FlashLearn: A Unified Mobile Architecture Integrating Spaced Repetition, AI Content Generation, And Gamification For Scalable Educational Technology

13 Nov

Authors: Rajiv Y. Barad, Mahek Chothani, Rohan Yadav, Professor Anand Jawdekar

Abstract: Educational technology platforms continue to strug- gle with three fundamental barriers: rapid knowledge decay following Ebbinghaus’s forgetting patterns, labor-intensive con- tent creation processes, and insufficient motivation mechanisms for sustained engagement. We present FlashLearn, a mobile- first learning platform that uniquely synthesizes scientifically- validated spaced repetition scheduling, Large Language Model- powered flashcard generation, and evidence-based gamification within a serverless architecture. Our architectural innovation lies in the seamless integration of these traditionally separate components, creating synergistic effects that exceed individual component performance. Controlled evaluation with 25 university participants demonstrates transformative improvements: session completion rates increased 65% (45% to 75%), daily study consistency improved 456% (2.3 to 12.8 days), and content creation efficiency gained 93% time reduction (45 to 3 minutes per deck) while maintaining 87% expert-validated accuracy. The Firebase-based serverless implementation achieves 40% lower energy consumption compared to traditional hosting while elimi- nating paper-based materials (500 sheets annually per user). This research contributes the first validated framework demonstrat- ing that integrated educational technology can simultaneously address retention, accessibility, and sustainability challenges in digital learning environments.

DOI: https://doi.org/10.5281/zenodo.17596921