Building a Comprehensive Automated Programming Assessment System

Automated Programming Assessment Systems (APAS) are used for overcoming problems associated with manually managed programming assignments, such as objective and efficient assessing in large classes and providing timely and helpful feedback. In this paper we survey the literature and software in this...

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Vydáno v:IEEE access Ročník 8; s. 81154 - 81172
Hlavní autoři: Mekterovic, Igor, Brkic, Ljiljana, Milasinovic, Boris, Baranovic, Mirta
Médium: Journal Article
Jazyk:angličtina
Vydáno: Piscataway IEEE 2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
APAS
Automation
computer science education
courseware
Data analysis
educational technology
Freeware
Monitoring
Multiple choice
Open source software
Programming languages
Programming profession
Query languages
Questions
scalability
Software
software architecture
Source code
Structured Query Language
Students
ISSN:2169-3536, 2169-3536
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Shrnutí:Automated Programming Assessment Systems (APAS) are used for overcoming problems associated with manually managed programming assignments, such as objective and efficient assessing in large classes and providing timely and helpful feedback. In this paper we survey the literature and software in this field and identify the set of necessary features that make APAS comprehensive - such that it can support all key stages in the assessment process. Put differently, comprehensive APAS is generic enough to meet the demands of "any" computer science course. Despite the vast number of publications, the choice of software turns out to be very limited. We contribute by developing Edgar, a comprehensive open-source APAS which, to the best of our knowledge, exceeds any other similar free and/or open-source tool. Edgar is the result of three years of development and usage in, for the time being, eight courses dealing with various programming languages and paradigms (C, Java, SQL, etc.). Edgar supports various text-based programming languages, multi-correct multiple-choice questions, provides rich exam logging and monitoring infrastructure to prevent potential fraudulent behaviour, and subsequent data analysis and visualization of students' scores, exams, question quality, etc. It can be deployed on all major operating systems and is written in a modular fashion so that it can be adjusted and scaled to a custom fit. We comment on the architecture and present data from real-world use-cases to support these claims. Edgar is in active use today (1000+ students per semester) and it is being constantly developed with new features.
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ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2020.2990980