Licence Centre Upgrades
In this short blog we will explain how upgrades to and within Licence Centres work.
In this short blog we will explain how upgrades to and within Licence Centres work.
Billionaires are building bunkers. From luxury compounds in the depths of New Zealand to secretive estates far from prying eyes, some of the world’s wealthiest are investing heavily in “doomsday” preparations, hoping to insulate themselves from whatever crisis may come next. In a world fixated on uncertainty—whether from technological disruption, planetary challenges, or the unpredictable rise of AI—future-proofing is on everyone’s agenda.
The Department of Art and Design at Utah State University’s Caine College is a dynamic community dedicated to excellence in visual art, design, and scholarship. Recognised for its nationally accredited programs, the department combines rigorous foundational study, creative innovation, and professional skill development within a supportive environment.
Don't panic!!This happens rarely (very rarely) but for good reason. Let us explain...
The landscape of language assessment is evolving rapidly, especially with the 2020 update to the Common European Framework of Reference for Languages (CEFR-CV). This update redefines intelligibility—now encompassing both actual understanding and the perceived ease of understanding—making it a more holistic and communicative measure. But how do we assess this complex construct reliably and at scale? Enter Adaptive Comparative Judgement (ACJ) and, specifically, RM Compare.
In the 9th edition of the E-Assessment Awards, RM Compare was recognised again for it's innovative approach and high quality.
In June 2025, Apple published a landmark study that has sent shockwaves through the AI and assessment communities. The research, titled The Illusion of Thinking, rigorously tested the reasoning abilities of the most advanced AI models—so-called large reasoning models (LRMs) from OpenAI, Google, Anthropic, and others—using a series of classic logic puzzles designed to scale in complexity. The findings have profound implications for how we understand AI’s capabilities, especially in the context of educational assessment.
A bumper edition with THIRTEEN new posts - that takes us to well over 200 blog posts in total. This month we are looking forward to attending the international E Assessment Awards where we are a finalist in the most innovative solution category. As part of this we have created a new Innovation blog series which we will be adding to over the coming weeks.
In the rapidly evolving world of educational assessment, efficiency and innovation are no longer just buzzwords—they’re necessities. If you’re using RM Compare, you already know the power of Adaptive Comparative Judgement for delivering robust, scalable assessment. But what if you could take your productivity and creativity to the next level? Enter the Large Language Model (LLM).
We get asked a lot of questions about RM Compare and AI - here are some of the common ones together with our responses
In today’s world of rapid technological change, the dominant narrative is that innovation should serve efficiency. “Get more done for less” is the rallying cry, especially in the age of AI, where speed, automation, and optimisation are often seen as the ultimate goals. But what if this relentless pursuit of efficiency is not just limiting, but counterproductive?
The faster we learn the quicker we can produce valuable software while maintaining the very highest quality. This understanding underpins innovation.
There may be times you will want to work with your own IT support - here are some things to consider