• International Journal of Fuzzy Logic and Intelligent Systems
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• 제5권4호
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• pp.281-285
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• 2005

Learning and evolving are two basics for data mining. As compared with classical learning theory based on objective function with minimizing training errors, the recently evolutionary computing has had an efficient approach for constructing optimal model without the minimizing training errors. The global search of evolutionary computing in solution space can settle the local optima problems of learning models. In this research, combining co-evolving algorithm into statistical learning theory, we propose an co-evolutionary computing for statistical learning theory for overcoming local optima problems of statistical learning theory. We apply proposed model to classification and prediction problems of the learning. In the experimental results, we verify the improved performance of our model using the data sets from UCI machine learning repository and KDD Cup 2000.

• 스마트미디어저널
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• 제13권4호
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• pp.104-113
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• 2024

This study is a model study on the contents and methods of intercultural learning. Starting with a discussion of the intercultural learning model construct, it presents key contents important for intercultural learning and learning methods that can increase the effectiveness of intercultural learning. Also, we actually conducted the above learning program at the learning site and discussed the observations and results. It was a case study that allowed us to test the effectiveness of cultural intelligence theory, the latest theory that can improve intercultural competency. In addition, in order for the cultural intelligence theory to be effective in the learning process, it was found that the PBL method, which allows learners to solve problems on their own, rather than cramming education, is useful. Additionally, it was found that the ARCS model was also very effective in motivating and maintaining learners' continuous motivation. At this time, the instructor was also able to see that the effect increases when the role of catalyst becomes the main one.

• 정보기술과데이타베이스저널
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• 제3권2호
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• pp.75-96
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• 1996

This study is intended to compare the effectiveness of the neural network inductive learning model with a vector space model in information retrieval. As a result, searches responding to incomplete queries in the neural network inductive learning model produced a higher precision and recall as compared with searches responding to complete queries in the vector space model. The results show that the hybrid methodology of integrating an inductive learning technique with the neural network model can help solve information retrieval problems that are the results of inconsistent indexing and incomplete queries--problems that have plagued information retrieval effectiveness.

• 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.

• Educational Technology International
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• 제11권1호
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• pp.27-46
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• 2010

The purpose of this paper is to apply the newly developed SICAT teaching and learning model to the actual scene of teaching and learning and draw a point of discussion for utilizing teaching and learning model, by uncovering the satisfaction of students and the inhibiting/facilitating elements when using the model. SICAT(Scientific Inquiry and Creative Activity with Technology; from here on SICAT), a teaching and learning model custom-built for engineering education, was developed, as more and more people paid attention to the demand for creative engineers. It was developed from the basis of PBL(Problem Based Learning), includes three sub-types which can be applied to the actual theory, design, and experimentation fields within engineering education. The three sub-types, which are ARDA(Analysis-Reasoning Activity & Discussion-Argumentation Activity), CoCD (Collaboration Activity & Capstone Design Activity), and ReSh(Reflection Activity & Sharing Activity), respectively support deductive and argumentation activities, creative design and collaboration activities, and retrospection and sharing activities. However, no research has been conducted to investigate whether or not there are inhibiting or facilitating elements in the application procedure, or what the rate of satisfaction for students is, when applying the SICAT model, which was newly developed to innovate existing engineering education, to the actual site of teaching and learning. Therefore, this research applied three types of SICAT teaching and learning models to the theory, design, and experimentation classes at the department of materials science and engineering at Hanyang University for eight weeks. After application, the students, teachers and tutors were surveyed and interviewed, and then the results analyzed in order to uncover inhibiting/facilitating elements and the rate of satisfaction. The satisfaction rate of students from the SICAT teaching and learning model was 3.78(in a perfect score of 5: The A type-3.65, The C type-3.80, The R type-3.90), and inhibiting/facilitating elements were drawn from the aspects of learning activities, support system. In conclusion, they can be contributed for implications of SICAT teaching and learning model universal use at engineering education in University.

• 한국항행학회논문지
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• 제13권5호
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• pp.781-786
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• 2009

클라우드 컴퓨팅 환경은 웹을 기반으로 한 응용분야의 새로운 트랜드이다. 이는 많은 사용자들이 쉽게 인터넷을 통해 자원을 할당받고 서비스를 지원받을 수 있는 IT 비즈니스 모델이라 할 수 있다. 또한 u-러닝은 인터넷 기반 학습의 효율성을 극대화한 모델이다. 따라서 본 연구는 이를 인터넷 기반 학습에 응용하는 u-러닝 교수 학습 모형의 설계를 제시하고자 한다. 제안된 교수 학습 모형은 u-러닝에 맞도록 준비, 계획, 수집, 학습 진행, 분석 및 평가, 피드백의 7단계로 구성하였다. 이는 클라우드 u-러닝 서버와 클라우드 LMS를 두어 처리 및 관리하도록 하였으며, 학습자의 이동형 기기 모델의 인식을 위하여 이동형 기기 메타데이터를 두도록 하였다.

