How to Support Meta-Cognitive Skills for Finding and Correcting Errors?

Melis, Erica (German Research Center for Artificial Intelligence (DFKI)) | Sander, Andreas (University of Saarlandes) | Tsovaltzi, Dimitra (German Research Center for Artificial Intelligence (DFKI))

AAAI Conferences 

Meta-cognitive skills to be developed in learning for the 21st century is the detection and correction of errors in solutions. These meta-cognitive skills can help to detect errors the learner has made her/himself as well as errors others have made. Our investigations in learning from errors have the ultimate goal to adapt the selection and presentation to the learner so that he/she can better learn from erroneous examples others have made. In our experiments we found that (1) erroneous examples with help provision can promote students skill of find errors, (2) the benefit from erroneous examples depends on the relation between the student's level and the example's difficulty, i.e. if the student is prepared for the problem, (3) for many students it is very difficult to correct errors.

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