• Aug 06, 2018 News! IJIET Vol. 7, No. 1-No. 8 have been indexed by EI (Inspec).   [Click]
  • Mar 06, 2019 News!Vol. 9, No. 4 issue has been published online!   [Click]
  • Feb 25, 2019 News!Vol. 9, No. 3 issue has been published online!   [Click]
General Information
    • ISSN: 2010-3689
    • Frequency: Bimonthly (2011-2014); Monthly (Since 2015)
    • DOI: 10.18178/IJIET
    • Editor-in-Chief: Prof. Dr. Steve Thatcher
    • Executive Editor: Ms. Nancy Y. Liu
    • Abstracting/ Indexing: Scopus (Since 2019), EI(INSPEC, IET), Electronic Journals Library, Google Scholar, Crossref, etc.
    • E-mail: ijiet@ejournal.net
Prof. Dr. Steve Thatcher
QUniversity, Australia
It is my honor to be the editor-in-chief of IJIET. The journal publishes good-quality papers which focous on the advanced researches in the field of information and education technology. Hopefully, IJIET will become a recognized journal among the scholars in the related fields.

IJIET 2015 Vol.5(12): 920-923 ISSN: 2010-3689
DOI: 10.7763/IJIET.2015.V5.638

Research on Solving Ill-Structured Problems for e-Learning: Cognitive Perspectives

Jianzhen Chen and Xiaoping Li
Abstract—Ill-structured problems are defined as having vague goals that permit multiple solution paths. Solving ill-structured problems requires domain-specific knowledge as well as structural knowledge. Domain-specific knowledge is content knowledge consisting of cognitive components such as propositional information, concepts, rules, and principles.This article focuses on how to promote ill-structured problems solving. Using maps may solve ill-structured problems associated with visualizing information structure. Activities have been found to be effective in facilitating ill-structured problems-solving processes.Metacognition plays a key role in solving it. Advance organizers will promote connections between prior knowledge and the to-be-learned ill-structured problems in e-learning. It is necessary to reduce extraneous cognitive load caused by interactivity.

Index Terms—Ill-structured problems, concept maps, meta-cognition, advance organizers, cognitive load.

Jianzhen Chen and Xiaoping Li are with the Beijing Institute of Technology and Tianjin University of Technology and Education, China (e-mail: jzhen22@126.com).


Cite: Jianzhen Chen and Xiaoping Li, "Research on Solving Ill-Structured Problems for e-Learning: Cognitive Perspectives," International Journal of Information and Education Technology vol. 5, no. 12, pp. 920-923, 2015.

Copyright © 2008-2019. International Journal of Information and Education Technology. All rights reserved.
E-mail: ijiet@ejournal.net