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ASSOCIATION FOR THE ADVANCEMENT OF COMPUTING IN EDUCATION Collaborative Example Selection in an Intelligent Example-Based Programming Environment

By Daniel C Edelson, Eric A Domeshek, Peter Brusilovsky and Gerhard Weber


Abstract: This paper discusses problems related to finding relevant examples in educational example-based programming environments. We consider several approaches to organizing example selection in such environments. The paper defends the collaborative approach to example selection which implies that the user and the system collaborate in the process of example selection. The search process is driven by the user and the system supports the user with all available knowledge. To demonstrate possible ways of implementing this approach we describe how several forms of collaborative example selection were implemented in ELM-PE, an intelligent programming environment for learning LISP

Year: 2010
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