• Journal of Radiation Protection and Research
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• v.48 no.1
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• pp.20-27
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• 2023

Background: As the number of nuclear facilities nearing their pre-determined design life increases, demand is increasing for technology and infrastructure related to the decommissioning and decontamination (D&D) process. It is necessary to consider the nature of the dismantling environment constantly changing and the worker doing new tasks. A method was studied that can calculate the effect of learning and the change in work time on the work process, according to the learning-forgetting curve model (LFCM). Materials and Methods: The LFCM was analyzed, and input values and scenarios were analyzed for substitution into the D&D process of a nuclear facility. Results and Discussion: The effectiveness and efficiency of the training were analyzed. It was calculated that skilled workers can receive a 16.9% less collective radiation dose than workers with only basic training. Conclusion: Using these research methods and models, it was possible to calculate the change in the efficiency of workers performing new tasks in the D&D process and the corresponding reduction in the work time and collective dose.

• Journal of Korea Game Society
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• v.15 no.3
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• pp.151-160
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• 2015

This paper presents English vocabulary memorization system using forgetting curve to automatically adjust the vocabulary difficulty to match learner's level. Our system will decide the appropriate repetition cycle, depending on the number of memorizing words through the forgetting curve, then requires an iterative learning. No matter what learners know or do not know, words are reviewed. To save time by reviewing some words which have the highest probability that learners forget. And it provides vocabulary based on learner level, which makes learner maintain their interest and achievement. A general system provides vocabularies which difficulty matches with evaluated ones, or randomly provides some vocabularies without consideration of users' level. But we apply the "Glicko" system which is being used in the online chess game ranking system to adjust the vocabulary's difficulty. We utilize the system used in the one-by-one player system to our vocabulary-human system. As a result, learners's level and the vocabularies's difficulty is measured in the review process. Moreover it maximizes the performance of English vocabulary memorization by applying feedbacks from practice testing and distributed learning.

• Proceedings of the Korea Information Processing Society Conference
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• 2008.11a
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• pp.1152-1153
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• 2008

효율적인 학습 방법들을 도입한 교육용 시스템에 대한 연구가 활성화되어 있는 가운데, 사람의 뇌의 장기기억 메커니즘을 이용하여 교육용 시스템과 다양한 방향에서 적용하고 그 유효성을 밝히는 연구들이 많이 진행되고 있다. 학생들에게 학습에 용이한 교육 시스템을 적용함에 있어 시간과 장소에 상관없이 접근이 용이하도록 인터넷과 연계된 시스템의 유용성은 이미 입증된 바 있다. 본 연구에서는 웹기반 교육 시스템에서 장기기억이 용이하도록 학습 내용의 구성과 에빙하우스 망각 곡선에 기반한 효율적인 반복학습 시스템을 설계한다.

• Journal of the Korea Convergence Society
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• v.7 no.4
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• pp.133-140
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• 2016

This paper suggests designing how to acquire English vocabularies on the smart devices based on the research that a ground-breaking English Vocabulary Learning Contents needs developing. The method makes it possible to develop the contents which helps the learners to master English vocabularies effectively on the smart phone. The core idea of this paper is as in the following: 1) English learners learn 30 vocabularies for three minutes 10 times (one is for a new learning and the other nine ones are for reviews about the first learning) a day. 2) Considering Ebbinghaus Forgetting Curve, the reflection study proposes to provide the learners with three times' reviews: one day, 10days, and 30days later from which they learn the first 30 vocabularies. This contents is mainly made up of 5 developing sections (1)to generate App ID, (2)to access App, (3)to set up Alarm, (4)to process Word learning, and (5)to monitor the result of learning. This proposed idea is optimized to enhance the memory by Ebbinghaus Periodic Repetitive Method, which makes the learners satisfied with their English vocabulary learning.

• Proceedings of the Korea Information Processing Society Conference
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• 2009.04a
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• pp.1006-1008
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• 2009

온라인 교육 시스템에서 사용자는 효과적인 학습을 위해 향상된 교육 컨텐츠를 이용하고자 한다. 온라인 교육 시스템은 다양한 알고리즘을 프로그래밍하여 개별 사용자에게 적합한 구성이 가능하다. 이러한 온라인 교육 시스템은 미리 짜여진 프로그램에 의한 체계적인 반복 교육에 적합하다. 사용자의 효과적인 학습을 측정하는데 있어 학습한 내용이 장기기억 되는 방법의 적용은 무엇보다 중요하다. 본 논문에서는 학습한 내용의 기억 추이를 나타내는 에빙하우스 망각 곡선 이론을 기반으로 학습 시스템의 장기 기억 메커니즘을 구현하고자 한다. 본 논문에서 제안한 온라인 교육 시스템의 학습 내용은 학습자의 장기 기억된 정도를 측정함으로써 그 효용성을 나타낸다.

• Journal of Convergence for Information Technology
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• v.10 no.6
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• pp.87-95
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• 2020

Previously, there were no studies that were not aware of the importance of video, were interested in the educational value of Flipped Learning, and there were many wrong experiments because they did not understand Flipped Learning. Therefore, an accurate understanding of Flipped Learning is needed. This study proposed the caution of video learning of Flipped Learning and presented the papers and grounds to support to examine the educational value of Flipped Learning. A video of the lecture should be produced with a core content of 10 to 15 minutes, and found that the educational value of Flipped Learning lies in self-directed learning, cooperative learning, habruta, overcoming the oblivion curve and metacognition. It is hoped that this study will provide good guidance and direction of education for teachers who have difficulty Flipped Learning.