• Title/Summary/Keyword: 메타인지 학습평가

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Design of Online Learning Community for Conceptual Learning in Engineering Education and the Evaluation of the Inquiry Activity Supporting Tools (공학교육에서의 개념학습을 위한 온라인 학습 커뮤니티의 설계와 탐구활동 지원도구의 평가)

  • Shin, Sunhee
    • Journal of Engineering Education Research
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    • v.16 no.1
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    • pp.3-14
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    • 2013
  • The previously developed practical inquiry activity supporting tools, deduced from the design principles and implementation principles based on the study of precedent researches and theories, applicable to conceptual learning in engineering education were implemented to an on-line learning community, a web-based Windows application, to find out its effectiveness in actual classroom situation through experimental research. The On-line learning community includes the inquiry activity menu to implement learning procedure of inquiry based conceptual learning, the functions supporting the communication among participants, the information sharing function, the scheduling function of class and inquiry activity, the mentoring function, and the evaluation of on-line activities of learners. Experimental study were also conducted in order to analyze the effects of inquiry activity supporting tools on inquiry based conceptual learning in engineering education.

Meta-analysis of the Application Effect of AI Educational Robots in Teaching in the New Period (새로운 시대의 교육에서 AI 교육 로봇의 응용 효과에 대한 메타 분석)

  • Cui, Jian-Dong;Song, Seung-keun
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.05a
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    • pp.52-54
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    • 2021
  • With the advent of the era of artificial intelligence, robot education and teaching under its empowerment have been widely concerned and applied worldwide. The purpose of this study: systematically evaluate the application effect of AI educational robots in student education and teaching; the method of this study: use the computer to search for relevant education in the search tools such as "Web of Science", "CNKI", "ERIC", "IEEE" A comparative study of the effects of robot teaching and traditional teaching. The retrieval time is from January 2000 to January 2020. Comprehensive MetaAnalysis 2.0 was used for Meta analysis. The results of this study: A quantitative analysis of the 31 valid research literatures included, and an objective evaluation of the effect of the meta-analysis on AI educational robots. The analysis results show that the combined effect of AI educational robots on student learning effects is 0.465 This indicates that educational robots have a moderately positive effect on students 'learning effectiveness. The conclusion of this study: The application effect of AI educational robots in student education and teaching is better than traditional education methods, which can better promote student learning.

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Testing for Learning: The Forward and Backward Effect of Testing (학습을 위한 시험: 시험의 전방효과와 후방효과)

  • Lee, Hee Seung
    • (The) Korean Journal of Educational Psychology
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    • v.31 no.4
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    • pp.819-845
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    • 2017
  • Although testing is usually done for purposes of assessment, previous research over the past 100 years indicates that testing is an effective tool for learning. Testing or retrieval practice of previously studied materials can enhance learning of that previously studied information and/or learning of subsequently presented new information. The former is referred to as the backward effect of testing whereas the latter is referred to as the forward effect of testing. Thus far, however, the literature has not isolated these two effects and most previous research focused on the backward effect. Only recent laboratory research provided evidence that there is a forward effect of testing. The present study provides a review of research on this forward and backward effect of testing, focusing on testing procedures of the effects, empirical evidence, current theoretical explanations, and issues to resolve in order to make use of testing effect in educational settings. The reviews clearly show that testing enhances memory of previously learned information by working as memory modifier and learning of newly presented information by affecting learners' metacognition, implying that testing is not just an assessment of learning, but also an effective tool for learning.

Implementation and Design of Home Economics Education Class utilization of Metaverse Platform in University (대학에서의 메타버스 플랫폼 활용 가정과 수업 개발 및 운영 사례)

  • Ju, Sueun
    • Journal of Korean Home Economics Education Association
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    • v.35 no.1
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    • pp.139-155
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    • 2023
  • The purpose of this study is to improve the digital literacy of pre-service home economics education teachers by designing and applying 'teaching materials and methods of home economics education' class using the Metaverse platform in virtual classes during the Covid-19 pandemic. For this purpose, six lessons of the 'Teaching Materials and Methods of Home Economics Education' classes were designed and applied as a class using the Metaverse platform, and the effectiveness was analyzed. In this study, three types of classes(TBL, discussion, and PBL) were developed and evaluated. The results of the study showed that most of the learners were satisfied with the classes utilizing the Metaverse platform, and the effectiveness of the classes was shown in terms of learner-instructor interaction and the realism of actual classroom cases. Based on these results, it is expected that various home economics education classes utilizing metaverse platforms will be developed and applied to school sites to increase the realism of lessons.

