The integration of Artificial Intelligence (AI) into standardized test preparation has revolutionized the study landscape, offering personalized feedback and adaptive learning modules. However, the emergence of "shortcut-centric" tools—colloquially referred to as "QuackPrep" methodologies—raises concerns regarding long-term knowledge retention and academic integrity. This paper examines the efficacy of AI-driven study aids, contrasting algorithmic efficiency with traditional pedagogical depth. Through a comparative analysis of learning outcomes, this study argues that while AI tools provide significant short-term score improvements, they risk fostering a dependency on heuristic processing over critical thinking skills.
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