Effect of a limited-enforcement intelligent tutoring system in dermatopathology on student errors, goals and solution paths

Velma L. Payne, Olga Medvedeva, Elizabeth Legowski, Melissa Castine, Eugene Tseytlin, Drazen Jukic, Rebecca S. Crowley
2009 Artificial Intelligence in Medicine  
both errors and goal differences. However, the rate at which students progress toward the optimal solution path differs between the two domains. Tutoring in superficial perivascular dermatitis, the larger and more complex domain was associated with a slower rate of approximation towards the optimal solution path. Conclusions: Students benefit from a limited-enforcement tutoring system that leverages diagnostic algorithms but does not prevent alternative strategies. Even with limited
more » ... students converge toward the optimal solution path. #
doi:10.1016/j.artmed.2009.07.002 pmid:19782544 fatcat:ufdwwbxpwjax3pdt7eaxljdjuu