CUMULATIVE REPETITIVE LEARNING MODEL

The Cumulative Repetitive Learning Model (CRLM) explores a novel approach to learning that draws inspiration from the concept of cumulative addition in statistics. In this model, learning is viewed as a sequential process of gradually increasing knowledge through repetitive practice and review. Similar to the cumulative frequency in statistics, where numbers are successively added to create a running total, the CRLM emphasizes the repeated accumulation of learning experiences and information. By incorporating cumulative repetition into the learning process, the CRLM aims to enhance knowledge acquisition and retention. Learners engage in iterative practice, revisiting and reinforcing key concepts and skills at increasing levels of complexity. This approach promotes deeper understanding, as each repetition builds upon previous knowledge, leading to a cumulative expansion of expertise. The CRLM acknowledges the value of distributed practice, spacing out learning sessions over time to optimize long-term retention. By systematically repeating and reviewing material, the model capitalizes on the benefits of retrieval practice and active engagement, facilitating the encoding of information into long-term memory. Through the exploration of the CRLM, this research seeks to uncover the potential advantages and mechanisms behind cumulative learning. By investigating the effects of repetitive accumulation on learning outcomes, the study aims to provide insights into optimal learning strategies and instructional design. The findings from this research may have implications for educators, learners, and curriculum developers, informing the development of more effective and efficient learning approaches. In conclusion, the Cumulative Repetitive Learning Model offers a fresh perspective on learning, emphasizing the power of cumulative repetition in knowledge acquisition. By investigating the impact of cumulative learning on educational outcomes, this research contributes to the broa