Manuscripts undergo a rigorous double-blind peer review by independent experts to ensure scientific quality and integrity.

During the COVID-19 pandemic, remote learning (RL) transformed the educational landscape for hands-on Computer Science courses. This paradigm shift accelerated the transition from traditional inperson programming labs to decentralized student-provided resources

Manuscripts undergo a rigorous double-blind peer review

. Even as students returned to in-person learning, many continued to rely on their personal computers rather than embracing university-provided labs. However, this shift to decentralized, heterogeneous environments introduced a variety of information technology and instructional challenges.

 

The recent emergence of lightweight, container-based virtualization presents a unique opportunity to address these challenges by offering standardized environments on decentralized platforms. To investigate this opportunity, we implemented lightweight virtualization for three undergraduate computer science courses with a total enrollment of 188 students.

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