Recent approaches for covering solution space of intelligent tutoring systems for programming
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nguyenvany_tcb@yahoo.comKeywords:
Intelligent Tutoring System, Programming Tutor, Programming Exercises, Solution Space, FeedbackAbstract
Introductory programming is an essential part of the curriculum in any engineering disciplines in universities. However, for many beginning students, it is very difficult to learn. In particular, these students often get stuck and frustrated when attempting to solve programming exercises. One way to assist beginning programmers to overcome difficulties in learning to program is to use intelligent tutoring systems (ITSs) for programming, which can provide students with personalized hints of students’ solving process in programming exercises. In ITSs for programming, a single programming exercise may produce many alternative solutions from students. It is difficult to build ITSs for programming due to the complexity and variety of possible solutions. In order for the students to learn from the system, it is necessary for them to receive feedback on their solutions to the programming exercises. To provide personalized feedback to students who are solving programming exercises effectively, the ITSs for programming must be able to cover a large space of possible solutions. The goal of this paper is to provide a brief review of the works in the literature related to this problem.
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