English Department releases · education AI watch
Portal release notes and curated education AI updates.
English Department development
Live features and resource releases on NASJX Online.
The first product and UX phase puts Student and Teacher entry paths in the first viewport, adds search and filtering for release-cleared resources, and keeps protected materials, Progression Tests and school-managed AI behind explicit readiness gates.
Open update →The refreshed 90–120 minute workshop, printable handout and public download pack replace the older 0604.ai workshop files with current privacy, review and classroom-use boundaries.
Open update →Twenty-two recovered reader/key pairs are now catalogued by source-review lane. The catalogue is public, while the old reader files remain private until title-specific provenance and publication review is complete.
Open update →The new browser-native game uses NASJX navigation, local-only progress, accessible controls and original educational prompts rather than republishing the archived HTML unchanged.
Open update →The live grammar diagnostic already provides authenticated sessions, server-side answer keys and recommendations. Progression Tests extend that foundation with frozen forms, controlled assignments and auditable teacher analysis instead of relabelling the diagnostic as a test.
Open update →Education AI watch
External research and tool updates relevant to classroom practice.
Google describes Khan Academy tools using Gemini models for adaptive visual support and teacher-controlled practice materials. NASJX tracks examples like this for product ideas, not automatic adoption.
Source: GoogleOpen source ↗Google’s education roundup highlights teacher-controlled Classroom experiences, study tools and progress visibility. The useful pattern for NASJX is controlled context and teacher oversight rather than unrestricted student chat.
Source: GoogleOpen source ↗OpenAI announced education plugins aimed at K–12 teachers, college educators and students. NASJX is watching the shift from generic prompting toward role-specific, context-aware workflows.
Source: OpenAIOpen source ↗OpenAI’s current Study mode guidance describes step-by-step questioning, practice and understanding checks rather than answer-only interaction. That pattern aligns with the guided-learning boundary planned for NASJX student AI.
Source: OpenAIOpen source ↗