Worked Out Examples in Computer Science Tutoring

Barbara Di Eugenio, Lin Chen, Nick E. Green, Davide Fossati, Omar AlZoubi

Abstract: We annotated and analyzed Worked Out Examples (WOEs) in a corpus of tutoring dialogues on Computer Science data structures. We found that some dialogue moves that occur within WOEs, or sequences thereof, correlate with learning. Features of WOEs such as length also correlate with learning for some data structures. These results will be used to augment the tutorial tactics available to iList, an ITS that helps student learn linked lists.