AI in Education
📰ArticleAssessment & Grading

When GenAI makes answers cheap, assessment must value judgement

AI in Education Editorial•
Auto-Discovery
••Updated June 2, 2026•1 min read•Read source
When GenAI makes answers cheap, assessment must value judgement
🇬🇧UK👩‍🏫Teachers🎯Assessment🌍Global👨‍🎓Students🏛️Administrators+6 more

When GenAI makes answers cheap, assessment must value judgement Generative AI has not broken assessment; it has exposed its weaknesses. Moving beyond bans and blind adoption requires redesigning assessment to reclaim pedagogical agency and make student judgement visible University assessment and quality assurance Artificial intelligence in higher education Feature article Europe Kisito F. Nzembayie Trinity College Dublin 20 Jan 2026 Top of page Main text More on this topic image credit: iStock/Mariia Vitkovska .

Read Original Article

Analysis & Perspectives

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.

People Also Ask

What are AI assessment tools in education?▾
AI assessment tools use artificial intelligence to evaluate student work, identify learning gaps, and generate insights for teachers. Examples include AI-powered essay feedback tools (Turnitin Feedback Studio), adaptive diagnostic assessments (NWEA MAP, Renaissance), automated short-answer grading, and early-alert dashboards that flag at-risk students based on engagement patterns.
How accurate is AI grading compared to human grading?▾
For multiple-choice and structured short-answer assessments, AI grading achieves near-human accuracy. For essays and complex writing, AI feedback tools are most accurate on surface features (grammar, structure, citations) and less reliable on evaluating argument quality, creative originality, or cultural context. Most implementations use AI feedback alongside human review for high-stakes assessments.
What are the ethical concerns about AI assessment in schools?▾
Key concerns include algorithmic bias in grading tools that may disadvantage students from underrepresented groups, lack of transparency in how AI arrives at scores, privacy implications of detailed performance tracking, and the risk that over-reliance on AI metrics narrows what schools measure and therefore what they value in education.
How do teachers use AI assessment data?▾
Teachers use AI assessment dashboards to identify which concepts most students have not mastered, spot individual students who are struggling before problems escalate, tailor re-teaching to specific gaps rather than reteaching entire units, and allocate small-group support time efficiently by prioritizing students most likely to benefit from targeted intervention.

Related Articles

AI was ruining my college philosophy classes. So I assigned a new kind of essay.
📰 article

AI was ruining my college philosophy classes. So I assigned a new kind of essay.

Skip to main content IDEAS AI was ruining my college philosophy classes. So I assigned a new kind of essay. I couldn’t give take-home assignments anymore. Handwritten tests in class wouldn’t work either. Somehow, I needed to fill ChatGPT’s shoes. H. Hopp/Bruce/Globe Staff; Jozef Micic/Mar/Adobe Tom Kaspers is an assistant professor in philosophy at the University of Chicago. I haven’t been teaching long enough to remember those fabled days of higher education’s past, when students were engaged, literate, and sociable

Auto-Discovery·Apr 20
The AI-resistant classroom is a myth: Designing assessments that assume AI is present
📰 article

The AI-resistant classroom is a myth: Designing assessments that assume AI is present

Skip to content Share on X (Opens in new window) X Share on Facebook (Opens in new window) Facebook Share on LinkedIn (Opens in new window) LinkedIn Email a link to a friend (Opens in new window) Email Print (Opens in new window) Print Key points: An AI-ready classroom is intentional, reflective, and ethically grounded AI didn’t break homework: It exposed what was already broken New research challenges fears about AI in the classroom For more news on AI in

Auto-Discovery·Mar 12
How to create a quiz from notes in 5min with AI
📰 article

How to create a quiz from notes in 5min with AI

Back In this article New Not sure where to start? Find the right learning path for you. Go to Learning lab Tutorials Web app Web application blueprints Create a quiz from notes in 9 steps Mar 04, 2026 / Dainius K. / 5 min Read Summarize with: ChatGPT Claude.ai Google AI Grok Perplexity Share: Copy link Copied! A quiz from notes helps transform static study material into active learning.

Auto-Discovery·Mar 4