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<p>This longitudinal study examines whether institutional adoption of AI-supported academic systems reduces dropout in public universities in Colombia and Peru (2019–2024). Using a balanced panel of 78 institutions, we estimate effects with institution and year fixed effects, difference-in-differences with an event-study specification, and instrumental variables using regional internet infrastructure. Secondary-data reliability is strengthened through Benford’s Law diagnostics and cross-source concordance tests. Across specifications, AI adoption is associated with 2.3–3.1 percentage-point declines in institutional dropout rates, and dynamic estimates indicate effects grow after implementation. Findings inform technology investment, readiness assessment, and phased deployment strategies in resource-constrained higher education systems for policymakers.</p>

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AI-Supported Academic Systems and Dropout Reduction in Latin American Public Universities Between 2019 and 2024

  • 期刊论文

  • 发表日期：

    2026年4月22日

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  • Mario de la Puente,
  • Jose Torres,
  • Hernan Guzman,
  • Heidy Rico,
  • Daniela Navarro

摘要

This longitudinal study examines whether institutional adoption of AI-supported academic systems reduces dropout in public universities in Colombia and Peru (2019–2024). Using a balanced panel of 78 institutions, we estimate effects with institution and year fixed effects, difference-in-differences with an event-study specification, and instrumental variables using regional internet infrastructure. Secondary-data reliability is strengthened through Benford’s Law diagnostics and cross-source concordance tests. Across specifications, AI adoption is associated with 2.3–3.1 percentage-point declines in institutional dropout rates, and dynamic estimates indicate effects grow after implementation. Findings inform technology investment, readiness assessment, and phased deployment strategies in resource-constrained higher education systems for policymakers.