Autograding Distributed Algorithms in Networked Containers

Maicus, Evan; Peveler, Matthew; Patterson, Stacy; Cutler, Barbara

doi:10.1145/3287324.3287505

Cited by 10 publications

(2 citation statements)

References 8 publications

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“…Others have contributed to education research in DS by describing innovative projects for DS courses [1,2,50,52] and studying how to ease the process of grading distributed algorithms assignments [34]. Szabo [45] studied if final year undergraduates building a complex distributed system meet desired graduate outcomes.…”

Section: Related Workmentioning

confidence: 99%

Have We Reached Consensus? An Analysis of Distributed Systems Syllabi

Abad

Ortiz-Holguin

Boza

2021

Proceedings of the 52nd ACM Technical Symposium on Computer Science Education

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Correctly applying distributed systems concepts is important for software that seeks to be scalable, reliable and fast. For this reason, Distributed Systems is a course included in many Computer Science programs. To both describe current trends in teaching distributed systems and as a reference for educators that seek to improve the quality of their syllabi, we present a review of 51 syllabi of distributed systems courses from top Computer Science programs around the world. We manually curated the syllabi and extracted data that allowed us to identify approaches used in teaching this subject, including choice of topics, book, and paper reading list. We present our results and a discussion on whether what is being taught matches the guidelines of two important curriculum initiatives. CCS CONCEPTS• Social and professional topics → Computer science education; Model curricula.

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Section: Related Workmentioning

confidence: 99%

Have We Reached Consensus? An Analysis of Distributed Systems Syllabi

Abad

Ortiz-Holguin

Boza

2021

Proceedings of the 52nd ACM Technical Symposium on Computer Science Education

View full text Add to dashboard Cite

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“…In addition, several developments have been made for the facilitation of programming pedagogy [4,17,21], and automatic assessment analysis with either static analysis and dynamic analysis or a hybrid of both methodologies [1, 2, 9-13, 15, 22, 23, 25]. Maicus et al employed containers for automatic grading for distributed algorithms courses and evaluated the submissions by examining the data streams between components [18]. However, our work is concerned with standalone mobile applications (games) developed with Processing that are graphical in nature and have user interactivity as a key component of the program.…”

Section: Background and Related Workmentioning

confidence: 99%

AutoGrad: Automated Grading Software for Mobile Game Assignments in SuaCode Courses

Annor¹,

Boateng²,

Kayang³

et al. 2021

Preprint

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Automatic grading systems have been in existence since the turn of the half-century. Several systems have been developed in the literature with either static analysis and dynamic analysis or a hybrid of both methodologies for computer science courses. This paper presents AutoGrad, a novel portable cross-platform automatic grading system for graphical Processing programs developed on Android smartphones during an online course. AutoGrad uses Processing, which is used in the emerging Interactive Media Arts, and pioneers grading systems utilized outside the sciences to assist tuition in the Arts. It also represents the first system built and tested in an African context across over thirty-five countries across the continent. This paper first explores the design and implementation of AutoGrad. AutoGrad employs APIs to download the assignments from the course platform, performs static and dynamic analysis on the assignment to evaluate the graphical output of the program, and returns the grade and feedback to the student. It then evaluates Au-toGrad by analyzing data collected from the two online cohorts of 1000+ students of our SuaCode smartphone-based course. From the analysis and students' feedback, AutoGrad is shown to be adequate for automatic assessment, feedback provision to students, and easy integration for both cloud and standalone usage by reducing the time and effort required in grading the 4 assignments required to complete the course. CCS CONCEPTS• Applied computing → E-learning; Computer-assisted instruction; • Software and its engineering → Application specific development environments.

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