SubSchool journal

Teaching, tutoring, and course creation resources

Practical guidance for teachers, tutors, course creators, schools, parents, and students.

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Teacher comparing a fast high-volume AI workflow with a more detailed workflow for course planning and feedback.
AI for teachers

Fast Model or Stronger Model? Choose the Right AI Model for Each Educational Task

AI model selection in education is less about finding one “best” model and more about matching capability to the teaching task. Use faster models for repeatable, high-volume work and stronger models where course structure, nuanced feedback, or assessment judgement needs more careful reasoning.

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A teacher reviews an organised digital teaching workspace connecting lesson plans, learning objectives, learner notes, feedback, and resources.
AI for teachers

How Teachers Can Use AI Without Moving Their Workflow into a Chat Window

An effective AI workflow for teachers does not have to begin and end with a blank chat prompt. By organising teaching work around structured entities, durable context, persistence, and human review, educators can use AI while keeping professional judgement at the centre.

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Teacher reviewing a digital lesson plan with a checklist and highlighted answer key at a classroom desk.
AI for teachers

AI Hallucinations in Education: Pre-Publication Tests Teachers Should Run

AI-generated lessons, explanations, and feedback can sound confident while containing errors, invented details, or poor instructional choices. Use these practical checks before sharing AI-assisted materials with learners.

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A teacher reviewing an AI privacy checklist beside a laptop and anonymised student work documents, with a small lock symbol in a classroom workspace.
AI for teachers

Student Data Privacy for AI Teaching Tools: A Practical Teacher Checklist

AI teaching tools can reduce repetitive work, but they also create new decisions about what student information is shared, who can access it, and how long it remains available. Use this checklist to ask better questions before adopting an AI tool in a classroom, tutoring practice, or education business.

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Illustration of a teacher balancing assessment criteria cards beside symbols for an essay, interview, presentation, and problem-solving task.
AI for teachers

How to Weight Assessment Criteria Without Making the Rubric Arbitrary

Rubric criteria weights should reflect the most important learning goals, not what happens to be easiest to score. Use this practical process and four worked examples to create more defensible rubrics for essays, interviews, presentations, and problem-solving tasks.

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An educator organising video recordings into connected course modules with lesson cards and practice materials on a large screen.
AI for teachers

How to Turn a Video Library into an Online Course

A practical video-to-course workflow for teachers, tutors, and education businesses: transcribe existing recordings, group them into lessons, define outcomes, find gaps, add homework, and prepare a clear launch.

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An educator reorganises pages from a PDF into connected lesson cards and practice activities on a desk.
AI for teachers

How to Turn a PDF into a Course Without Copying the Table of Contents

A useful course is not a PDF split into chapters. Learn how to restructure source material around outcomes, prerequisites, pacing, explanations, and practice—while retaining teacher judgment at every stage.

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A teacher uses a laptop showing a paused lesson video while arranging question cards, homework sheets, and revision notes on a desk.
AI for teachers

How to Turn a YouTube Lesson into Questions, Homework, and Revision Tasks

A practical workflow for turning a YouTube lesson into teachable questions, homework, and revision activities without losing accuracy or teacher judgment. Use the video as a source, review every output, and handle copyright and access decisions carefully.

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Teacher reviewing learner performance patterns on a laptop while students work on different appropriately challenging learning activities.
AI for teachers

Use AI Differentiated Instruction to Turn Performance Patterns Into Clear Next Steps

AI differentiated instruction becomes more useful when teachers convert learner performance patterns into explicit rules for the next task. This practical framework helps teachers, tutors, and education businesses use AI to support consistent decisions while keeping professional judgment in control.

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