• Title/Summary/Keyword: learning center

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Research of Adaptive Transformation Method Based on Webpage Semantic Features for Small-Screen Terminals

  • Li, Hao;Liu, Qingtang;Hu, Min;Zhu, Xiaoliang
    • ETRI Journal
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    • 제35권5호
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    • pp.900-910
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    • 2013
  • Small-screen mobile terminals have difficulty accessing existing Web resources designed for large-screen devices. This paper presents an adaptive transformation method based on webpage semantic features to solve this problem. According to the text density and link density features of the webpages, the webpages are divided into two types: index and content. Our method uses an index-based webpage transformation algorithm and a content-based webpage transformation algorithm. Experiment results demonstrate that our adaptive transformation method is not dependent on specific software and webpage templates, and it is capable of enhancing Web content adaptation on small-screen terminals.

A Survey of Multimodal Systems and Techniques for Motor Learning

  • Tadayon, Ramin;McDaniel, Troy;Panchanathan, Sethuraman
    • Journal of Information Processing Systems
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    • 제13권1호
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    • pp.8-25
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    • 2017
  • This survey paper explores the application of multimodal feedback in automated systems for motor learning. In this paper, we review the findings shown in recent studies in this field using rehabilitation and various motor training scenarios as context. We discuss popular feedback delivery and sensing mechanisms for motion capture and processing in terms of requirements, benefits, and limitations. The selection of modalities is presented via our having reviewed the best-practice approaches for each modality relative to motor task complexity with example implementations in recent work. We summarize the advantages and disadvantages of several approaches for integrating modalities in terms of fusion and frequency of feedback during motor tasks. Finally, we review the limitations of perceptual bandwidth and provide an evaluation of the information transfer for each modality.

기본의학교육과정의 학습성과와 의사 국가시험 평가목표의 일치도 분석 (Evaluation of Concordance between Learning Outcomes of Basic Medical Education Courses and Assessment Items of the Medical Licensing Examination)

  • 김나진;박인애;김은주;백승애;권난이;이혜인;김수영
    • 의학교육논단
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    • 제17권1호
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    • pp.33-38
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    • 2015
  • During the education reform in 2009, the Catholic University of Korea College of Medicine (CUMC) adopted body systems as the basis for structuring basic medical education. After running the new program for 5 years, we need to evaluate the program by comparing it with nationwide standards. This study was designed to evaluate the coverage of our basic medical education program by comparing it with the assessment items of the medical licensing examination for physicians in the Republic of Korea. We built a relational database populated with 3,017 learning outcomes from all the courses on basic medical education. We tagged each learning outcome according to 2 criteria: 206 physician encounters and 9 outcome domains. A majority of the learning outcomes were in the domains of 'knowledge' and 'critical thinking'. In addition, we repeated the categorization process with 584 assessment items of the medical licensing examination in the Republic of Korea and compared them with the categorization results of the learning outcomes. Among the 206 physician encounters, we found that outcomes on family violence and sexual violence were missing in the learning outcomes of CUMC. Eighty-two physician encounters were associated with more than one outcome domain, and 96 physician encounters were covered in more than one course. Twenty-one physician encounters were repeated in 5 or more courses and 34 physician encounters had outcomes categorized into 3 or more domains. Thus, we showed that the 2-way categorization could be applied to the comparison and evaluation of two different education formats.

기업 내 e-learning 학습 환경에서 학습양식, 튜터기능, 학습성취도의 상관관계 (Interrelation among Learning Style, Tutoring Function, and Learning Achievement in an Enterprise e-learning Environment)

  • 유규식;최인준;한성년
    • 산업공학
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    • 제19권4호
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    • pp.324-332
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    • 2006
  • It is believed that each learner has a preferred method to acquire and manage knowledge according to her/his learning style which influences learning achievement directly. The purpose of this paper is to statistically analyze relationships among individual learning styles, tutoring functions, and learning achievement in an e-learning environment. 524 survey results from participants of enterprise e-learning classes are classified into total group and superior group. T-Test and ANOVA analyses are carried between learning style and learning achievement and between learning style and preferred tutoring functions. The analysis results show that individual learning styles do not contribute to learning achievement while they are strongly related to preferences for some of tutoring functions. These results can be used to identify limitation of current e-learning practice and design better e-learning systems, especially, supporting appropriate tutoring functions for different types of learners.

공학교육에서의 팀 학습 운영 실태 분석 (Analysis of Current Status of Team Learning in Engineering Education)

  • 한지영;박수연;방재현
    • 공학교육연구
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    • 제20권4호
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    • pp.28-37
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    • 2017
  • The purpose of this study was to analyze the current status of team learning in engineering education. For this, literature review and survey were used. The survey was conducted with 16 professors and 627 students in engineering college. Based on the results, team should be organized in consideration of various characteristics and competencies for effective team learning activities in engineering education. And in the team learning operations, it is necessary to make the conditions for students to immerse in team learning through the activation of communication of team members, tightening management of free riding in team learning, and optimizing team learning period. It is necessary to use the team learning evaluation method in harmony with the team, individual and peer evaluation.

