• Proceedings of the Korean Society of Computer Information Conference
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• 2019.01a
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• pp.439-440
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• 2019

본 연구에서는 프로그래밍 수업에 참여하는 학습자들을 대상으로 프로그래밍 학습의 예 복습과 교수자의 학습 지원 등에 대한 생각을 먼저 설문으로 조사하고 그 결과에 따라 교수자가 수업 내외에서 학습자들이 다양한 학습 활동들을 할 수 있도록 지원한다. 그리고 학기말에 학습자들을 대상으로 제공된 학습 방법들 중에 어떤 방법을 선호하는지를 설문조사하여 분석해보았다. 연구 결과를 통해 향후에는 학생들이 선호하는 학습 방법을 파악하고 제공함으로써 학생들의 학습 동기와 의욕을 향상시켜 보다 적극적인 학습 참여를 유도할 수 있을 것으로 기대한다.

• Journal of the Korea Society of Computer and Information
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• v.14 no.1
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• pp.1-8
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• 2009

Learning user's preference is a key issue in intelligent system such as personalized service. The study on user preference model has adapted simple user preference model, which determines a set of preferred keywords or topic, and weights to each target. In this paper, we recommend multi-perspective user preference model that factors sentiment information in the model. Based on the topicality and sentimental information processed using natural language processing techniques, it learns a user's preference. To handle timc-variant nature of user preference, user preference is calculated by session, short-term and long term. User evaluation is used to validate the effect of user preference teaming and it shows 86.52%, 86.28%, 87.22% of accuracy for topic interest, keyword interest, and keyword favorableness.

• (The) Korean Journal of Educational Psychology
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• v.32 no.3
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• pp.321-353
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• 2018

The purpose of this study was to investigate Korean undergraduate students' metacognitive awareness and preference of effective learning strategies. To achieve this goal, a scenario-based survey was conducted focusing on the metacognitive awareness, preference, and use of seven effective learning strategies (modality effect, static-media presentations, absence of extraneous details, testing, distributed learning, interleaved learning, generation) that were empirically supported. This study also aimed to explore the relationships between grade point average (GPA), metacognitive self-regulation, and the aforementioned variables to investigate which students know about, prefer, and use effective learning strategies. The majority of students were unknowledgeable about four of the seven strategies (modality effect, static-media presentations, absence of extraneous details, interleaved learning). Only half of the students were correctly aware of effectiveness of the two strategies (testing, generation). Moreover, students showed low preference for effective learning strategies. GPA did not show a significant correlation with metacognitive awareness and preference of effective learning strategies; however, it showed a significant positive correlation with the use of effective learning strategies. Only for a few learning strategies, metacognitive self-regulation showed a positive correlation with metacognitive awareness, preference, and/or their use. This study suggests that it is important to teach effective learning strategies to undergraduates with a specific direction of instruction. In addition, this study distinguishes metacognitive awareness from preference, suggesting that these two may reflect different constructs.

• The Journal of the Korea Contents Association
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• v.10 no.1
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• pp.477-485
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• 2010

Web based learning systems are operating with various and lots of learning contents. But it is hard to construct learning contents to fit learners when they select learning contents for learning. In this paper, we proposed the recommendation method that can support the learning contents as calculate learner's preference using the learning history information of learner's profile when learner design and compose learning course. In the applying result of this method, we've selected testing learner group and was able to know it can help to learner processing learning by themselves as we've got great learning satisfaction after test.

• Journal of Advanced Navigation Technology
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• v.13 no.2
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• pp.296-301
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• 2009

In the self-directed learning, learner can construct learning course. But it is very difficult for learner to construct learning course with understanding the various learning contents's characteristics. This research proposed the method to support to learner the information of learning contents type to fit the learner as calculate the learner's learning preference when learner construct the learning course. The calculating method of learning preference used preference vector value of topic map. To apply this method, we tested 20 learning sampling group and presented that this method help to learner to construct learning course as getting the high average degree of learning satisfaction.

