Giving personalized feedback to students is very important to the learning
process. Tuttavia, doing so in a timely manner can be difficult to accomplish in
very large courses. Recent work has explored different types of automated
feedback adapted to different languages and programming paradigms, particularly
logic programming. In ProHelp, we implemented several of these types of
feedback so that they could be used by students enrolled in a logic programming
class. Then, we surveyed those students to find if the feedback was useful and
which types of feedback they preferred. Results show that students found all
types of feedback helpful, with automatic testing, in particolare, being the
most helpful type. We also explore student preferences for which types of
feedback they would most like to see implemented in the future.

Questo articolo esplora i giri e le loro implicazioni.

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