Mock Exam Season: AI Revision Support
November 6, 2025
Mock season often fails for predictable reasons: revision plans are unrealistic, practice is too passive, feedback arrives too late, and stress rises at home. This article outlines a “Revision Ops” system for Year 11/13 that uses AI in a tightly bounded way: generating retrieval practice only from teacher-approved materials, building a doable timetable with protected rest, and running a simple check-in loop with parents/carers. The aim is not to create an AI tutor, but to scale the routines that make revision effective, fair, and integrity-safe.
Gy25 and LGR22: Sweden’s double curriculum reform
August 15, 2025
Sweden’s Years 7–9 teachers are being asked to hold two truths at once: keep LGR22 teaching steady, while preparing pupils for Gy25’s ämnesbetyg in upper secondary. This classroom-first guide explains what sits where in 2025–26, what changes in grading philosophy, and what you can shift now without rewriting schemes. Using one 8-lesson argumentative writing unit, it shows how “late improvement counts” can become a normal learning loop through feedback, evidence collection, and pupil habits that travel smoothly into Gy25.
UK Results-Season AI Playbook
August 4, 2025
Results season can feel like a rush of numbers, narratives and urgent decisions. This playbook shows departments and SLT how to use AI to turn GCSE and A-level outcomes into actionable teaching priorities—without feeding pupil-identifiable data into tools. You’ll see what to export (and what to strip out), how to spot cohort and subgroup patterns safely, and how to translate question-level weaknesses into reteach sequences, retrieval and targeted practice. It also includes a simple governance checklist and sign-off chain.
End-of-Year Reporting in LGR22 with AI
June 16, 2025
End-of-year reporting under LGR22 can feel like a sprint: you must turn months of everyday evidence into defensible skriftliga omdömen and, from Åk 6, grades that are transparent and fair. This article sets out a Sweden-specific pipeline using a four-tool workflow—Development Talk (Student) → Summariser → Student Communication → Parent Communication—so you write less, but justify more. You’ll see workload maths, moderation checkpoints, and fully worked examples for Åk 2, Åk 4 maths, Åk 6 first grades, and Åk 8 chemistry.
AI and LGR22 Assessment: Fair, Aligned Tests
March 14, 2025
LGR22 assessment asks teachers to make holistic judgements from evidence gathered over time, yet pre-test season can push us towards “one big test” decisions. This article offers a practical, teacher-in-the-loop workflow for turning pasted betygskriterier into fair, curriculum-aligned assessments using AI. You’ll see how to build E/C/A-targeted questions, generate three-tier model answers, and add justification checklists that keep grading anchored in the criteria. We also share a light portfolio plan so no single test carries the whole grade.
Redefining Originality: Assessment in 2024
September 25, 2024
As generative AI becomes a normal part of students’ lives, traditional ideas of “original work” are under pressure. Instead of trying to catch AI-assisted cheating, teachers can redesign assessments so that authentic process, personal voice and contextualised evidence matter more than the final product. This article offers a practical playbook for reworking existing tasks into “originality by design” assessments, with concrete examples, rubrics and classroom routines. You will find strategies that make AI a transparent, bounded part of learning, rather than something to fear or detect.
AI Marking at Scale: Lessons from Universities
August 22, 2024
Universities have been early adopters of AI-assisted marking, moving beyond hype to build practical systems that work at scale. This article distils what they have actually done – from moderation models, calibration routines and governance structures to student communication and union engagement – and translates those lessons into realistic workflows for schools. You will find concrete examples of AI-ready rubrics, feedback templates and phased roll-out plans that fit within existing assessment systems, while respecting exam-board rules, safeguarding and data protection requirements.
National Tests and LGR22: Skill Sprints
May 14, 2024
Nationella prov can be a helpful checkpoint, but they should not drive day-to-day teaching. This article sets out an LGR22-first preparation model for Years 3, 6 and 9 that builds transferable reading stamina, mathematical reasoning, and higher-quality written responses without past-paper drilling. You’ll use short, low-stakes “skill sprints” two or three times a week, supported by four small AI micro-tools that generate mixed retrieval practice, 1,000-word expository reading sets, percentage and proportionality word problems, and E/C/A exemplars for moderation and feedback.
LGR22 grading criteria: AI model answers
February 14, 2024
LGR22’s E/C/A descriptors are intentionally holistic, which can make moderation feel slippery and subjective. This article offers a moderation-first workflow that uses AI to translate the qualitative language of LGR22 into “observable evidence” without sliding back into LGR11-style tick-box marking. You’ll get three fully worked exemplars you can copy and adapt: History model answers with justification notes, a Chemistry question set that climbs from recall to analysis, and a responsible “difficulty adjuster” method that steps an A-level response down to C then E with a clear change log.