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Related Experiment Video

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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

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Perspective on Code Submission and Automated Evaluation Platforms for University Teaching.

Florian Auer¹, Johann Frei¹, Dominik Müller¹

¹IT-Infrastructure for Translational Medical Research, University of Augsburg, Augsburg, Germany.

Studies in Health Technology and Informatics

|June 8, 2022

Summary

Platforms for code submission and automated evaluation are crucial for remote university teaching. Automated code evaluation enhances quality and scalability, benefiting both students and educators.

Keywords:

Teaching automated code evaluation education student assignment management

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Area of Science:

Computer Science Education
Software Engineering Education

Background:

The COVID-19 pandemic necessitated remote learning solutions in higher education.
Increasing computer science student numbers require scalable assessment methods.

Purpose of the Study:

To present a perspective on code submission and automated evaluation platforms for university teaching.
To identify requirements for practical and secure code submission environments.
To assess student perceptions of these platforms.

Main Methods:

Literature review and analysis of platform requirements.
Conducting a student survey to gather empirical data on perceptions.

Main Results:

Automated code evaluation positively impacts quality and scalability for students and teachers.
Key technical and non-technical requirements for platforms were identified.
Student survey provided insights into general perceptions of these systems.

Conclusions:

Code submission and automated evaluation platforms require ongoing maintenance.
These systems reduce teacher workload and increase evaluation transparency for students.