arXiv Open Access 2025

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

Charith Jayasekara Carlo Kopp Vincent Lee Chetan Arora

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Abstrak

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.

Topik & Kata Kunci

cs.CY

Penulis (4)

Charith Jayasekara

Carlo Kopp

Vincent Lee

Chetan Arora

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APA MLA BibTeX

Jayasekara, C., Kopp, C., Lee, V., Arora, C. (2025). Enhancing Engagement and Learning in Computing Education: Automated Moodle-Based Problem-Solving Assessments. https://arxiv.org/abs/2508.17191

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Informasi Jurnal

Tahun Terbit: 2025
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