Automatic Generation of Programming Feedback; A Data-Driven Approach.

Kelly Rivers, Kenneth R. Koedinger · 2013

Abstract. Automatically generated feedback could improve the learning gains of novice programmers, especially for students who are in large classes where instructor time is limited. We propose a data-driven approach for automatic feedback generation which utilizes the program solution space to predict where a student is located within the set of many possible learning progressions and what their next steps should be. This paper describes the work we have done in implementing this approach and the challenges which arise when supporting ill-defined domains.

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