In this paper, we currently represent knowledge structure as the relationships among the starting and terminal nodes of exploration purposes. This representation provides learners not with the detailed contents of nodes that learners have explored but with the overview. In this sense, it can be viewed as map of knowledge they have constructed.
|Exploration Purposes||Visual Representation|
Part of tree
|Starting node Terminal node|
Demonstrating a learning assistant system that is currently implemented, we next discuss the following problems to be addressed towards the knowledge structure visualization: (a) how to catch up with exploration process performed by learners and (b) how to visualize knowledge structure.
It is too hard for a learning assistant system to infer exploration purposes learners set up in mind. We accordingly provide learners with a menu of exploration purposes, and require them to select one from the menu when an exploration purpose occurs. The learners are also asked when they find the terminal nodes.
Questia, a part of Gale, Cengage Learning. www.questia.com
Publication information: Book title: Human-Computer Interaction:Communication, Cooperation, and Application Design. Contributors: Hans-Jörg Bullinger - Editor, Jürgen Ziegler - Editor. Publisher: Lawrence Erlbaum Associates. Place of publication: Mahwah, NJ. Publication year: 1999. Page number: 669.
This material is protected by copyright and, with the exception of fair use, may not be further copied, distributed or transmitted in any form or by any means.