Managing cognitive load during document-based learning

被引:18
|
作者
Rouet, Jean-Francois [1 ,2 ]
机构
[1] Univ Poitiers, Res Ctr Cognit & Learning, F-86000 Poitiers, France
[2] Natl Ctr Sci Res, F-86000 Poitiers, France
关键词
Cognitive load; Hypertext; Multimedia; Prior knowledge; Problem solving; Self-regulated learning; Strategies;
D O I
10.1016/j.learninstruc.2009.02.007
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
Designers of interactive learning environments face the issue of managing the learner's cognitive load, reducing irrelevant sources while optimizing useful sources of load. I propose a conceptual framework aimed at organizing the contributions of the papers presented in this special issue. The framework identifies three main dimensions, namely individual, task and environment, which may have specific or combined effects on the amount and type of cognitive load experienced during learning activities. I summarize some of the findings presented in the special issue with respect to each of these dimensions. Then I discuss some limitations of the studies and some perspectives for further research in the domain. I emphasize the need to control learners' level of familiarity with the task setting and environment features, not just their prior knowledge of the content area, in order to obtain reliable assessments of cognitive load and learning outcomes. (C) 2009 Published by Elsevier Ltd.
引用
收藏
页码:445 / 450
页数:6
相关论文
共 50 条
  • [21] Combined Document/Business Card Detector for Proactive Document-Based Services on the Smartphone
    Kim, Yong-Joong
    Kim, Yonghyun
    Kang, Bong-Nam
    Kim, Daijin
    NEURAL INFORMATION PROCESSING, ICONIP 2015, PT IV, 2015, 9492 : 393 - 402
  • [22] A Document-Based Approach to Monitor Business Process Instances
    AbuSafiya, Majed
    Mazumdar, Subhasish
    ENTERPRISE MODELLING AND INFORMATION SYSTEMS ARCHITECTURES-AN INTERNATIONAL JOURNAL, 2008, 3 (02): : 54 - 64
  • [23] Applications and Enhancement of Document-Based Sentiment Analysis in Deep learning Methods: Systematic Literature Review
    Alshuwaier, Faisal
    Areshey, Ali
    Poon, Josiah
    INTELLIGENT SYSTEMS WITH APPLICATIONS, 2022, 15
  • [24] Document-based workflow modeling: a case-based reasoning approach
    Kim, J
    Suh, W
    Lee, H
    EXPERT SYSTEMS WITH APPLICATIONS, 2002, 23 (02) : 77 - 93
  • [25] Comparison Between Document-based, Term-based and Hybrid Partitioning
    Abusukhon, Ahmad
    Oakes, Michael P.
    Talib, Mohammad
    Abdalla, Ayman M.
    2008 FIRST INTERNATIONAL CONFERENCE ON THE APPLICATIONS OF DIGITAL INFORMATION AND WEB TECHNOLOGIES, VOLS 1 AND 2, 2008, : 97 - +
  • [26] Convolutional Deep Neural Networks for Document-Based Question Answering
    Fu, Jian
    Qiu, Xipeng
    Huang, Xuanjing
    NATURAL LANGUAGE UNDERSTANDING AND INTELLIGENT APPLICATIONS (NLPCC 2016), 2016, 10102 : 790 - 797
  • [27] Evaluating the role of a shared document-based annotation tool in learner-centered collaborative learning
    Nokelainen, P
    Kurhila, J
    Miettinen, M
    Floréen, P
    Tirri, H
    3RD IEEE INTERNATIONAL CONFERENCE ON ADVANCED LEARNING TECHNOLOGIES, PROCEEDINGS, 2003, : 200 - 203
  • [28] Less is More! Preliminary Evaluation of Multi-Functional Document-Based Online Learning Environment
    Isomottonen, Ville
    Lakanen, Antti-Jussi
    Lappalainen, Vesa
    2019 IEEE FRONTIERS IN EDUCATION CONFERENCE (FIE 2019), 2019,
  • [29] Managing cognitive load - recent trends in cognitive load theory
    Bannert, M
    LEARNING AND INSTRUCTION, 2002, 12 (01) : 139 - 146
  • [30] Voluntary Geographic Information Systems with Document-based NoSQL Databases
    Mendonca Maia, Daniel Cosme
    Camargos, Breno D. C.
    Holanda, Maristela
    2016 11TH IBERIAN CONFERENCE ON INFORMATION SYSTEMS AND TECHNOLOGIES (CISTI), 2016,