Perspectives
Original analysis and insights on AI in education
How AI Grades Handwritten Math (And Where It Still Struggles)
AI grades handwritten math by reading the page with specialized handwriting recognition, then evaluating each step of a solution rather than just the final answer. Here is how that pipeline works and where it still breaks down.
What AI Grading Analytics Reveal About Learning Gaps
AI grading analytics turn a pile of scores into concept-level diagnoses, showing exactly where a class or student is stuck. Here is how educators can read that data and act on it.
What Is Smart Grading? A Guide to AI-Powered Assessment
Smart grading uses AI to mark student work and return personalized feedback in seconds. Here is how it works, where it helps teachers most, and where human judgment still has to stay in the loop.
AI Essay Grading: A Buyer’s Guide for Teachers and Schools
A practical, honest guide to choosing AI essay grading software—covering rubric alignment, accuracy, privacy, human oversight, and the questions to ask any vendor before you buy.
What Is Auto-Grading? How AI Marks Student Work in 2026
Auto-grading uses AI to read student submissions and produce scores and feedback against a rubric, then routes uncertain answers back to teachers. Here's how it works, where it's accurate, and where human judgment still matters.
Diagnostic Assessment With AI: Finding Weak Concepts Fast
Diagnostic assessment with AI pinpoints exactly which concepts a student hasn't mastered in minutes, not weeks. Here is how it works and how to use it well in real classrooms.
Formative Assessment at Scale: Personalised Feedback for Every Student
Formative assessment AI lets teachers run frequent, low-stakes checks and return concept-specific feedback to every student fast enough to change the next lesson. Here is how it works, where it helps, and what to watch for.
AI Assessment Tools: A Practical Guide for Educators (2026)
A clear, balanced guide to AI assessment tools for teachers and school leaders: what they do, the four main types, how to evaluate them, and where human judgment still matters.
Adaptive Testing: How AI Personalises Assessment
Adaptive testing uses AI to adjust question difficulty in real time, so each student gets a test tailored to their level. Here is how it works and what it means for your classroom.
Concept Mastery Tracking: Turning Grades Into Next Steps
Concept mastery tracking follows whether a student truly understands each idea across many tests, not just their score on one. Here is how it works and how to turn it into a teaching plan.
The Future of AI Grading: Trends Reshaping Assessment
AI grading is shifting from simple answer-matching toward multimodal, adaptive, and feedback-driven systems. Here are the trends educators should watch and what they actually mean for the classroom.
NEP 2020 and AI: Supporting Competency-Based Assessment
NEP 2020 asks Indian schools to measure understanding and skills instead of recall. Here is how AI can support competency-based assessment without replacing teacher judgment.