Neuroloq Shifts from Completion Tracking to Time-Aware Memory Modeling

EdTech platform Neuroloq shipped four interconnected updates on March 15, 2026, replacing simple course-completion flags with a time-aware learner memory system. The changes include forgetting curve modeling, knowledge stability scoring, adaptive curriculum recommendations, and shared learner context across browser and phone sessions. The core idea is that a completed lesson does not guarantee retained knowledge, so the system now tracks how much a concept has likely decayed since the last successful retrieval. Decay and stability scores are computed per concept and fed into a planning loop that decides whether a learner should review fading material or advance to new content. The architecture organizes memory updates around individual concepts rather than pages, requiring all study surfaces — lessons, drills, flashcards, and voice — to report which idea was actually practiced.