• 정보처리학회논문지B
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• 제9B권2호
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• pp.155-162
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• 2002

강화 학습(reinforcement teaming)은 시행-착오(trial-and-er개r)를 통해 동적 환경과 상호작용하면서 학습을 수행하는 학습 방법으로, 실시간 강화 학습(online reinforcement learning)과 지연 강화 학습(delayed reinforcement teaming)으로 분류된다. 본 논문에서는 미로 환경에서 최단 경로를 빠르게 탐색할 수 있는 실시간 강화 학습 시스템(ONRELS : Outline REinforcement Learning System)을 제안한다. ONRELS는 현재 상태에서 상태전이를 하기 전에 선택 가능한 모든 (상태-행동) 쌍에 대한 평가 값을 갱신하고 나서 상태전이를 한다. ONRELS는 미로 환경의 상태 공간을 압축(compression)하고 나서 압축된 환경과 시행-착오를 통해 상호 작용하면서 학습을 수행한다. 실험을 통해 미로 환경에서 ONRELS는 TD -오류를 이용한 Q-학습과 $TD(\lambda{)}$를 이용한 $Q(\lambda{)}$-학습보다 최단 경로를 빠르게 탐색할 수 있음을 알 수 있었다.

• 한국과학교육학회지
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• 제32권9호
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• pp.1452-1469
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• 2012

This study examined the science learning environments experienced by Korean and U.S. preservice elementary science teachers during their 3-week clinical experience. Observational experiences of 97 Korean and 112 U.S preservice teachers were surveyed with an instrument that we developed for the study. Follow-up interviews provided a clearer picture of what preservice teachers observed and experienced in science classrooms during their clinical experiences. Korean preservice teachers experienced a variety of science teaching environments, whereas the U.S. preservice teachers reported limited opportunities to observe science teaching and learning in terms of 6 identified facets that we posed. Along with our interpretation of the contrast in findings, some of the challenges are discussed in providing preservice teachers with opportunities to observe, experience, and teach in effective science learning environments during the clinical experience.

• International Journal of Control, Automation, and Systems
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• 제5권6호
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• pp.674-680
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• 2007

The probabilistic roadmap (PRM) method, which is a popular path planning scheme, for a manipulator, can find a collision-free path by connecting the start and goal poses through a roadmap constructed by drawing random nodes in the free configuration space. PRM exhibits robust performance for static environments, but its performance is poor for dynamic environments. On the other hand, reinforcement learning, a behavior-based control technique, can deal with uncertainties in the environment. The reinforcement learning agent can establish a policy that maximizes the sum of rewards by selecting the optimal actions in any state through iterative interactions with the environment. In this paper, we propose efficient real-time path planning by combining PRM and reinforcement learning to deal with uncertain dynamic environments and similar environments. A series of experiments demonstrate that the proposed hybrid path planner can generate a collision-free path even for dynamic environments in which objects block the pre-planned global path. It is also shown that the hybrid path planner can adapt to the similar, previously learned environments without significant additional learning.

• International Journal of Contents
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• 제4권4호
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• pp.18-23
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• 2008

With the development of information communication and network technologies, ubiquitous era that supports various services regardless of places and time has been advancing. The development of such technologies has a great influence on educational environments. As a result, e-learning concepts that learners use learning contents in anywhere and anytime have been proposed. The various learning contents authoring systems that consider the e-learning environments have also been developed. However, since most of the existing authoring systems support only PC environments, they are not suitable for various ubiquitous mobile devices. In this paper, we design and implement a contents authoring system based on learning activities for u-learning environments. Our authoring system significantly improves the efficiency for authoring contents and supports various ubiquitous devices as well as PCs.

• 한국과학교육학회지
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• 제20권1호
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• pp.12-19
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• 2000

본 연구에서는 2개 중학교의 3학년 164명(남학생 80명, 여학생 84명)을 대상으로 컴퓨터실 과학 학습환경, 컴퓨터 관련 태도 그리고 컴퓨터 경험 사이의 관련성에 대하여 조사하였다. 컴퓨터실 과학 학습 환경에 대한 인식 검사(CSLEI)와 컴퓨터 관련 태도 검사 (CRAS)를 실시하였고, 학생들의 컴퓨터 경험을 조사하였다. CSLEI 선호형 검사를 이용하여 선호하는 컴퓨터실 과학 학습 환경에 대한 학생들의 인식을 조사하여 실제 학습 환경에 대한 인식과 비교하였다. 컴퓨터실 과학 학습 환경에 대한 인식, 컴퓨터 관련 태도, 컴퓨터 경험의 측면에서 성별에 따른 차이를 조사하였다. 연구 결과, 성별 동등성 영역을 제외한 모든 영역에서 선호하는 컴퓨터실 과학 학습 환경에 대한 인식이 실제적인 인식보다 유의미하게 높았다. 실제 컴퓨터실 과학 학습 환경에 대한 인식에서는 성별에 따른 차이가 없었으나, 남학생들의 컴퓨터 관련태도가 보다 긍정적이었으며, 컴퓨터 경험도 남학생이 많은 것으로 조사되었다. 컴퓨터실 과학 학습 환경에 대한 인식은 자원의 적합성 영역에서 컴퓨터 관련 태도와 유의미한 상관이 있었으며, 컴퓨터 경험과는 관련성이 적었다. 컴퓨터 경험과 컴퓨터 관련 태도 사이의 상관 역시 유의미하였다.

