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This Sage case study explores how early childhood educators developed computational thinking skills through a culture-based educational design model—amid the challenges of online learning during a global pandemic. The research highlights a structured approach using e

This article presents CryptoAgent, a novel agentic AI system designed to enhance human-computer interaction in the domain of financial security. The system integrates advanced encryption protocols with adaptive learning mechanisms to ensure secure, responsive, and context-aware interactions between users and AI-driven financial systems. By merging natural language processing with real-time threat detection, CryptoAgent exemplifies a next-generation approach to cybersecurity—prioritizing both user autonomy and system intelligence. The work contributes to emerging scholarship on agentic AI systems, particularly in high-stakes environments where trust, transparency, and adaptiveness are paramount.

This peer-reviewed article evaluates the sustainability of a Dual Language Program (DLP) implemented in a Title I public school in Baltimore, with a focus on learning outcomes and community perceptions during the COVID-19 pandemic. Using a mixed-methods approach—surveys, observations, and standardized assessments—the study revealed that despite major disruptions, DLP students showed notable academic gains, high engagement, and strong parental involvement. The findings underscore the resilience and scalability of bilingual education in urban public schools.