2024
DOI: 10.1038/s41598-024-77122-1
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Optimizing cognitive load and learning adaptability with adaptive microlearning for in-service personnel

Bo Zhu,
Kien Tsong Chau,
Nur Azlina Mohamed Mokmin

Abstract: Adaptive microlearning has emerged as a crucial approach for enhancing the working skills of in-service personnel. This study introduces the design and development of an innovative adaptive microlearning (AML) system and investigates its effectiveness compared to a conventional microlearning (CML) system. The main distinguishing feature of an AML system from a CML system is its adaptive features that tailor the learning experience to individual needs, including personalized content delivery, real-time feedback… Show more

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