IEEE Access · 2020 · 70 citations · 38 references
EducationComputer ScienceEducational AssessmentAssessment DesignProgramming LanguagesSoftware EngineeringEducational Software EvaluationStudent AssessmentComprehensive ExamsComputer Science CurriculumFeedbackFeedback Generation For ProgrammingMultiple-choice QuestionsQuestion QualityUser Feedback
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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Statistical Theories of Mental Test Scores
William W. Rozeboom, Frederic M. Lord, Melvin R. Novick et al. · American Educational Research Journal · 1969 · 8.1K citations
Review of recent systems for automatic assessment of programming assignments
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