신입간호사를 위한 투약 간호 e-Learning 프로그램 개발 (Development of an e-Learning Program about Medication for New Nurses)

  • 성영희;권인각;황지원;김지영
    • 대한간호학회지
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    • 제35권6호
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    • pp.1113-1124
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    • 2005
  • Purpose: The purpose of this study was to develop an e-Learning program about medication for nurses to enhance nurses' medication performance ability and to analyze learners' responses after studying with this program. Method: For the development of the e-Learning program, the NBISD(Network Based Instructional Systems Design) model, suggested by Jung(I999) was applied as a basic model and the instruction design theory of Gagne & Briggs(1979) and ARCS theory of Keller(I983) were applied. After the operation of this program for one month to 34 new nurses, learners' responses were analyzed. Result: Learners' knowledge of medication was greatly improved after this program. In addition learners' satisfaction with the overall education program, help in field applicability, ease of screen shift and exploration, and tutor activities were high and the contents were regarded suitable for e-Learning. Many things were advantageous such as easy accessibility, easy understandability with pictures and flash animation, practical cases and feedback from a tutor. Provision of a supplementary handout and improvement of a tight time schedule were pointed out as things to be improved. Conclusion: This e-Learning program can be used effectively for medication education for registered nurses, student nurses, and new nurses.

딥러닝을 활용한 단안 카메라 기반 실시간 물체 검출 및 거리 추정 (Monocular Camera based Real-Time Object Detection and Distance Estimation Using Deep Learning)

  • 김현우;박상현
    • 로봇학회논문지
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    • 제14권4호
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    • pp.357-362
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    • 2019
  • This paper proposes a model and train method that can real-time detect objects and distances estimation based on a monocular camera by applying deep learning. It used YOLOv2 model which is applied to autonomous or robot due to the fast image processing speed. We have changed and learned the loss function so that the YOLOv2 model can detect objects and distances at the same time. The YOLOv2 loss function added a term for learning bounding box values x, y, w, h, and distance values z as 클래스ification losses. In addition, the learning was carried out by multiplying the distance term with parameters for the balance of learning. we trained the model location, recognition by camera and distance data measured by lidar so that we enable the model to estimate distance and objects from a monocular camera, even when the vehicle is going up or down hill. To evaluate the performance of object detection and distance estimation, MAP (Mean Average Precision) and Adjust R square were used and performance was compared with previous research papers. In addition, we compared the original YOLOv2 model FPS (Frame Per Second) for speed measurement with FPS of our model.

COVID-19 발생 전후 공과대학 학생의 일과시간 활용 실태연구 (A Study on the Utilization of Daily-routines of Engineering Students Before and After COVID-19 Occurrence)

  • 송명현;하태인
    • 공학교육연구
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    • 제24권2호
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    • pp.3-11
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    • 2021
  • In the COVID-19 era, it was implemented to be used as a basic material for setting the direction of learning support and student guidance for university institutions and professors who are experiencing confusion. The purpose of this study is to compare the actual status of daily-routines of COVID-19 period, general semester period, and vacation period, and to examine whether there is a difference between the period of general semester and COVID-19 period, and whether there is a difference in daily use of COVID-19 period depending on grade. For this reason, a questionnaire survey was conducted from April 23 to 29, 2020, targeting students of University A, which is a small-scale technical centered university in the region, and 754 students answered. As a result of the study, first of all, when we looked at the trends in the use of daily-routines by period of general semester, vacation period, and COVID-19 period, the trends of the general semester period and COVID-19 period were similar in the areas of learning and self-development. Second, there were statistically significant differences in sleep, relaxation, learning and other areas between the period of the general semester and the duration of COVID-19. Third, there were statistically significant differences over grade in relaxation, learning, development, and other areas.

온라인 프로젝트 기반학습(PBL) 적용 비교과 프로그램 개발 사례 연구 (A Study on the Online Project-Based Learning (PBL) Applied Extra-curricular Program Development)

  • 송명현;김미화
    • 공학교육연구
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    • 제25권6호
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    • pp.3-13
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    • 2022
  • This study aims to develop and implement extra-curricular program applying project-based learning (PBL) and to find out its effectiveness. The research was conducted from March 2021 to December 2021 according to the ADDIE model. Surveys, t-test and descriptive statistics were also conducted. The results of the study are as follows. First, project-based learning was applied to the extra-curricular program by reflecting the characteristics of students of University A and the requirements of the person in charge of the teaching and learning center. Second, project tasks related to education of universities were proposed. Third, the programs were designed as three common courses and four consulting courses. Fourth, the program was conducted with 32 students for two months. Fifth, the post-test results of problem-solving skills rose to 0.9 points compared to the pre-test but there was no significant difference, while the post-test results of communication skills were 0.5 points lower than before and statistically significant. Sixth, the satisfaction survey result was high with a rating of 4.59. Lastly, educational implications are also discussed.

Q-러닝 기반의 선박의 최적 경로 생성 (Generation of Ship's Optimal Route based on Q-Learning)

  • 이형탁;김민규;양현
    • 한국항해항만학회:학술대회논문집
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    • 한국항해항만학회 2023년도 춘계학술대회
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    • pp.160-161
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    • 2023
  • 현재 선박의 항해계획은 항해사의 지식과 경험적인 방법에 의존하고 있다. 그러나 최근에는 선박 자율운항기술이 발전됨에 따라, 항해계획의 자동화 기술도 여러 가지 방법으로 연구되고 있다. 본 연구에서는 강화학습 기법 중 하나인 Q-러닝을 기반으로 선박 최적 항해 경로를 생성하고자 한다. 강화학습은 다양한 상황에 대한 경험을 학습하고, 이를 기반으로 최적의 결정을 내리는 방식으로 적용된다.

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