Paper Info
Title
Assisting construction of meta-cognitive competence by scaffolding discovery of plans in problem-solving
Abstract
In our collaborative environment for learning by problem-solving, whose implementation so far will be briefly described, we provide the learners with an environment in which they edit plans for solving given problems by selecting and connecting problem types provided by the system. In the problem types, on which we first discuss, context-dependent plans consisting of problem types are embedded. The learners should recursively edit plans. Embedded plans, however, are provided, when they get deadlock. A library of sample problems are also provided so as to be examined by the learners to learn what are and how are used the plans and the problem types in concern. Finally we propose, as learning control to realize construction of meta-cognitive competence, to make use of the library of sample problems with solution to scaffold discovering plans for the problem given to the learners, through retrieving and providing pertinent sample problems using, as indices, the problem types and plans as well as annotations for bridging problem types or plans.
Year
DOI
Venue
2005
10.1007/11553939_182
KES (3)
Keywords
Field
DocType
sample problem,meta-cognitive competence,scaffolding discovery,assisting construction,collaborative environment,pertinent sample problem,problem type,context dependent
Concurrent engineering,Computer science,Deadlock,Type theory,Artificial intelligence,Cognition,Recursion,Distributed computing,Scaffold,Software engineering,Bridging (networking),Knowledge extraction,Machine learning
Conference
Volume
ISSN
ISBN
3683
0302-9743
3-540-28896-1
Citations 
PageRank 
References 
0
0.34
1
Authors
5
Name
Order
Citations
PageRank
Kohji Itoh15614.54
Eisuke Mihara200.34
Kenji Hasegawa300.34
Masahiro Fujii41914.62
Makoto Itami53822.17