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• ACJ in Action: What Recent (2025) Research Reveals About Reliable Writing Assessment

• Human Expertise Remains Crucial in Educational Assessment: Insights from Recent AI Research

  A recent trial conducted by the Australian Securities and Investments Commission (ASIC) found that AI performed significantly worse than humans in summarizing complex documents. At RM Compare, we see these findings not as a setback, but as an opportunity to reinforce our commitment to human-centric assessment solutions.

• Research: Using RM Compare to understand cross-cultural differences in value perception

  Research: Using RM Compare to understand cross-cultural differences in value perception

• Turning Research into Action: The OODA Loop at the Heart of RM Compare’s Innovation

  Innovation isn’t a straight line - it’s a dynamic cycle. In the world of assessment and technology, nobody grasped this better than John Boyd, the US Air Force Colonel and visionary strategist behind the OODA loop. Boyd’s model - Observe, Orient, Decide, Act - was developed to help fighter pilots out-think and out-manoeuvre their opponents. Over time, it became a blueprint for learning organisations everywhere: success comes from cycling through these stages faster and smarter

• Fewer Comparisons, Higher Bar: What the Latest ACJ Research Means for RM Compare Users

  Recent research invites us to rethink that picture, not because ACJ has become less trustworthy, but because we can aim higher on reliability while asking judges to do less work. For RM Compare users, that is good news: it supports designing sessions that are both more efficient and more defensible.

• RM Compare as the Gold Standard Validation Layer: Recent Sector Research and Regulatory Evidence

  As artificial intelligence rapidly transforms educational assessment, the need for validated and transparent marking systems has never been greater. Throughout our RM Compare blog series, we have explored profound shifts in how value, quality, and fairness are understood and safeguarded in the age of automation. Research conducted in 2025—by both regulators and independent scholars—now underpins every step of this journey, providing evidence that RM Compare delivers a true “Gold Standard” for continuous validation and trust.

• Beyond the Black Box: What New 2026 Research Teaches Us About Validating AI Assessment

  As artificial intelligence and Large Language Models (LLMs) become deeply embedded in global education, a central question looms over the industry: Can we truly trust AI to act as an autonomous judge of quality?

• Research: Harnessing Peer Evaluation in Design Thinking - A Dive into Adaptive Comparative Judgement in HE

  In the realm of design education, where creativity and innovation are paramount, assessing student work poses unique challenges. Traditional grading methods often struggle to capture the essence of students' creative output. Enter Adaptive Comparative Judgement (ACJ), a dynamic assessment method that promises a more nuanced approach.

• Research: Unveiling the Potential of Peer Assessment in Mathematics Through Adaptive Comparative Judgement in HE

  Peer assessment has long been a valuable tool in the educational toolkit, offering students the chance to engage with the grading process and learn from their peers. But what happens when we strip away the traditional assessment criteria and dive into the world of comparative judgement?

• Using Comparative Judgement to keep exam grades fair when tests change (OFQUAL Research report 2025)

  Every year, exams change. New papers are written, formats evolve, and sometimes whole qualifications are refreshed. Yet everyone from students, parents, teachers and universities still expects one simple promise to hold: a grade this year should mean the same as a grade last year.

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