• The KIPS Transactions:PartA
• /
• v.12A no.6 s.96
• /
• pp.547-556
• /
• 2005

Online collaborative teaming, which has emerged as a new type of education in knowledge-based society, is being discussed actively in the areas of action learning at companies and project-based learning and inquiry-based learning at schools. It regards as an effective method for improving learners practical and highly advanced problem solving abilities, and for stimulating their absorption into learning through pursuing common goals of learning together. Different from individual learning, however, collaborative learning involves complicated processes such as organizing teams, setting common goals, performing tasks and evaluating the outcome of team activities .Thus, it is difficult for a teacher to promote and evaluate the whole process of collaborative learning, and it is necessary to develop systems to support collaborative learning. Therefore, in order to monitor and promote interaction among learners in the process of collaborative learning, the present study developed an extensible collaborative teaming supporting agent (ECOLA) in online learning environments.

• 한국IT서비스학회:학술대회논문집
• /
• 2007.11a
• /
• pp.351-356
• /
• 2007

현재의 사실상 국제 이러닝 표준으로 자리 잡은 SCORM 2004 기술규격은 '단일 사용자 콘텐츠 학습' 환경의 '웹 기반 자기 주도적 학습'에 근거하고 있다. 즉, 학습자 그룹을 포함한 협력적인 학습과정 설계가 가능하도록 하는 규격 부분이 부재한 상태이다. 이에 SCORM 규격을 기반으로 하여 협력학습 콘텐츠를 개발하는 연구가 활발히 진행되어 왔으나, 협력학습 콘텐츠를 탑재하는 플랫폼 즉, 협력학습을 지원하기 위한 학습관리 시스템의 표준화에 대한 연구는 거의 이루어지지 않은 실정이다. 따라서, 본 논문에서는 이러닝 협력학습의 표준화를 주도하고 있는 국제 이러닝 표준기구인 ISO/IEC JTC1 SC36의 연구 자료를 토대로 협력학습을 지원 가능한 방안을 제안하여 SCORM 2004 규격의 실행환경에 협력학습과 관련된 데이터모델을 추가하여 협력학습지원 시스템을 설계하고 구현하고자 한다.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.17 no.4
• /
• pp.243-254
• /
• 2016

The purpose of this study was to examine the effects of collaborative learning and explore the learners' experiences in three dimensions: cognition, emotion and motivation. Another purpose of this study was to make an in-depth examination of learners' experiences during collaborative learning. Data were collected from 44 students at N university who participated in collaborative learning for 7 weeks. The results were as follows: First, collaborative learning had significant effects on the higher group of collaborative tendencies on academic achievements. Second, collaborative learning had no significant effects on their epistemological beliefs, the higher group of collaborative tendencies and the lower beliefs involving simple knowledge and tentative knowing. Finally, learners amassed cognitive, emotional, and motivational experience during collaborative learning. We suggest that the for the effective implementation of collaborative learning.

• Journal of the Korean Society for Library and Information Science
• /
• v.51 no.2
• /
• pp.95-116
• /
• 2017

This study investigated whether applying the Project-Based Learning in LIS education affects students' self-efficacy for group work in a positive direction and if the authenticity of the project has any relationship with their self-efficacy for group work. 26 students were surveyed before and after they took the "Evaluating Digital Library Systems" course with the same set of questions asking about their perceptions on the individuals' capabilities to successfully perform group tasks and their perceptions about the project's authenticity. The paired sample t-test showed statistically significant differences between the results of the pre- and post-test, in terms of their capabilities as a leader as well as exchanging, evaluating, and integrating ideas when performing group activities. In addition, the authenticity of the project's task shows some correlation with subfactors of students' self-efficacy for group work.

• Journal of Intelligence and Information Systems
• /
• v.6 no.1
• /
• pp.83-96
• /
• 2000

본연구는 웹 상에서 원격 협력 학습을 위한 수준별 협력 학습자 진단 및 스케줄링 에이전트의 설계와 구현에 관한 연구이다. 원격 협력 학습은 동일한 학습내용에 흥미를 갖는 아동이 동시에 학습할 수 있는 환경이 필요하며 학습자의 지식 또한 비슷한 수준이어야 효과적인 협력학습을 할 수 있다. 분산 환경의 이질적인 학습자를 모으기 위해서는 좀 더 자율적이고 지능적인 시스템이 필요하며 학습자에 대한 지식을 표현하는 학습자 모델이 요구된다. 이를 위해 에이전트 시스템이 적절하게 사용될수 있으며 학습자의 수준을 판단하기 위한 진단 에이전트와 협력학습이 가능한 여러명의 학습자들을 알맞은 시간과 서버에 연결하는 스케줄링 에이전트를 웹 기반 지능형 교수 시스템에 접목하였다. 학습자 수준을 진단하는 진단 에이전트는 확신도를 높이기 위해 3-모수 로지스틱 확신공식과 시간 가중치 확신인자 공식을 적용하여 신뢰도를 높였다 또한 협력학습의 스케줄링을 위해 다양한 제약조건들의 최적해를 구하기 위해 제약 만족 문제(CSP)로 스케줄링 에이전트를 모델링하였다 본 연구에서 설계 구현한 협력학습자 진단 및 스케줄링 에이전트의 효율성을 살펴보기 위해 여러명의 학습자를 대상으로 실험하였다. 실험을 통해 각 학습자의 지식 수준 진단과 다수의 학습자가 적절한 협력학습을 하기 위한 스케줄링이 매우 효율적으로 이루어짐을 볼 수 있었다.

