Enhancing Engagement and Learning in Computing Education: Automated Moodle-Based Problem-Solving Assessments

TL;DR

This paper introduces automated Moodle-based Problem-Solving Assessments that improve scalability, fairness, and authentic learning in large-scale computing education by replacing traditional exams with interactive, real-world tasks.

Contribution

It presents a novel, scalable, and integrated assessment model using Moodle for computing education, enhancing authenticity and reducing grading inconsistencies.

Findings

Improved scalability and fairness of assessments.

Enhanced alignment with learning outcomes.

Reduced academic integrity risks.

Abstract

This paper presents the design and refinement of automated Moodle-based Problem-Solving Assessments (PSAs) deployed across large-scale computing units. Developed to replace traditional exams, PSAs assess applied problem-solving skills through parameterised, real-world tasks delivered via Moodle's quiz engine. Integrated with interactive workshops, this approach supports authentic learning, mitigates academic integrity risks, and reduces inconsistencies in marking. Iterative improvements have enhanced scalability, fairness, and alignment with learning outcomes. The model offers a practical and sustainable alternative for modern computing and engineering education.