• Educational Technology International
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• 제15권2호
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• pp.49-69
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• 2014

The purpose of this study was to investigate the effect of co-regulated learning on the improvement of self-regulated learning skills in collaborative learning environments. One group pretest-posttest design was used in this study. The subjects were 49 undergraduate students who enrolled in 'Educational Evaluation' course. To facilitate students' co-regulated learning activities, group worksheets were developed. Students performed collaborative tasks in group by using the group worksheets over the 6 weeks. The results showed that the difference between means of the pretest and posttest was no statistically significant. It indicates that co-regulated learning activities did not have a significant effect on the improvement of self-regulated learning skills in collaborative learning environments. However, the results of additional analysis revealed that the difference between means of the pretest and posttest in case of 19 students with low self-regulated learning level was statistically significant. On the other hand, there was no statistically significant difference between means of the pretest and posttest in case of 19 students with high self-regulated learning level. It is interpreted that co-regulated learning activities positively affected the improvement of self-regulated learning skills of students with low self-regulated learning level.

• 한국과학교육학회지
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• 제29권5호
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• pp.492-500
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• 2009

이 연구는 과학수업의 심리적 학습 환경에 대한 중학생과 교사들이 인식을 조사하여 비교하였다. 연구대상은 중학생 503명과 담당 과학교사 16명이었다. 연구자료는 '교사에 의해 조성되는 심리적 학습 환경 측정도구(PLEIS)'를 이용하여 수집하였다. 학생과 교사의 인식과 성별 인식 차이가 있는지 알아보기 위해 빈도분석과 독립표본 T-검증을, 특성에 따른 인식 차이를 알아보기 위해 일원분산분석(ANOVA)을 하였다. 중학생들의 과학 수업의 심리적 환경에 대한 인식은 성별, 과학성취도, 과학선호도, 자아효능감에 따라 통계적으로 유의미하였으나, 과학교사들의 인식은 통계적으로 유의미하지 않았다. 학생들과 과학교사들간의 인식 차이 또한 통계적으로 유의미하지 않는 것으로 조사되었다. 그러나 교사가 과학수업의 심리적 학습 환경에 대한 인식을 학생보다 상대적으로 높게 하고 있는 것으로 조사되었다.

• Educational Technology International
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• 제11권2호
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• pp.149-172
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• 2010

Knowledge can be more meaningful when it is shaped and personalized through interaction with others. Implementation of open learning environments such as open courseware or shared knowledge communities has gradually become more common. A case study which investigated instructors' experiences and perceptions of publishing and using open courseware in the classroom was conducted at a university in Korea. Responses from participating students and an evaluation group regarding how they perceived open learning environments were also examined. Based on the inductive analysis of the data, this study discusses advantages and challenges of publishing open courseware and collaborative learning environments. Also, practical guidelines for developing reusable learning materials are suggested.

• 컴퓨터교육학회논문지
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• 제14권2호
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• pp.33-45
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• 2011

최근 등장한 스마트 러닝에 대한 관심의 확산에 따라 본 논문에서는 스마트 러닝의 개념을 도구적 접근, 환경적 접근, 그리고 이론적 접근을 통해 살펴보았다. 스마트 러닝을 수업에 적용하기 위한 원리로서는 교육내용 측면에 있어서 풍부한 학습자원의 활용, 교육방법에 있어서 상호작용을 통한 참여적 환경, 그리고 교육경험에 있어서 실제적 맥락과 경험제공을 들 수 있다. 이들 개념 및 원리에 근거하여 제시된 스마트 러닝 교수학습모형 설계는 목표설정, 자원확인, 환경선정, 수업과정 설계, 수업도구 개발, 수업적용, 그리고 평가 및 분석의 단계로 접근될 수 있다. 이 같은 스마트 러닝 현황을 기반으로 향후 개별적 수업상황에 적합한 구체적인 개발전략의 지속적 연구가 요구된다.

• Educational Technology International
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• 제17권2호
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• pp.175-202
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• 2016

Most of the learning analytics research has investigated how quantitative data can affect learning. The information that is provided to learners has been determined by teachers and researchers based on reviews of the previous literature. However, there have been few studies on standard learning activities that are performed in e-learning environments independent of the teaching methods or on learning behavior data that are obtained through learning analytics. This study aims to explore the general learning activities and learning behaviors that can be used in the analysis of learning data. Learning activities and learning behavior are defined in conjunction with the concept of learning analytics to identify the differences between teachers' and learners' learning activities. Learning activities and learning behavior were verified by an expert panel review in an e-learning environment. The differences between instructors and learners in their usage were analyzed using a survey method. As results, 8 learning activities and 29 learning behaviors were validated. The Research has shown that instructors' degree of utilization is higher than that of the learners.