• Proceedings of the Korea Contents Association Conference
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• 2015.05a
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• pp.309-310
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• 2015

본 연구는 모바일 러닝에 기반하여 의학용어를 익히는 영어교육 콘텐츠에 대한 전문대학생들의 학습 선호와 학습 성과를 분석하고자 한다. 그리하여 향후 본 프로그램의 개선과 다른 교과들의 모바일 학습 콘텐츠 설계 개발에 시사점을 제공하고자 한다. 모바일 러닝은 e-러닝의 한 형태로써 모바일 기기를 활용한 학습으로 장소와 시간에 제약받지 않고 학습이 기능하다. 그래서 쉽고 편리하면서 감각적인 것을 좋아하는 요즘 대학생들의 필요에 부합하는 새로운 차세대 학습법으로 부각되고 있다.

• Journal of Gifted/Talented Education
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• v.20 no.2
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• pp.571-594
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• 2010

Learning styles affect how students access and handle their task, so it is very important to understand how they study, when planning teaching-learning process, to enhance their potential to the maximum. In addition, in order to improve the quality of gifted education, there is a need to examine the curriculum and teaching-learning process which reflect learner characteristics. In this study, gifted student's preferred learning styles are investigated using questionnaires and learning style inventory. Also by analyzing the characteristics of the learners, it is hoped to get parents and teachers to understand the gifted who have various talents, and to support teaching programs for the gifted in order to develop their potential. This study shows that there are differences in the studying style between the gifted child and the average child. Namely, learner's physical and psychological environment can affect learning styles. Also there is a difference between the studying style which the gifted students prefer and the teaching style which teachers use most frequently. Programs for the gifted should be planned through better understanding of the characteristics of the learners.

• Journal of The Korean Association For Science Education
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• v.32 no.2
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• pp.306-319
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• 2012

The purpose of this study was to investigate high school students' learning style, perception of types of laboratory instruction, and the relationship between the learning style and preferred type of laboratory instruction. The participants of this study were 19 female high school students, from Incheon in Korea, who showed outstanding science grades. Dunn et al's revised Learning Styles Inventory (1997) was used for testing students' learning style. The students were asked to choose preferred and not preferred types of experiments and describe the reason of the choices after implementation of 4 types of experiments: verification, discovery, explorator, and investigation laboratory instructions. The findings of this study were as follows: Firstly, the students had a certain common learning style irrelevant to their personal characteristics, i. e; they showed high (self, teacher, parents) motivation and structure stimuli that was common in Korean students. Second, outstanding students prefer unstructured and open laboratory instructions. And those students were highly influenced by sociological and emotional stimuli. Third, students' learning style was related to their preferred type of laboratory instruction. Students preferring unstructured and open laboratory were influenced by sociological and emotional stimuli, while those preferring structured and closed laboratory were influenced by physiological stimuli.

• Annual Conference on Human and Language Technology
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• 2009.10a
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• pp.247-250
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• 2009

본 실험에서는 단어회상이 영어어휘 학습에 미치는 영향을 살펴보기 위해 160개 단어 쌍에 대해 어휘학습을 실시하였다. 세 종류의 어휘 학습 방법(교대학습, 반복검사, 반복학습)을 채택하여 학습을 실시하였으며 학습 1주일 후 160개 단어 쌍에 대해 지연회상검사를 실행하였다. 그 결과 세 종류의 어휘 학습 방법 중 단어회상을 강조한 두 개의 어휘 학습 방법에서 그렇지 않은 조건에 비해 유의미하게 좋은 지연회상률을 보였다. 또한 실험 참가자를 대상으로 선호하는 학습 방법에 대해 설문조사를 실시한 결과 63.5%의 설문 응답자가 한 번 학습한 것에 대해 스스로 시행하는 회상 검사를 선호하였다. 그러나 자가검증을 통한 회상 검사 자체가 효과적인 학습 방법이라고는 생각하지 않는 것으로 나타났다.

• Proceedings of the Korean Information Science Society Conference
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• 2004.10a
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• pp.229-231
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• 2004

추천 시스템은 양질의 정보를 추천하기 위해서 사용자의 관심도를 반영해야 한다. 이를 위해 본 연구에서는 강화학습과 관련 정보, 비관련 정보를 모두 이용하는 피드백 방법을 결합하였다. 사용자의 문서에 대한 평가를 평가 값으로 사용하여 사용자가 선호하는 용어와 선호하지 않는 용어를 추출하고, 이를 이용해 사용자 프로파일을 강화학습으로 학습하게 된다. 제안된 방법으로 신문기사 추천시스템에 적용하여 실험한 결과, 관련 정보와 비관련 정보를 함께 사용한 방범이 기존의 관련 정보안물 사용한 방법보다 더 나은 성능을 보였다.