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I used AI to develop this syllabus as part of a structured, self-directed study of behavioral economics. Rather than passively consuming information, I approached the process as an iterative collaboration—organizing a coherent learning framework, generating discussion prompts, and designing activities that reinforce applied understanding. This syllabus serves not only as the curated roadmap for my exploration, but also as a reflection of how I critically engage with complex topics through synthesis, exploration, and active learning.
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This self-guided course will provide a comprehensive understanding of behavioral economics, starting from fundamental concepts and advancing to expert-level knowledge. Learners will explore how psychology affects economic decisions and how these insights can be applied to real-world situations.