A Web-Based Educational System for Teaching Compilers

Stamenković, Srećko; Jovanović, Nenad

doi:10.1109/tlt.2023.3297626

Cited by 1 publication

(2 citation statements)

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“…Most of the automated question generation systems are associated with texts that often require the use of natural language analysis techniques [13]- [15]. Our approach focuses on the evaluation of procedural knowledge [16], specifically Comparative table of SIETTE features with other tools that address similar educational tasks published along last decade: LISA [2], SESHAT [3], PROLETOOL [4], PAMOJA [5] and COMVIS [6] This…”

Section: Introductionmentioning

confidence: 99%

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Teaching Compilers: Automatic Question Generation and Intelligent Assessment of Grammars' Parsing

Muñoz,

Blanco,

Campo-Ávila

et al. 2024

IEEE Trans. Learning Technol.

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Automatic question generation and the assessment of procedural knowledge is still a challenging research topic. This article focuses on 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 bottomup 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 automatise 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; (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 behaviour for question selection. It has been successfully used by more than a thousand students for formative and summative assessment.

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Section: Introductionmentioning

confidence: 99%

“…Fig.1. Comparative table of SIETTE features with other tools that address similar educational tasks published along last decade: LISA[2], SESHAT[3], PROLETOOL[4], PAMOJA[5] and COMVIS[6] …”

mentioning

confidence: 99%