Ever wanted a single, fair number to sum up how good something is? RM Compare gives each item a Parameter Value—for this blog, think of it as its Official Rating, just like a racehorse at the track.
Learning for a machine is not the same as it is for a human - conflating the two is problematic but all too common. The same is true for Intelligence. With our new Interactive report you can now see how the RM Compare Machine learns.
If you’re old enough to remember the classic Wendy’s commercial, you’ll recall the irreverent demand: “Where’s the beef?” In education technology today, with all the sizzle around AI-powered assessment and automation, the same question applies. Are we seeing deeper learning—or just more output with less substance?
As artificial intelligence (AI) and large language models (LLMs) revolutionise learning and work, evaluative judgement—the capability to decide what “good” really means—has never been more important. RM Compare is at the heart of this movement, guiding educators, students, assessors, and designers to thrive in an AI-rich future.
Putting users in control of their data is a fundamental principle behind how we build RM Compare - it is part of the over-arching approach of building data protection by design and default. At its heart RM Compare is a collaborative system. Our technology brings people together safely to make better decisions. As a System Creator it is important to understand the system principles, control mechanisms and key features.
RM Compare DataShare enables organisations to collaborate at any scale, with privacy and compliance built-in at every step. Your data is kept private and protected by default; nothing is ever shared unless you make the decision to do so. Our approach means you get the best of both worlds: powerful, scalable digital collaboration and ironclad data security.
Step into nearly any city in the world and chances are you’ll find a “hipster coffee shop” with familiar elements: white walls, subway tiles, massive wood tables, plenty of plants, and a cappuccino with elaborate latte art. This isn’t a global chain at work, but the subtle hand of algorithms and online platforms shaping what success looks like and nudging independents, often unconsciously, toward conformity.
The conversation around curriculum reform is picking up pace across the UK and globally. From government reviews to international frameworks, there’s a growing recognition: our education system needs to evolve to meet the future. For those of us at RM Compare, this is a clarion call—both a challenge and an extraordinary opportunity to help shape the next era of learning.
If you work in education today, you've probably felt it: a narrowing of joy and curiosity in classrooms, a relentless pressure to cover content, and a worry that we’ve lost sight of what really matters. The latest All-Party Parliamentary Group for Education (APPG) report—“The Loss of the Love of Learning” (15th July 2025) —diagnoses these symptoms with honesty and urgency.
As AI-powered marking becomes more common in education, we must confront a critical risk: the “washback” effect, where the method of assessment shapes how and what students learn. Automated essay scoring powered by AI often rewards essays that adhere closely to expected templates—clear structure, formulaic vocabulary, and standard organization—regardless of whether content is genuinely insightful or original.
The Department for Education’s new writing framework sets a bold vision for primary education in England: build confident, fluent writers through sequenced, evidence-based teaching and assessment. As schools prepare to implement these changes, RM Compare offers a powerful, research-backed assessment platform that aligns with the framework’s principles and helps every pupil succeed.
Welcome to the latest RM Compare newsletter, this time with 10 new posts to dig into.
Across industries and institutions, those responsible for recruitment and admissions are wrestling with a perfect storm: soaring application numbers, the rapid rise of AI-generated content, and the ever-present need for fairness and authenticity. The result? Recruiters and admissions teams are overwhelmed, and the risk of missing out on genuine talent has never been higher.