A Systematic Review of the Educational Implications of Artificial Intelligence: Benefits and Challenges Post -Covid-19 Pandemic
A Systematic Review of the Educational Implications of Artificial Intelligence: Benefits and Challenges Post -Covid-19 Pandemic

Summary/Abstract: The rapid integration of Artificial Intelligence (AI) into academic environments has accelerated significantly in the post-COVID-19 era. This study presents a systematic literature review (SLR)evaluating the reported pedagogical benefits and structural challenges of AI applications ineducation. Following the Preferred Reporting Items for Systematic Reviews and Meta -Analyses(PRISMA) framework guidelines, a comprehensive search was executed across major academicdatabases, targeting peer-reviewed empirical literature published between 2021 and 2026.Applying strict inclusion and exclusion criteria, a final analytical sample of twenty ( N = 20)international studies was synthesized. The thematic analysis demonstrates that while AI tools offersignificant educational benefits—such as learning personalization, enhanced language acquisition,and the automation of administrative workloads—they present critical pedagogical and ethicalchallenges. These risks focus heavily on cognitive disengagement, diminished student criticalthinking, and algorithmic data privacy vulnerabilities. This review highlights that the successfuldeployment of AI relies on balancing technological integration with robust ethical frameworks whilepreserving the central instructional responsibility of human educators.

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