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Abstract

Research in Medical & Engineering Sciences

Learning Optimization Strategies

Submission: September 03, 2024;Published: September 23, 2024

DOI: 10.31031/RMES.2024.10.000757

ISSN: 2576-8816
Volume11 Issue 2

Abstract

In this paper, we present a comprehensive review of learning strategies based on a meta-analysis of existing literature. The study aimed to identify effective methods for long-term information retention. Results indicate that practice testing and distributed practice are the most effective strategies, with moderate effectiveness for elaborated interrogation, self-explanation, and multimodal training. Other methods, such as creating outlines, underlining, and rereading, demonstrated lower effectiveness. We also highlight the importance of teacher involvement in promoting effective learning styles.

Keywords:Artificial intelligence systems; Mnemonic formulas; Human species

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