A method for creating the Scene closed-caption metadata based on RNN-LSTM (RNN-LSTM 기반 장면 자막 메타데이터 생성 방법)

  • Kwak, Chang-Uk;Kim, Sun-Joong
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2018.11a
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    • pp.153-155
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    • 2018
  • 정확한 영상 검색을 지원하기 위해 다양한 데이터와 방법들을 통한 메타데이터 생성 연구들이 이루어지고 있다. 자막 데이터를 기존의 키워드 기반의 메타데이터 생성 방법을 이용했을 경우, 구어체, 불완전 문장의 특징을 가진 특징을 반영하는데 어려움이 있었다. 또한, 단순히 키워드 매칭에 의존하기 때문에 문장에 중의적 단어가 포함되어 있을 경우에 검색 정확도가 떨어진다는 한계점이 있다. 따라서, 본 논문에서는 이러한 문제를 해결하기 위해 문장 전체를 특정 단위로 표현한 메타데이터를 생성한다. 이를 위해 비지도 학습인 RNN-LSTM 기반 네트워크를 이용하여 자막을 인코딩하고 장면 지식으로 생성하는 방법을 제안한다. 실험에서는 본 시스템을 통해 임의의 자막을 입력하고 유사도 기반의 결과 비교를 통해 자막 메타데이터의 정성적 평가를 수행하였다.

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A Design and Implementation of Web-Based Learning Content Management System (웹기반 학습콘텐츠관리시스템의 설계 및 구현)

  • Kim, Sang-Gil;Kim, Soo-Hyung
    • Proceedings of the Korea Information Processing Society Conference
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    • 2005.11a
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    • pp.373-376
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    • 2005
  • 웹기반의 LCMS(Learning Content Management System)는 단지 학습 콘텐츠를 LMS(Learning Management System)에 제공하기 위하여 검증이 되지 않은 다양한 학습 콘텐츠를 탑재하는 시스템으로 구성되어 있어 학습자의 요구와 수준에 맞는 콘텐츠의 제공이 제대로 이뤄지지 않고 있다. 본 논문에서는 LMS와 LCMS를 연계한 학습이력정보와 학습 콘텐츠의 정보 관리를 함으로써 학습콘텐츠의 질적 향상과 학습자가 선호하는 콘텐츠의 정보를 통계적으로 보여주고 또 분석이 가능하게 함으로써, 학습자에게 보다 향상된 콘텐츠를 제공해 주기위한 학습콘텐츠관리시스템인 LCIMS(Learning Content Information Management System)를 설계하고 구현한다. 제시된 LCIMS는 기존의 LCMS에 학습 콘텐츠를 패키지 또는 SCO 단위로 등록하여 콘텐츠 저장소 (메타데이터 및 콘텐츠 파일)에서 체계적으로 저장 및 관리하는 역할을 추가를 하고 학습자별로 LCIMS의 학습콘텐츠 정보를 수준별, 과정별로 평가, 검색하여 LMS를 통해 학습 할 수 있도록 하는 검색 및 강좌 구성에 활용하며 학습자의 학습정보관리와 학습콘텐츠 정보의 관리를 체계적으로 할 수 있다.

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Developing an Online-based Learning STEAM Program for Elementary School Students using Metaverse (메타버스를 활용한 초등학생 대상 온라인 기반 학습형 STEAM 프로그램 개발)

  • Ki Rak Park;Hyoungbum Kim
    • Journal of the Korean Society of Earth Science Education
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    • v.16 no.1
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    • pp.43-55
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    • 2023
  • This study examined the effects of an online-based learning STEAM program using Metaverse on elementary school students' attitudes toward and satisfaction with STEAM in 197 students in grades 2, 4, and 6 at a rural elementary school. To conduct this study, we developed and implemented a four- to five-lesson online-based STEAM program in each grade level. The conclusions of this study are as follows. The online learning STEAM program had a statistically significant effect on improving elementary school students' attitudes toward STEAM, and students' satisfaction with the program was high. In addition, the pilot teacher said in an interview that 'the students' attention to the program was very high, and it was very interesting to use the Metaverse space'. Based on the results of the pilot, one STEAM program for students and teachers was developed for the fourth and fifth periods of each grade level in elementary school. Online learning programs using Metaverse have the potential to transform education during the pandemic by addressing educational inequalities and providing a flexible learning environment. Therefore, we propose a study on the development of online STEAM programs for middle and high school students.

