Farhod Nishonov
Adapting pedagogical strategies to meet individual learning needs has become an imperative in modern education, particularly in fields such as economics, where diverse learner profiles present unique challenges and opportunities. This paper presents a comprehensive methodological framework for tailoring economics curricula to accommodate individual learning preferences, cognitive capacities, and prior knowledge. Drawing upon constructivist theories of education, differentiated instruction, and advancements in learning analytics, the framework integrates quantitative and qualitative approaches to curriculum design. It begins with learner profiling, using diagnostic tools to assess prior knowledge, preferred learning styles, and skill gaps. Subsequently, it incorporates adaptive learning technologies and modular course structures to provide personalized learning pathways. Central to the methodology is the iterative feedback loop, where real-time performance data is used to refine instructional strategies and content delivery. The framework is validated through a mixed-methods evaluation in multiple economics education contexts, showcasing its potential to improve learner engagement, comprehension, and academic outcomes. By emphasizing flexibility and inclusivity, this approach not only aligns with the principles of equity in education but also addresses the growing demand for customization in higher education. This paper aims to serve as a foundational guide for educators, curriculum designers, and policymakers striving to optimize economics education for diverse learners.
