📳Introducing the new RM Compare Companion App
The RM Compare Companion App transforms professional judgment into a mobile-first experience. Quickly grab and add Items to your RM Compare sessions.
Blog
Featured articles
-
-
The Reliability Paradox: Why the Future of Assessment will be more Nondeterministic
In a previous post, we explored the "Three Mirrors" of assessment - the Left, Right, and Centre views that together provide a complete picture of learner performance. Today, we want to look deeper into the glass. Specifically, we want to discuss why the "Left Mirror" (Holistic Assessment) works so differently from the "Right Mirror" (Absolute Assessment), and why the future of high-stakes evaluation is becoming more nondeterministic.
-
Between Two Judges: Episode 1 - The Seoul Searcher
Welcome to a new series on the RM Compare blog. I’m Mark House. I was a PE teacher for over 25 years, which means I’ve seen every assessment fad, every "innovative" pedagogical shift, and more forgotten gym kits than I care to remember. I’ve decided to sit down with Declan Lynch - the man who invented Adaptive Comparative Judgement (ACJ) - to see if his high-tech world of algorithms and "professional judgment" can stand up to 25 years of common sense and a loud whistle.
-
Defending Epistemic Integrity in the Age of AI Assessment
Why a grade must be more than just a plausible statistic. It must be a justified belief rooted in human understanding.
-
The Confidence - Controls Gap: Why AI Assessment Is Heading for a Reckoning
Across hiring and education, AI is already deciding who gets seen, shortlisted, or passed over. Tools built on large language models can read thousands of CVs, mark essays, and sort candidates faster and cheaper than any human team. The efficiency story is compelling. The safety story is not.
-
Can Foundation Models Really Replace Human Judgement? What GPT-5.2's Launch Today Tells Us, and Why RM Compare Matters More Than Ever
Today, December 11, 2025, OpenAI launched GPT-5.2. If you've been watching the space, you might be wondering: is this it? Have we reached the point where foundation models can truly replace human judgment? The answer is still no. And understanding why is critical for anyone building assessment, hiring, or decision systems that matter.
-
The £63 Billion Question: Why "Evolution" isn't enough to solve the UK's productivity crisis
The regulator has chosen a slow path for digital assessment. The economy can’t afford to wait. Here is why the future of skills depends on Transformation, not just Substitution.
-
The Skills Imperative 2035: Why the Future of Assessment Can’t Be a Tick-Box Exercise
The latest NFER report confirms that the skills of the future - Creativity, Collaboration, and Problem Solving - are the hardest to measure. Here is how we solve that.
-
Privacy by Design: Why RM Compare Doesn't Import Student Rosters
We don't import your student rosters. We don't ingest names, IDs, or demographic data linked to assessment work. We use email addresses only where operationally necessary. This isn't a constraint we're managing around. It's a deliberate design choice. Here's why.
-
Playing Nicely with Rubrics: How RM Compare Uses Rubrics and Comparative Judgment to Improve Assessment in the AI Era
In a landscape where generative AI has eroded confidence in traditional written assessment signals, education leaders face an uncomfortable truth: the rubrics they've carefully crafted may no longer be fit for purpose on their own. Yet abandoning rubrics entirely isn't the answer.
-
The Validation Layer: Why AI Needs a Human Anchor to be Safe
We are currently living through an "Assessment Arms Race." On one side, students and job candidates are using Generative AI (like ChatGPT) to produce "perfect" essays and CVs in seconds. On the other side, institutions are rushing to buy AI marking tools to grade that work just as fast. It is a closed loop of machines grading machines. And in the middle of this loop, the human element - the actual understanding of quality - is quietly disappearing.
-
The Myth of the "Perfect Photo": Why Mobile Capture can be Fairer, Faster, and Just as Reliable
We assume that a blurry photo hides the quality of the work. We assume that if a drawing is photographed under yellow classroom lights, the examiner will think the drawing itself is yellow. We assume that Image Quality = Assessment Quality. But science suggests we are worrying about the wrong thing.
-
Why You See a Cup, but AI Sees Pixels: The "Amodal" Secret to Reliable Assessment
Look at the header image above. What do you see?