DocumentCode
3139318
Title
A Framework for Automated Diagram Assessment in Online Learning
Author
Fan, Sandra B. ; Tanimoto, Steven L.
Author_Institution
Univ. of Washington, Seattle
fYear
2007
fDate
18-20 July 2007
Firstpage
51
Lastpage
53
Abstract
This paper explores how to incorporate the expressiveness and learning benefits of diagrams with the computing power and scalability available in online learning. As a first step toward a framework for automated assessment of student diagrams in online learning environments, we propose a new feature for the INF ACT system\´s Sketch Tool. This "Blobs, Links and Labels" (BLL) feature eliminates ambiguity in diagrams by imposing a flexible, graph- inspired structure to the diagrams. Specifying assessment will be done in the style of programming- by-demonstration, where the instructor uses the system to provide examples of correct or incorrect student diagrams, which are then used by the assessment tool. In designing the BLL feature, we aim to strike a balance between diagrams\´ expressive power versus ease of use and ease of automated assessment.
Keywords
computer aided instruction; teaching; automated diagram assessment; blobs-links-labels feature; online learning; programming-by-demonstration; sketch tool; teaching; Automatic programming; Chemicals; Circuits; Computer science; Education; Power engineering and energy; Power engineering computing; Programming profession; Scalability; Shape;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Learning Technologies, 2007. ICALT 2007. Seventh IEEE International Conference on
Conference_Location
Niigata
Print_ISBN
0-7695-2916-X
Type
conf
DOI
10.1109/ICALT.2007.11
Filename
4280947
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