Abstract
This paper examines the problem of studying and comparing student software designs. We propose semantic categorization as a way to organize widely varying data items. We
describe how this was used to organize a particular multinational multi-institutional dataset, and discuss the implications of using such techniques for education researchers.
| Original language | English |
|---|---|
| Publication status | Published - 2005 |
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