Navigating complex econometric models and abstract theories often leaves students struggling to bridge the gap between textbook math and real-world application. This highlights the growing role of specialized academic mentoring, sparking a critical debate: does targeted educational support serve as essential scaffolding that builds genuine data-analysis skills, or does it risk fostering academic dependency? As university curricula become increasingly rigorous, the core question is whether these external learning frameworks genuinely empower students to master economic paradigms or if they fundamentally disrupt traditional learning.
