编译器教学:自动问题生成和语法分析智能评估

IF 2.9 3区 教育学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Ricardo Conejo Muñoz;Beatriz Barros Blanco;José del Campo-Ávila;José L. Triviño Rodriguez
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引用次数: 0

摘要

自动问题生成和程序知识评估仍然是一个具有挑战性的研究课题。本文重点讨论其中的一个案例,即用于编译器构建的语法分析技术。有两种著名的语法分析技术:LL(1) 的自上而下分析技术和 LR(1) 的自下而上分析技术。学习这些技术并学会设计能用这些技术解析的语法需要练习。本文介绍的应用程序涵盖了学习和评估过程自动化所需的所有任务:1)自动生成不同复杂程度的无上下文语言和语法;2)向学生提出不同类型的问题,并提供适当的回答界面;3)自动纠正学生的答案,包括为给定语言设计语法;以及 4)提供错误反馈。该应用程序已作为 SIETTE 评估系统的一个插件实施,此外,该系统还可为问题选择提供自适应行为。目前已有一千多名学生成功地使用了该应用程序进行形成性和总结性评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Teaching Compilers: Automatic Question Generation and Intelligent Assessment of Grammars' Parsing
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 automatize 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 successfully used by more than a thousand students for formative and summative assessment.
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来源期刊
IEEE Transactions on Learning Technologies
IEEE Transactions on Learning Technologies COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
7.50
自引率
5.40%
发文量
82
审稿时长
>12 weeks
期刊介绍: The IEEE Transactions on Learning Technologies covers all advances in learning technologies and their applications, including but not limited to the following topics: innovative online learning systems; intelligent tutors; educational games; simulation systems for education and training; collaborative learning tools; learning with mobile devices; wearable devices and interfaces for learning; personalized and adaptive learning systems; tools for formative and summative assessment; tools for learning analytics and educational data mining; ontologies for learning systems; standards and web services that support learning; authoring tools for learning materials; computer support for peer tutoring; learning via computer-mediated inquiry, field, and lab work; social learning techniques; social networks and infrastructures for learning and knowledge sharing; and creation and management of learning objects.
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