AbstractsComputer Science

Strategy-based feedback for imperative programming exercises

by Hieke Keuning




Institution: Open Universiteit Nederland
Department:
Year: 2014
Keywords: imperative programming tutor; automated feedback
Record ID: 1243140
Full text PDF: http://hdl.handle.net/1820/5388


Abstract

More and more people take up learning how to program: in schools and universities, in large open online courses or by learning it by themselves. A large number of tools have been developed over the years to support learners with the difficult task of building programs. Many of these tools focus on the resulting program and not on the process: they fail to help the student to take the necessary steps towards the final program. We have developed a prototype of a programming tutor to help students with feedback and hints to progress towards a solution for an introductory imperative programming problem. We draw upon the ideas of a similar tutor for functional programming and translate these ideas to a different paradigm. Our tutor is based on model solutions from which a programming strategy is derived capturing the different paths to these solutions. We allow for variation by expanding the strategy with alternatives and using program transformations. The instructor is able to adapt the behaviour of the tutor by annotating the model solutions. We collected data from computer science students to verify that we could recognise their correct and incorrect solutions. Some tutoring sessions are shown to demonstrate the capabilities of our tutor.