CYMar 10

Systematic Review of Academic Procrastination Interventions in Computing Higher Education

arXiv:2604.0324816.5h-index: 7
AI Analysis

This review addresses the problem of academic procrastination for computing educators by synthesizing fragmented evidence, but it is incremental as it consolidates existing studies without introducing new methods.

The authors conducted a systematic review of interventions to reduce academic procrastination among computing students, finding that structured and supportive designs consistently promote earlier starts and distributed work, leading to performance gains, with benefits varying by task type.

Academic procrastination is a persistent challenge in computing education, yet evidence on the effectiveness of course-level interventions remains fragmented across diverse designs and contexts. We present a systematic literature review of studies published in the past decade that empirically examine interventions to reduce academic procrastination among post-secondary computing students. Evidence from 19 articles examines interventions that target procrastination through structural, feedback-based, motivational, and self-regulatory mechanisms. Our findings suggest that interventions introducing clear temporal structure consistently promote earlier starts and more distributed work, which act as key mediators of performance gains. The magnitude of these gains depends strongly on task structure, with greater benefits for long-horizon, multi-step assignments than for short, routine tasks. Moreover, supportive designs reliably outperform punitive or restrictive schemes, while uniform interventions yield uneven benefits across students. This review highlights the importance of designing structured, supportive, and personalized interventions to address procrastination in computing education.

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