• 산경연구논집
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• 제10권2호
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• pp.25-37
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• 2019

Purpose - The goal of this study is to analyze the differences in education performances between students of the government's financial support program and those who do not receive support at a local university in Korea. Research design, data, and methodology - The questionnaire used was NASEL. NASEL is considered a highly suitable survey tool for professors, courses, and performances in Korean universities. The 290 students who participated and 44 students do not participate in the financial support program were surveyed for 10 days. The characteristics of students were investigated by frequency analysis and technical statistics. The analysis of student collective characteristics used independent t and f-tests,and one-way ANOVA with IBM SPSS Statistics 22.0 for statistical purposes. Results - The p-value of the group receiving financial support and the group without financial support in active-collaborative learning is 0.167. The p-value of the economically supported group and the non-supported group of the faculty-student interaction is 0.281. The confidence coefficient of the active-collaborative learning questionnaire is 0.861. The reliability coefficient of the questionnaire for the faculty-student interaction questionnaire is 0.871. Conclusions - There are no clear differences in active-collaborative learning and faculty-student interaction between participating and non-participating students in the economic program.

• 대한상한금궤의학회지
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• 제6권1호
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• pp.27-36
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• 2014

Objective : This Study aims to survey the current situation of the 'Future Leaders of Korean Medicine' curriculum and thereby improve the quality of the curriculum. Methods : 10 students in the curriculum answered 3 items of the NSSE questionnaires; 'Active and Collaborative Learning', 'Student-Faculty Interaction', 'Satisfaction'. Results : 'Worked with other students on projects', 'Tutored or taught other students (paid or voluntary)' average frequencies are relatively low in the 'Active and Collaborative Learning' item. 'Worked with faculty members on activities other than course-work' average frequency is relatively low in the 'Student-Faculty Interaction' item. Conclusions : The curriculum should be improved to encourage the students to take the leading roles at Collaborative Learning and to interact with the advisors.

• 융합보안논문지
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• 제6권3호
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• pp.127-133
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• 2006

지식 정보화 시대의 새로운 교육 패러다임의 변화에 따라 웹을 활용한 학습자 중심의 교육에 대한 연구가 활발해지고, 웹상에서의 정보 공유와 활발한 상호작용을 이루는 웹 기반 협동학습을 통하여 학습자의 능동적인 학습 참여와 학업성취도 향상에 관한 관심이 증가하고 있다. 학습자가 잘 적응하기 위해서는 협동학습만을 강조하기보다는 협동 학습과 경쟁 학습의 조화로운 활용으로 동기 유발과 학습 흥미가 있어야 한다. 본 연구에서는 공동의 목표 달성을 위해 긍정적 상호작용을 하여 학습효과를 높이고 팀 경쟁을 통해 학습동기를 촉진함으로써 학습자들이 문제저작을 통한 협동학습과정에서 주도적이고 능동적인 학습이 이루어지며 협동학습을 위해 다양하게 활용하고자 한다.

• 한국콘텐츠학회:학술대회논문집
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• 한국콘텐츠학회 2004년도 추계 종합학술대회 논문집
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• pp.11-16
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• 2004

지식 정보화 시대의 새로운 교육 형태와 패러다임으로 시간과 장소에 구애받지 않고 학습할 수 있으며 학습자 중심 교육을 제공하는 e-러닝에 대한 관심이 고조되고 있다. 그러나 기대에 비해서는 현재까지 e-러닝에 대한 폭발적인 수요와 성장은 발생하지 않고 있는데, 현재 대부분의 e-러닝 교육 형태가 기존의 일방적인 주입식 교육 형태를 단순히 디지털화 하여 학습 콘텐츠의 반복 학습을 제공하는데 그쳐 학습자들의 적극적인 참여와 관심을 이끌어 내는데 실패하였기 때문이다. e-러닝 환경에서 학습자들의 자발적인 참여를 이끌어내고 학습의 몰입도를 높이기 위해 학습 과제를 여러 명의 학생들이 상호 의존하여 공동으로 해결함으로써 학습 목표를 달성하는 형태의 협력학습에 대한 연구가 활발히 진행되고 있다. 본 논문에서는 학습자들 간의 상호작용 을 높이면서 학습행위를 촉진시키기 위한 협력 e-러닝 환경 구축 및 협력학습촉진 에이전트 적용 방안을 제시한다.

• 한국간호교육학회지
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• 제20권4호
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• pp.577-586
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• 2014

Purpose: This study investigates patterns of small group interaction and examines the influence among graduate nursing students of online collaborative learning strategies on small group interaction patterns, task performance and learning attitude in web-based team learning environments. Method: To analyze patterns of small group interaction, group discussion dialogues were reviewed by two instructors. Groups were divided into two categories depending on the type of feedback given (passive or active). For task performance, evaluation of learning processes and numbers of postings were examined. Learning attitude toward group study and coursework were measured via scales. Results: Explorative interactions were still low among graduate nursing students. Among the students given active feedback, considerable individual variability in interaction frequency was revealed and some students did not show any specific type of interaction pattern. Whether given active or passive feedback, groups exhibited no significant differences in terms of task performance and learning attitude. Also, frequent group interaction was significantly related to greater task performance. Conclusion: Active feedback strategies should be modified to improve task performance and learning attitude among graduate nursing students.

