AI-Powered Assessment: Rethinking How We Measure Student Understanding
From automated essay scoring to continuous, embedded assessment — how AI is changing not just how we grade, but what we choose to measure.
Porttx Blog
Long-form, original writing on how AI works, and how it's reshaping teaching and learning — from the team building applied AI for real classrooms and institutions.
From automated essay scoring to continuous, embedded assessment — how AI is changing not just how we grade, but what we choose to measure.
A look inside intelligent tutoring systems — how they model a student’s knowledge, choose what to teach next, and hold a genuinely responsive dialogue.
Why one-size-fits-all instruction has always been a compromise, and how adaptive AI systems make genuinely individualized learning practical at scale.
How AI systems process images — from raw pixels to recognizing objects, faces, and handwriting — and where computer vision is already quietly at work in classrooms.
Demystifying large language models — how they are trained, why they predict text one piece at a time, and what "generative AI" really means in practice.
From tokenization to attention mechanisms — a look at the field of NLP and how machines went from barely parsing sentences to writing fluent, coherent text.
How artificial neural networks are structured, why "deep" learning changed everything, and what actually happens inside a model when it makes a prediction.
A grounded look at how machine learning actually works — from labeled examples and training loops to the difference between supervised, unsupervised, and reinforcement learning.
A plain-language walkthrough of what AI actually is, the difference between narrow and general intelligence, and why the term gets so easily misused.