What is it about?
A review of the state-of-the-art in the automated assessment of CS assignments, focusing on the supported types of exercises, security measures adopted, testing techniques used, type of feedback produced, and the information they offer the teacher to understand and optimize learning.
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Why is it important?
A new era of automated assessment, capitalizing on static analysis techniques and containerization, has been identified. Furthermore, this review presents several other findings from the conducted review, discusses the current challenges of the field, and proposes some future research directions.
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This page is a summary of: Automated Assessment in Computer Science Education: A State-of-the-Art Review, Digital Threats Research and Practice, February 2022, ACM (Association for Computing Machinery),
DOI: 10.1145/3513140.
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