Design of Neuro Controller for Improving Velocity Control of AC Motor (AC MOTOR의 속도제어 개선을 위한 신경망제어기의 설계)

  • 설재훈;임영도
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1995.10b
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    • pp.243-248
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    • 1995
  • 본 논문에서는 신경회로망의 학습능력을 이용하여 AC 모터의 속도제어에 이용된 기 존의 PI제어기의 문제점을 보완하고자 한다. 기존의 아날로그 PI제어기에서는 각 비례, 적분 파라메타를 개발자가 조정하여 고정하면 부하가 변동될 경우 적응성이 떨어지는 문제점을 안고 있었다. 본 논문에서 제시된 디지털 신경망제어기는 학습을 통해 새로운 환경에 적응 가능하다는 점에 가정하여 설계하고 성능을 비교 평가하였다. 본 논문에서 사용된 신경회로 망의 구조는 신경망중에서 가장 범용적으로 사용되는 다층 퍼셉트론 모델구조를 선택하였 다. 신경망 제어기장치로는 인텔 8097 마이크로 콘트롤러를 이용하였다.

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교육기술과 전자출판 기술의 융합 - EDUPUB 추진 현황과 발전 가능성 연구

  • Kim, Hyeon-Yeong;Jo, Yong-Sang;Im, Sun-Beom
    • Information and Communications Magazine
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    • v.31 no.12
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    • pp.97-105
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    • 2014
  • 단행본, 소설, 잡지, 만화 등 다양한 형태의 전자출판물에 공통적으로 적용 가능한 표현 기술과 콘텐츠 유통을 위한 패키징 기술로 구성된 표준인EPUB3가 국제표준기구인 ISO/IEC에서 국제표준으로 채택됨에 따라 시장 표준이 공적 표준으로 통합되는 현상이 전자출판 분야에서도 뚜렷이 나타나고 있다. 본고에서는 전자출판 표준인 EPUB3을 교과서 등 교육용 교재, 참고서, 학습서 등 교육 분야에 확대 적용하기 위하여 온라인 평가 서비스, 학습용 소프트웨어 연계, 교육용 메타데이터 활용 등 이질적인 기술 들 간의 융합이 어떻게 이루어져야 하는지에 대한 방향을 제시한다. 이러한 노력은 지난 2013년부터 국제 표준화 단체인 IDPF(International Digital Publishing Forum), IMS Global Learning Consortium, World Wide Web Consortium이 구성한 EDUPUB Alliance를 통해 구체화되고 있다. 따라서 향후 어떠한 구체적인 주제의 논의가 국내에서도 필요한지 알아본다. 또한 디지털 교과서와 학습 교재는 모바일 및 온라인 학습환경에서 다양하게 활용될 수 있으며, 학습자가 생성하는 학습 데이터를 체계적으로 수집하고 분석한다면 학습결과를 향상시키는데 큰 기여를 할 수 있을 것으로 기대한다.

Educational Psychology in the Age of the Fourth Industrial Revolution (제4차 산업혁명 시대의 교육심리학)

  • LEE, Sun-young
    • (The)Korea Educational Review
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    • v.23 no.1
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    • pp.231-260
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    • 2017
  • The Fourth Industrial Revolution foreshadows radical changes in our lives. In the era of the fourth industrial revolution called the digital revolution, individualized learning based on ubiquitous learning is emphasized. The contents of learning will be centered on procedural knowledge rather than narrative knowledge, and fusion education in which boundaries between learning domains are broken down will be achieved. First of all, learners in the fourth industrial revolution era should have critical thinking and problem solving abilities. Metacognition based on self-control and cognitive flexibility is important for effective self-directed and active learning. Creativity-based collaborative activities, social vision skills, and social and emotional skills are also important competencies. Therefore, in order to provide individualized learning contents to learners in the fourth industrial revolution era, they should be transformed into learning paradigm based on personal characteristics such as learners' self-efficacy, interest, curiosity and creativity. In addition to this, evaluation forms should be diversified according to changing teaching and learning methods. In order to cultivate teachers to lead such educational innovation, it is necessary to reconsider the teaching capacity. Teachers should be able to construct creative lessons by skillfully exploiting technology in future learning environments. In addition to this, it should also have the ability to collaborate and cognitive flexibility to converge with other academic disciplines. Along with these discussions, we proposed the need for policy intervention along with changes in education.