Ruiyang Zhang (2026) — arXiv:2607.25096 (cs.HC)
Summary
Presents Memdora, a cross-platform AI spaced repetition system that addresses limitations of binary flip-and-rate flashcard interactions. Grounded in cognitive science evidence on retrieval practice, it enables richer interaction patterns and reduces context-switching by generating flashcards from reading material. Demonstrates improved retention compared to traditional SRS tools.
The work connects to broader discussions in AI and education around spaced-repetition, adaptive-learning, mastery-learning, contributing to our understanding of how generative ai shapes educational practice.
Key Contributions
- Contributes empirical or theoretical advances relevant to the spaced-repetition domain
- Published in 2026, reflecting the fast-moving landscape of AI in education research
- Engages with questions of adaptive learning and mastery learning in educational contexts
Related Pages
Citation
APA: Ruiyang Zhang (2026). Memdora: Designing Cognitively-Grounded Flashcard Interactions for AI-Powered Spaced Repetition. arXiv:2607.25096. cs.HC.