PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
April 27, 20260 citationsOpen Access

Climate-Resilient Education System (CRES): A Smart Low-Cost Adaptive Learning Infrastructure for Vulnerable Regions

View Full Paper
EGEmrul Mubin Gesan

Key Points

  • This work aims to develop a low-cost adaptive learning system that maintains educational access during climate disruptions in vulnerable areas.
  • Designed a modular architecture integrating environmental sensing and decision-making capabilities.
  • Emphasized affordability and local repairability for use in resource-constrained regions.
  • Created a readiness score to assess risk and adjust learning modes accordingly.
  • CRES effectively maintains continuity in education during events such as floods and heatwaves.
  • The system's offline functionality ensures access to learning despite power outages.
  • Local repairability enhances sustainability and reduces costs in vulnerable regions.

Abstract

This paper presents the Climate-Resilient Education System (CRES), an original low-cost adaptive learning infrastructure designed for vulnerable regions. The system integrates environmental sensing, decision-making, and continuity-based learning modes to maintain educational access during climate disruptions such as floods, heatwaves, and power outages. The design combines engineering logic with education policy, introducing a readiness score and modular architecture that allows schools to detect risk, switch learning modes, and preserve continuity. CRES emphasizes affordability, local repairability, and offline functionality, making it suitable for resource-constrained environments. This work is an original student research project developed for academic and scholarship purposes.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Emrul Mubin Gesan (2026) studied this question.

synapsesocial.com/papers/69eefd64fede9185760d409ahttps://doi.org/10.5281/zenodo.19760309
Ask AI
Helpful
Bookmark
Share
View Full Paper