Teaching, tutoring, and course creation resources
Practical guidance for teachers, tutors, course creators, schools, parents, and students.
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Evaluate AI grading by evidence, rubrics, uncertainty, privacy, and teacher control
AI grading tools can reduce repetitive marking work, but the right choice depends on more than speed. Use this framework to compare response formats, rubrics, evidence, uncertainty, privacy, and teacher override before adopting a tool.

12 types of online courses you can sell—and how to choose yours
Not sure what kind of online course to sell? Here are 12 course types that reliably convert—plus a quick framework to choose the right niche, validate demand, price it, and sell it on SubSchool as a full course or even single lessons.

How Teachers Should Promote Their Social Media in 2026 (Without Feeling Like a Cringey Influencer)
With the continued growth of social media and the increasing importance of technology in education, promoting oneself as a teacher on social media is becoming increasingly important
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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.

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.

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.

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.

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.

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.

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.

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.

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.
