연구동향 분석

온라인 소프트웨어 교육에서 학습자의 자기조절학습 관련 특성에 기반한 온라인 학습 유형 분석: 계층적 군집 분석 기법을 활용하여

한정윤 이성혜 2019년

논문상세정보
인용/피인용
' 온라인 소프트웨어 교육에서 학습자의 자기조절학습 관련 특성에 기반한 온라인 학습 유형 분석: 계층적 군집 분석 기법을 활용하여' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • 4th Industrial Revolution
  • 4차 산업혁명
  • Learning Analytics
  • Online Learning
  • Self-regulated Learning
  • Software Education
  • cluster analysis
  • 군집분석
  • 소프트웨어 교육
  • 온라인학습
  • 자기조절학습
  • 학습 분석
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
4,568 0

0.0%

' 온라인 소프트웨어 교육에서 학습자의 자기조절학습 관련 특성에 기반한 온라인 학습 유형 분석: 계층적 군집 분석 기법을 활용하여' 의 참고문헌

  • 학습분석학 관점에서 학습자의 자기주도학습 지원을 위한 학습 데이터 탐색 연구
    성은모 [2016]
  • 학습분석 모델 및 확장 방안 연구 보고서
    나일주 [2015]
  • 컴퓨터 기능 교육에서 초인지를 이용한 협력적 성찰 수업모형의 개발 및 적용
    이미숙 [2005]
  • 초등학생들을 위한 프로그래밍 언어 교육 방법론
    김갑수 [2009]
  • 재직 학습자의 원격고등교육과정에서의 학습활동 특성 및 학업성취 영향 변인 분석: 학습분석을 적용하여
    노일경 [2016]
  • 이러닝에서 학습자의 시간관리 전략이 학업성취도에 미치는 영향: 학습분석학적 접근
    조일현 [2013]
  • 온라인 소프트웨어 교육 학습자들의 자기주도학습 유형 분류 및 특징 분석
    성은모 [2019]
  • 실과(기술․가정)/정보과 교육과정
  • 소프트웨어 교육 활성화 기본계획
  • Using hypermedia as a metacognitive tool for enhancing student learning? The role of self-regulated learning
    Azevedo, R. [2005]
  • The elements of statistical learning : data mining, inference and prediction
    Hastie, T. [2005]
  • Supporting self-regulated learning in online learning environments and MOOCs: A systematic review
    Wong, J. [2017]
  • Students’ characteristics, self-regulated learning, technology self-efficacy, and course outcomes in online learning
    Wang, C. H. [2013]
  • Students’ and instructors’ use of massive open online courses(MOOCs) : Motivations and challenges
    Hew, K. F. [2014]
  • Student performance in computing education : an empirical analysis of online learning in programming education environments
    Xia, B. S. [2017]
  • Self-regulation in online learning
    Cho, M. H. [2013]
  • Self-regulated learning strategies & academic achievement in online higher education learning environments : A systematic review
  • Self-regulated learning and academic achievement: An Overview
  • Research trends in self-regulated learning research in online learning environments : A review of studies published in selected journals from 2003to 2012
    Tsai, C. W. [2013]
  • Reading and Understanding More Multivariate Statistics
    Hair, J. F. [2000]
  • Procrastination in a distance university setting
  • Predictive modeling to forecast student outcomes and drive effective interventions in online community college courses
  • Predicting Student Performance: An Application of Data Mining Methods with an educational Web-based System
  • Numbers are not enough. why e-learning analytics failed to inform an institutional strategic plan
  • Motivational beliefs and perceptions of instructional quality:Predicting satisfaction with online training
  • Motivational and self-regulated learning components of classroom academic performance
  • Modelling and quantifying the behaviours of students in lecture capture environments
    Brooks, C. [2014]
  • Measuring self-regulation in online and blended learning environments
    Barnard, L. [2009]
  • Identifying significant indicators using lms data to predict course achievement in online learning
    You, J. W. [2016]
  • Hierarchical grouping to optimize an objective function
    Ward, J. H. [1968]
  • Handbook of self-regulation of learning and performance
  • Exploring online students‘ self-regulated learning with self-reported surveys and log files : a data mining approach
    Cho, M. [2017]
  • Examining the effect of academic procrastination on achievement using LMS data in e-learning
    You, J. W. [2015]
  • EBS SW 소개
  • Development of achievement motivation
  • Developing a self-regulated oriented online programming teaching and learning system
    Huang, T. [2014]
  • Defining clusters from a hierarchical cluster tree: the Dynamic Tree Cut package for R
  • Construct validation of a strategy model of student self-regulated learning
  • Cognitive, metacognitive and motivational perspectives on preflection in self-regulated online learning
    Lehmann, T. [2014]
  • An online learning platform for teaching, learning, and assessment of programming
  • An Introduction to Statistical Learning
    James, G. [2013]
  • A review of online course dropout research : Implications for practice and future research
    Lee, Y. [2011]
  • 4차 산업혁명시대, 과학영재 어떻게 육성할 것인가
    정현철 [2018]
  • 019년도 소프트웨어 영재학급 선정 지원