Human-Computer Interaction: Communication, Cooperation, and Application Design

By Hans-Jörg Bullinger; Jürgen Ziegler | Go to book overview

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.


Table 1: Exploration Purposes and Visual Representations.
Exploration Purposes Visual Representation
Supplement Inclusion
Elaborate Set or
Part of tree
Compare Bidirectio
arrow
Justify Vertical arrow
Rethink Node
superposition
Apply Arrow
Starting node Terminal node
Figure 1: An Exploration History.

3. Knowledge Structure Visualization

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.


3.1 How to Catch Up with Exploration Process

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.

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