• International Journal of Contents
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• 제12권4호
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• pp.62-68
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• 2016

This paper describes an attempt to integrate flip teaching into a language classroom by adopting wikispaces as an online learning platform. The purpose of this study is to examine student perceptions of the effectiveness of using video lectures and wikispaces to foster active participation and collaborative learning. Flipped learning was implemented in an English writing class over one semester. Participants were 27 low intermediate level Korean university students. Data collection methods included background questionnaires at the beginning of the semester, learning experience questionnaires at the end of the semester, and semi-structured interviews with 6 focal participants. Because of the significance of video lectures in flip teaching, oCam was used for making weekly online lectures as a way of pre-class activities. Every week, online lectures were posted on the school LMS system (moodle). Every week, participants met in a computer room to perform in-class activities. Both in-class activities and post-class activities were managed by wikispaces. The results indicate that the flipped classroom facilitated student learning in the writing class. More than 53% of the respondents felt that it was useful to develop writing skills in a flipped classroom. Particularly, students felt that the video lectures prior to the class helped them improve their grammar skills. However, with respect to their satisfaction with collaborative works, about 44% of the participants responded positively. Similarly, 44% of the participants felt that in-class group work helped them interact with the other group members. Considering these results, this paper concludes with pedagogical suggestions and implications for further research.

• 디지털융복합연구
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• 제16권10호
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• pp.1-9
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• 2018

본 연구의 목적은 첨단 ICT의 활용도를 높이고 국가 간 교육 교류협력 활성화에 기여하는 온라인 국제교류 협력학습의 개념과 유형에 대해서 살펴보고, 유형별 수업 설계모형을 제시하는 데 있다. 이를 위해 온라인 국제교류 협력학습 관련 시범사업 및 선행연구를 고찰하였다. 그 결과, 온라인 국제교류 협력학습은 첨단 ICT를 기반으로 언어적, 문화적으로 이질적인 학생, 교사, 현장전문가가 상호작용하고 협력함으로써 지식을 탐구하고 구성해가는 구성주의 기반의 교육방법임을 확인하였다. 유형으로는 원격 화상 수업 중심의 실시간 교류학습과 웹사이트 기반 과제 중심의 비실시간 교류학습이 있었고, 이러한 유형별 특징을 고려한 PPIE(Plan-Preparation-Interaction-Evaluation) 수업 설계모형을 제시하였다. 본 연구의 결과가 온라인 국제교류 협력학습 활성화에 기여할 것으로 기대한다.

• Educational Technology International
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• 제10권1호
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• pp.137-155
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• 2009

The purpose of this research is to develop Blended-TBL(Team Based Learning) model that emphasizes the active participation and teamwork of students in on-off blended learning environment, and apply it into the college course and explore whether self-regulated learning between one group pretest and posttest is different. For this, this research investigated the concept and the characteristics of Team Based Learning, and developed the Blended-TBL Model to apply it into the college course, and finally prove effects of Blended-TBL model on self-regulated learning using Motivated Strategies for Learning Questionnaire (MSLQ). The participants in this study were 57 college students. They participated in on-off blended-TBL course for 15weeks. Participants followed the content grounded and the problem solving steps in collaborative team-based learning. This research practiced a quantitative research to find out the statistical difference of the self-regulated learning between pretest and posttest using SPSS. The result revealed that Blended-TBL students improved self-regulated learning including motivation, cognitive, metacognitive, and resource management. Based on this result, this research discussed the effects of Blended-TBL on Self-Regulated Learning and suggested the further study.

• 정보처리학회논문지B
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• 제19B권1호
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• pp.31-36
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• 2012

최근 사용자의 흥미에 맞는 아이템이나 서비스를 추천해 주는 추천 시스템에 대한 관심이 높아지고 있다. 최근 종료된 Netflix 경연대회(Netflix Prize)가 이 분야에 대한 연구자들의 연구 의욕을 고취시켰고, 특히 협력적 여과(Collaborative Filtering) 방법은 아이템의 종류에 상관없이 적용 가능한 범용성 때문에 활발히 연구되고 있다. 본 논문은 강화 학습을 이용해서 추천 시스템의 협력적 여과 문제를 푸는 방법을 제안한다. 강화 학습을 통해, 영화 평점 데이터에서 각 사용자가 평점을 매긴 순서에 따른 평점 간의 연관 관계를 학습하고자 하였다. 이를 위해 협력적 여과문제를 마르코프 결정 과정(Markov Decision Process)로 수학적으로 모델링하였고, 강화 학습의 가장 대표적인 알고리즘인 Q-learning을 사용해서 평가의 순서의 연관 관계를 학습하였다. 그리고 실제로 평가의 순서가 평가에 미치는 영향이 있음을 실험을 통해서 검증하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권12호
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• pp.4776-4794
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• 2020

We propose a rapid adaptive learning framework for streaming object detection, called EER-ASSL. The method combines the expected error reduction (EER) dependent rollback learning and the active semi-supervised learning (ASSL) for a rapid adaptive CNN detector. Most CNN object detectors are built on the assumption of static data distribution. However, images are often noisy and biased, and the data distribution is imbalanced in a real world environment. The proposed method consists of collaborative sampling and EER-ASSL. The EER-ASSL utilizes the active learning (AL) and rollback based semi-supervised learning (SSL). The AL allows us to select more informative and representative samples measuring uncertainty and diversity. The SSL divides the selected streaming image samples into the bins and each bin repeatedly transfers the discriminative knowledge of the EER and CNN models to the next bin until convergence and incorporation with the EER rollback learning algorithm is achieved. The EER models provide a rapid short-term myopic adaptation and the CNN models an incremental long-term performance improvement. EER-ASSL can overcome noisy and biased labels in varying data distribution. Extensive experiments shows that EER-ASSL obtained 70.9 mAP compared to state-of-the-art technology such as Faster RCNN, SSD300, and YOLOv2.