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Personalised correction, feedback and guidance in an automated tutoring system for skills training
by Claire Kenny, Claus Pahl
International Journal of Knowledge and Learning (IJKL), Vol. 4, No. 1, 2008

 

Abstract: In addition to knowledge, in various domains skills are equally important. Active learning and training are effective forms of education. We present an automated skills training system for a database programming environment that promotes procedural knowledge acquisition and skills training. The system provides support features such as correction of solutions, feedback and personalised guidance, similar to interactions with a human tutor. Specifically, we address synchronous feedback and guidance based on personalised assessment. Each of these features is automated and includes a level of personalisation and adaptation. At the core of the system is a pattern-based error classification and correction component that analyses student input.

Online publication date: Sun, 27-Jul-2008

 

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