Teaching compilers: automatic question generation and intelligent assessment of grammars' Parsing

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Abstract

Automatic question generation and the assessment of procedural knowledge is still a challenging research topic. This article focuses on the case of it, the techniques of parsing grammars for compiler construction. There are two well-known techniques for parsing: top-down parsing with LL(1) and bottom-up with LR(1). Learning these techniques and learning to design grammars that can be parsed with these techniques requires practice. This article describes an application that covers all the tasks needed to automa- tize the learning and assessment process: 1) automatically generate context-free languages and grammars of different complexity; 2) pose different types of questions to the student with an appropriate response interface; 3) automatically correct the student answer, including grammar design for a given language; and 4) provide feedback on errors. The application has been implemented as a plug-in of the SIETTE assessment system that, in addition, can provide adaptive behavior for question selection. It has been suc- cessfully used by more than a thousand students for formative and summative assessment.

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R. C. Muñoz, B. B. Blanco, J. d. Campo-Ávila and J. L. T. Rodriguez, "Teaching Compilers: Automatic Question Generation and Intelligent Assessment of Grammars' Parsing," in IEEE Transactions on Learning Technologies, vol. 17, pp. 1734-1744, 2024, doi: 10.1109/TLT.2024.3405565

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Except where otherwised noted, this item's license is described as Atribución 4.0 Internacional