HCGTApr 21

Analysis of AWW (Anganwadi Workers) Training Content, ILA (Incremental Learning Approach) Modules Following CDT (Component Display Theory)

arXiv:2604.1903260.0h-index: 3
AI Analysis

Incremental application of instructional design theory to a specific health worker training program in India.

The authors analyzed Anganwadi Worker training modules using Component Display Theory to map content types to learning objectives, and are developing a gamified Android app for refresher training. No concrete results or numbers are reported.

POSHAN Abhiyan envisages capacity building of AWWs or frontline health workers through 21 training modules of ILA (Incremental Learning Approach), modularising the net learning content into smaller learning topics to help them perform their daily activities. It envisions building skilled AWWs, strengthening supervisory hierarchies, and improving coordination between AWWs (ICDS) services and health programs to achieve common goals such as increasing awareness, improving access to health and nutrition services, and reducing deaths and malnutrition. To better understand the contents of ILA literature, we conducted a content analysis by further breaking down the modules into content types such as facts, concepts, procedures, and principles. Then we framed learning objectives for teaching AWWs. We applied CDT (Component Display Theory by David Merrill) to map the contents with the desired learning objective, following the Specification of Objective chart. In this way, one can easily develop pedagogies from a new training literature. The challenges in framing learning objectives and pedagogies are: The AWWs do not have a (formal/scientific) nutrition and epidemiology background. Therefore, it is important to teach them through examples, familiar to them. AWWs are not evenly and structurally trained across districts. Training materials should be customized based on language, location, and prior knowledge. Delayed refresher courses render them underprepared for their jobs. To overcome these problems, we are developing an Android app based on gamified learning to provide refresher training to AWWs. Conducting content analysis, framing learning objectives, and developing pedagogical approaches will help conceptualize the gamified application.

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