항 방식을 제안하기 위하여 강화학습의 해상교통환경 설정을 위한 요소를 도출하고자 하였다.

• Proceedings of the Korea Society for Simulation Conference
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• 2000.11a
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• pp.235-240
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• 2000

현재 웹 코스웨어의 대부분은 하이퍼텍스트 문서들간의 비선형적인 연결에 의한 학습 방식을 채택하고 있으나, 이는 단순한 페이지 링크형 학습으로서 그리 커다란 교육 효과를 발휘하기에는 어렵다는 한계를 맞이하고 있다. 이러한 상황에서 다중 학습자가 동기적으로 참여하는 시뮬레이션 게임 방식은 웹 코스웨어의 현재 한계를 뛰어넘을 수 있는 하나의 교수·학습 모델이 될 수 있을 것으로 기대된다. 이에 본 논문에서는 다중 학습자가 동기적으로 참여하는 시뮬레이션 게임 방식의 웹 코스웨어에 대한 수업 모델을 제안하고 있다. 이 수업 모델은 Atkinson의 체제적 접근 방식의 게임 설계, Alessi와 Trollip의 시뮬레이션의 구조와 절차, Reigeluth와 Schwartz의 시뮬레이션에서의 학습자 역할에 대한 분석 연구를 기반으로 설계하였다.

• Journal of the Korean Institute of Intelligent Systems
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• v.6 no.2
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• pp.52-56
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• 1996

In trainir~ga back-propagation neural network, the learning speed of the network is greatly affected by its learning rate. Most of off-line fashioned learning-rate selection methods, however, are empirical except for some deterministic methods. It is very tedious and difficult to find a good learning rate using the empirical methods. The deterministic methods cannot guarantee the quality of the quality of the learning rate. This paper proposes a new learning-rate selection method. Our off-line fashioned method selects a good learning rate through stochastically searching process using evolutionary programming. The simulation results show that the learning speed achieved by our method is superior to that of deterministic and empirical methods.

• Journal of The Korean Association For Science Education
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• v.19 no.2
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• pp.229-238
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• 1999

This study investigated the influences of Vee diagram and regulative metacognitive learning strategies upon 6th-graders' achievement, difficulty toward science lesson, self-efficacy, and learning approach. The Vee diagram and regulative metacognitive learning strategies were modified in a pilot study. Before instruction, an achievement test was administered, and its score was used as a blocking variable. A previous science grade was used as a covariate for post-achievement. Tests of difficulty toward science lesson, self-efficacy, and learning approach were also administered, and the test scores were used as covariates. After instruction, a researcher-made achievement test and post-tests of the above variables were administrated. Two-way ANCOVA results revealed that although there were no significant differences in the achievement test scores, the application subtest scores of the two treatment groups were significantly higher than those of the control group. There were no significant differences in the difficulty toward science lesson and learning approach, but self-efficacy scores for the students with Vee diagram and regulative metacognitive learning strategies were significantly higher than those of the other groups. The perceptions of the students using Vee diagram were also analyzed.

• Annual Conference on Human and Language Technology
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• 2018.10a
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• pp.55-60
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• 2018

기계학습 기반인 관계추출 모델을 설계할 때 다량의 학습데이터를 빠르게 얻기 위해 원격지도학습 방식으로 데이터를 수집한다. 이러한 데이터는 잘못 분류되어 학습데이터로 사용되기 때문에 모델의 성능에 부정적인 영향을 끼칠 수 있다. 본 논문에서는 이러한 문제를 강화학습 접근법을 사용해 해결하고자 한다. 본 논문에서 제안하는 모델은 오 분류된 데이터로부터 좋은 품질의 데이터를 찾는 문장선택기와 선택된 문장들을 가지고 학습이 되어 관계를 추출하는 관계추출기로 구성된다. 문장선택기는 지도학습데이터 없이 관계추출기로부터 피드백을 받아 학습이 진행된다. 이러한 방식은 기존의 관계추출 모델보다 좋은 성능을 보여주었고 결과적으로 원격지도학습데이터의 단점을 해결한 방법임을 보였다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2018.07a
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• pp.47-48
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• 2018

본 논문에서는 NP-hard 문제로 알려진 잡샵 스케쥴링에 대하여 강화학습적 측면에서 접근하는 방식에 대해 제안한다. 다양한 시간이 소요되는 업무들이 가지는 특징들을 최대한 state space aggregation에 고려하고, 이를 neural network를 통해 최적화 시간을 줄이는 방식이다. 잡샵 스케쥴링에 대한 솔루션은 미래에 대한 예측이 불가능하고 다양한 시간이 소요되는 스케쥴링 문제를 최적화하는 것에 대한 가능성을 제시할 것으로 기대된다.

• Proceedings of the Korea Contents Association Conference
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• 2006.05a
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• pp.367-369
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• 2006

The educational contents could be better off when the visualization, personalized storytelling and interaction are combined and fused in the interface. In this paper, we analyze the specification of I/O cooperation based on MS agent framework. which can be applied to the development of educational contents.

• Journal of The Korean Association For Science Education
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• v.30 no.5
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• pp.668-680
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• 2010

In this study, we investigated the characteristics, the mapping understanding, the mapping errors, and the perceptions of student-generated analogies on the separation of mixtures using the sizes of particles by elementary school students' approaches to learning. Fourth graders (N=92) were selected and administered with the tests on the approaches to learning, self-generating analogies, and perception of self-generating analogies. The results revealed that the meaningful learners made more analogies, especially structural/functional, enriched, and higher systematic ones than the rote learners. However, there were little difference in students' approaches to learning in the subcategories of representation (verbal, pictorial, and verbal/pictorial), artificiality (artificial and everyday), and abstraction (abstract and concrete). The meaningful learners had deeper understanding of the analogy and fewer mapping errors than the rote learners. In addition, the numbers of the shared attributes included in student-generated analogies and the scores of the mapping understanding of the meaningful learners were significantly higher than those of the rote learners. Many students, regardless of students' approaches to learning, had positive perceptions of the self-generating analogies in various cognitive and motivational aspects. However, they also point out the various difficulties in the self-generating analogies as their disadvantages. Educational implications of these findings are discussed.