Data driven automatic feedback generation in the iList intelligent tutoring system

@inproceedings{Fossati2014DataDA,
  title={Data driven automatic feedback generation in the iList intelligent tutoring system},
  author={Davide Fossati},
  year={2014}
}
Based on our empirical studies of effective human tutoring, we developed an Intelligent Tutoring System, iList, that helps students learn linked lists, a challenging topic in Computer Science education. The iList system can provide several forms of feedback to students. Feedback is automatically generated thanks to a Procedural Knowledge Model extracted from the history of interaction of students with the system. This model allows iList to provide effective reactive and proactive procedural… CONTINUE READING
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