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Enterprise AI Analysis: SHIELD: A Framework for Online Conversational Al System for Self-Regulated Learning at Emergency Communications Centers

Enterprise AI Analysis

SHIELD: A Framework for Online Conversational AI System for Self-Regulated Learning at Emergency Communications Centers

Authors: Ramya Sreekanta Nayaka, Ritesh Somashekar, Kathryn B. Laskey, Linton Wells II, Hemant Purohit (George Mason University)

Publication: WSDM '26: The Nineteenth ACM International Conference on Web Search and Data Mining (February 22-26, 2026, Boise, ID, USA)

Executive Impact at a Glance

The SHIELD framework addresses critical training challenges in high-stakes environments like 9-1-1 call centers. By integrating conversational AI with Self-Regulated Learning (SRL) principles, it provides scalable, adaptive, and data-driven training, transforming how trainees develop essential skills and metacognitive awareness.

0% Estimated Training Time Reduction
0% Enhanced Trainee Engagement
0% Improved Decision-Making Accuracy

Deep Analysis & Enterprise Applications

Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.

Calculate Your Potential AI ROI

See how SHIELD's principles could translate into tangible benefits for your organization.

Estimated Annual Savings $0
Annual Training Hours Reclaimed 0

Your AI Implementation Roadmap

A typical phased approach to integrate the SHIELD framework into your enterprise operations.

Discovery & Strategy Alignment

Initial assessment of current training needs, system requirements, and integration points. Define KPIs and success metrics for a tailored SHIELD deployment. (Typically 2-4 Weeks)

Platform Customization & Integration

Configuration of SHIELD to match your organization's specific scenarios, data sources, and learning objectives. Integration with existing LMS or communication systems. (Typically 6-10 Weeks)

Pilot Deployment & User Training

Rollout to a pilot group of trainees and instructors for testing and feedback. Comprehensive training sessions for administrators and users. (Typically 3-5 Weeks)

Full-Scale Rollout & Continuous Optimization

Expand SHIELD access across the organization, monitor performance, gather ongoing feedback, and iterate on scenarios and adaptive learning paths for sustained improvement. (Ongoing)

Ready to Transform Your Training?

Leverage cutting-edge conversational AI and self-regulated learning principles to build a more effective and scalable training program.

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