• 정보교육학회논문지
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• 제21권4호
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• pp.393-401
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• 2017

본 연구의 목적은 학습자의 데이터 분석적 사고력 향상을 위한 딥러닝 기반 학습 시스템 개발 연구이다. 연구의 내용은 다음과 같다. 첫째, 데이터 분석적 사고력 향상을 위해 발견학습 모형에 딥러닝 기법을 적용하였다. 이는 데이터의 관계를 나타내주는 모델을 딥러닝 기법을 사용하여 생성하고, 새로운 데이터를 이 모델에 적용하여 데이터를 분석하는 과정을 경험할 수 있는 학습 방법이다. 둘째, 이 학습 방법에 따른 수업을 위한 딥러닝 기반 학습 시스템을 개발하였다. 딥러닝 기법을 사용하여 학습자가 입력한 데이터의 모델을 생성하고 적용할 수 있는 시스템을 개발하였다. 딥러닝을 적용한 발견학습 및 시스템 설계 연구는 데이터의 중요성이 더욱 커지는 미래 사회에서 학습자의 데이터 분석적 사고력을 향상시킬 수 있는 새로운 접근이 될 것으로 기대한다.

• 대한정형도수물리치료학회지
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• 제18권2호
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• pp.31-39
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• 2012

Background: The purpose of this study was to develop a problem-based learning model for orthopedic manual physical therapy. A problem-based learning (PBL) model for orthopedic manual physical therapy developed from PBL module of Jeju C university (Halla-Newcastle PBL Center). A summary of this study is as follows: 1) PBL model is comprised of a class of 30 students, operated small group as of 4~5 students. 2) PBL is suggested a scenario of clinical case, induced variety reaction through group discussion and presentation. 3) PBL is occurred wide variety learning through group work activity and self-directed learning. 4) The tutor as a facilitator is played a guide for group discussion, work activity and team learning. 5) The evaluation for PBL is performed such as student self-evaluation, group activity evaluation, individual presentation, and practice. This model is considered wide variety learning through team learning and self-directed learning by clinical reasoning and problem solving for musculoskeletal clinical case. We suggest problem based learning for the education of orthopedic manual physical therapy in which the learners are very interested in and has the effective outcome.

• 기독교교육논총
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• 제66권
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• pp.309-341
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• 2021

본 연구의 목적은 포스트 코로나 시대를 준비하기 위해 신앙교육을 위한 지능형 학습플랫폼 모형을 개발하는 것이다. 이를 위해서 인공지능 알고리즘, 학습플랫폼 개발 연구, 신앙교육 관련 선행연구를 검토하여 포스트 코로나 시대를 대비할 수 있는 지능형 학습플랫폼 설계 모형의 초안을 개발하였다. 개발된 모형 초안은 전문가 5명을 대상으로 델파이 조사를 실시하여, 타당성을 검증하였다. 개발된 모형 초안은 전문가 타당성 검증결과 내용타당도가 모두 1로 나타나 타당한 것으로 검증되었다. 모형에 대해 전문가들의 수정의견이 3가지가 제시되었고, 전문가들의 의견을 반영하여 모형을 최종 수정하였다. 수정된 최종 모형은 학습자료, 학습활동, 학습데이터 및 인공지능 3개 영역으로 구성하였으며, 각 영역에 교육과정, 학습콘텐츠 추가학습자원, 학습자 유형화, 학습 행동, 평가 행동, 학습자 특성 데이터, 학습활동 데이터, 인공지능 데이터 학습분석 9개의 요소로 구성하였고, 각 구성 요소에는 29개의 세부요소를 설정하였다. 이와 함께 14개의 학습플로어를 구성하였다. 본 연구는 신앙교육을 위한 지능형 학습플랫폼의 기초적인 모형을 최초로 개발한 것이 가장 큰 시사점이라고 할 수 있다.

• International Journal of Internet, Broadcasting and Communication
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• 제5권1호
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• pp.9-13
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• 2013

This paper presents the concepts of ubiquitous computing technology to construct a ubiquitous learning environment that enables learning to take place anywhere at any time. This ubiquitous learning environment is described as an environment that supports students' learning using digital media in geographically distributed environments. The u-learning model is a web-based e-learning system that could enable learners to acquire knowledge and skills through interaction between them and the ubiquitous learning environment. Students are allowed to be in an environment of their interest. The communication between devices and the embedded computers in the environment allows learner to learn while they are moving, hence, attaching them to their learning environment.