Endang Suryawati

Work place: Research Center for Artificial Intelligence and Cyber Security, National Research and Innovation Agency, Bandung, Indonesia

E-mail: enda029@brin.go.id

Website: https://orcid.org/0000-0001-9254-095X

Research Interests:

Biography

Endang Suryawati graduated from her bachelor’s degree at Computer Science, ST. INTEN Bandung in 2006. She got her master’s degree in 2016 at the School of Electrical and Informatics Engineering, Bandung Institute of Technology. Currently, she works at the Research Center for Artificial Intelligent and cyber security, National Agency of Research and Innovation (BRIN, Indonesia). Her research interests are artificial intelligent, deep learning, transformers, and Multimodal Large Language Models especially in image to text captioning.

Author Articles
Integrating Question Answering Technology into E-Health Education: A Computer-Supported Learning Approach

By Wiwin Suwarningsih Nuryani Endang Suryawati

DOI: https://doi.org/10.5815/ijmecs.2026.04.11, Pub. Date: 8 Aug. 2026

This study examines the integration of Question Answering (QA) technology into e-health education using scaffold method to address stunting prevention and understanding of early childhood nutrition in Indonesia. The research developed a computer-supported learning platform that combines adaptive QA systems with structured scaffolding techniques to support maternal knowledge development and informed nutrition practices. Data was collected from Indonesian stunting education programs and nutrition improvement initiatives targeting children under five years old. The platform implemented progressive learning modules that provided real-time responses to user queries while offering contextual support through scaffolded feedback mechanisms. Knowledge improvement was evaluated using a pre-test and post-test design administered before and after system interaction, with a follow-up assessment conducted four weeks later to measure retention. Results demonstrated improvements in knowledge retention scores (mean increase of 42%) and understanding of nutrition guidelines among participating mothers. The QA system helped clarify common misconceptions about complementary feeding practices while maintaining engagement through personalized learning paths. These findings indicate that scaffolded QA technology has potential as a supportive tool for e-health education in resource-limited settings, although broader implementation and long-term impact require further investigation.

[...] Read more.
Other Articles