Perspective on Code Submission and Automated Evaluation Platforms for University Teaching

Bibliographic Details
Title: Perspective on Code Submission and Automated Evaluation Platforms for University Teaching
Authors: Auer, Florian, Frei, Johann, Müller, Dominik, Kramer, Frank
Publication Year: 2022
Collection: Computer Science
Subject Terms: Computer Science - Computers and Society, Computer Science - Software Engineering
More Details: We present a perspective on platforms for code submission and automated evaluation in the context of university teaching. Due to the COVID-19 pandemic, such platforms have become an essential asset for remote courses and a reasonable standard for structured code submission concerning increasing numbers of students in computer sciences. Utilizing automated code evaluation techniques exhibits notable positive impacts for both students and teachers in terms of quality and scalability. We identified relevant technical and non-technical requirements for such platforms in terms of practical applicability and secure code submission environments. Furthermore, a survey among students was conducted to obtain empirical data on general perception. We conclude that submission and automated evaluation involves continuous maintenance yet lowers the required workload for teachers and provides better evaluation transparency for students.
Comment: Source code: https://github.com/frankkramer-lab/MISITcms-app. Manuscript accepted for publication in the following Conference - Jorunal: MedInfo 2021, Virtual Conference, October 2-4, 2021 - IOS Press
Document Type: Working Paper
Access URL: http://arxiv.org/abs/2201.13222
Accession Number: edsarx.2201.13222
Database: arXiv
More Details
Description not available.