Learning Center
Plain-English explainers: how AI detection works, the types of AI, key definitions, and common misconceptions.
A Teacher's Guide to Google Docs Add-Ons and Extensions
A plain-English guide to Google Docs add-ons and extensions: what they are, how they work, the types worth knowing, and how to install and manage them safely in a school.
AI Detection Granularity: From Whole Documents Down to Single Sentences
A plain-English guide to how AI detection works at different levels of granularity, from document and paragraph scores down to sentence and token analysis, and what each one can and cannot tell you.
AI Detection Tools and Techniques: How They Actually Work
A plain-English guide to how AI text detectors work, the main techniques they use, model-specific detectors like Gemini detectors, and where they fall short.
AI Detection Tools in Education: How They Work and How to Use Them Well
A plain-English guide to what AI writing detectors are, how they work, the main types, and how teachers, students, and parents can use them responsibly.
AI Language Models, Explained: What They Generate, What Detects Them, and What Comes Next
A plain-English guide to how AI language models work, what they can and cannot do, and how detection fits in, written for teachers, administrators, and parents.
AI-Powered Originality Checks: How They Work and How to Troubleshoot Them
A plain-English guide to AI-powered originality checks: what they measure, how they work, the real benefits for creators, and how to troubleshoot confusing results.
ChatGPT Detection, Explained: How Tools Decide Whether AI Wrote It
A plain-English guide to how ChatGPT detection actually works, what the scores mean, why detectors disagree, and how teachers should read the results.
How a Plagiarism Checker Integrates With Moodle: Setup, Usage, and Data Sync Explained
A plain-English guide to how plagiarism and AI-detection tools plug into Moodle, what gets synced, how to set it up, and which terms actually matter.
How AI Text Detection Works Across Languages
A plain-English guide to how AI-writing detectors work, why they behave differently in Japanese, Chinese, Spanish, and other languages, and how to read their results.
How Authorship Verification Works: Tracing the Origins of Digital Content
A plain-English guide to authorship verification: stylometry, metadata, content provenance, and digital fingerprinting, and what each technique can and cannot prove about who wrote something.
How Canvas Detects Plagiarism: Features, Policies, and the Gaps You Should Know
A plain-English guide to how plagiarism detection works inside Canvas LMS: Turnitin and SpeedGrader integrations, originality reports, what Canvas does and does not catch, and how teachers actually use it.
How Canvas Integrations Work: A Practical Guide for Schools
A plain-English guide to how LTI integrations connect tools like a plagiarism checker to Canvas, how to set one up, and the best practices that keep it reliable.
How Document Verification Works, and What Goes Wrong
A plain-English guide to how a plagiarism and AI check actually processes a document, why a file sometimes fails to verify, and how teachers can fix it.
How GPT "Humanizing" Techniques Actually Work
A plain-English breakdown of the techniques used to make GPT output read like human writing, why they work, and what they mean for educators.
How Plagiarism Checks Work in Brightspace: A Plain-English Guide for Students, Instructors, and Admins
A clear walkthrough of how assignment submissions and originality checks actually work inside Brightspace (D2L), from the student dropbox to instructor review to admin setup.
Invisible Characters and Homoglyphs: How Text Gets Quietly Manipulated
A plain-English explainer on zero-width characters, homoglyph swaps, and other invisible Unicode tricks used to manipulate text and dodge detection, plus how schools can catch them.
Student Plagiarism Explained: Causes, Detection, Prevention, and Consequences
A plain-English guide for educators on what student plagiarism is, why it happens, how teachers detect it, how to prevent it, and what the consequences actually are.
What Is an AI Humanizer? How They Work, What They Promise, and Where They Fall Short
A plain-English explainer on AI humanizers: what they are, how the rewriting actually works, what they can and cannot do, and what they mean for schools.
Why AI Writing Tools Have Length Requirements (And How to Work With Them)
Why AI detectors and writing tools demand a minimum word count, what happens to accuracy on short text, and practical best practices for teachers submitting student work.