• The Journal of Korean Association of Computer Education
• /
• v.5 no.3
• /
• pp.89-106
• /
• 2002

One of the key success factors for Computer Supported Collaborative Learning(CSCL) environments relies on collaborative reflection. Reflection refers to the active, intellectual thinking for monitoring one's own learning process and continuous internal activities of exploring oneself for new learning experiences. Also, reflective activities are closely related not only with the individual aspect of internal exploration but also with the social aspect of learner-learner interaction. This paper suggests four essential macro-level design strategies such as (1)facilitating collaborative awareness, (2)making thinking visualization, (3)negotiation-mediated knowledge construction, (4)providing metacognitive awareness cues or Questions for scaffolding collaborative reflection in the CSCL environments and made some implications for key functional features for the design and development of system components for CSCL.

• Journal of Digital Convergence
• /
• v.10 no.6
• /
• pp.189-196
• /
• 2012

In this paper, we propose a Scorm-based Sequencing & Navigation Model for Collaborative Learning. It is an e-Learning process control model that is used to efficiently and graphically defining Scorm's content aggregation model and its sequencing prerequistites through a formal approach. To define a process based model uses the expanded ICN(Information Control Net) model. which is called SCOSNCN(SCO Sequencing & Navigation Control Net). We strongly believe that the process-driven model delivers a way of much more convenient content aggregating work and system, in terms of not only defining the intended sequence and ordering of learning activities, but also building the runtime environment for sequencing and navigation of learning activities and experiences.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2013.07a
• /
• pp.203-206
• /
• 2013

본 논문에서는 컴퓨팅 집약적인 현대와 미래 사회를 대비하기 위한 컴퓨터 교육의 목표를 계산적 사고 및 이를 바탕으로 한 협력적 문제 해결 능력의 향상으로 보고 이를 실현하기 위한 컴퓨터 교육의 전망과 과제를 제시하였다. 계산적 사고 향상을 위한 컴퓨터 교육은 컴퓨터과학을 전공하는 학습자 뿐 아니라 모든 학습자를 대상으로 이루어져야 하며 이를 위해 초 중등학교 컴퓨터 교육과정의 체계적인 개선 및 계산적 사고를 바탕으로 한 간학문적 융합 학습 활동의 설계 및 평가 전략의 개발이 요구된다. 또한 여학생, 특수교육대상 학생과 같은 정보 소외 계층 학습자들의 컴퓨터과학에 대한 관심과 참여를 조장하고 협력적 문제 해결 활동을 지원하기 위한 학습 환경을 제시하여야 한다. 따라서 이러한 과제를 해결하기 위한 새로운 접근으로 예술과 컴퓨터과학의 융합 교육 활동인 E-Textiles 프로젝트의 특성과 연구 동향, 국내 적용 방안을 제시하였다.

• Journal of Convergence for Information Technology
• /
• v.11 no.1
• /
• pp.167-174
• /
• 2021

The purpose of this study is to examine the effect of computational thinking course on learning flow and collaborative self-efficacy of university students and to explore the effectiveness of computational thinking course as liberal arts education. For this study, 177 freshmen at a university in Chungnam Province were surveyed learning flow and collaborative self-efficiency. The collected data were analyzed with Stata IC 14 for ��2 test and t-test. The results of this study are as follows. First, the learning flow of students who took computational thinking course were significantly higher(t=3.837 p<.001) compared to those who did not. Second, the collective self-efficiency of students who took computational thinking course were significantly higher(t=2.277 p<.01) compared to those who did not. Therefore the results show that computational course has positive effects on learning flow and collaborative self-efficiency of university students. Based on these findings, discussions and implications were presented on the importance and effectiveness of computational thinking course.

• The KIPS Transactions:PartB
• /
• v.19B no.1
• /
• pp.31-36
• /
• 2012

In recent years, there has been increasing interest in recommender systems which provide users with personalized suggestions for products or services. In particular, researches of collaborative filtering analyzing relations between users and items has become more active because of the Netflix Prize competition. This paper presents the reinforcement learning approach for collaborative filtering. By applying reinforcement learning techniques to the movie rating, we discovered the connection between a time sequence of past ratings and current ratings. For this, we first formulated the collaborative filtering problem as a Markov Decision Process. And then we trained the learning model which reflects the connection between the time sequence of past ratings and current ratings using Q-learning. The experimental results indicate that there is a significant effect on current ratings by the time sequence of past ratings.