Interactive Charts in RM Compare Reporting
All Standard and Premium Reporting charts have powerful interactive features that allow you to interrogate your data.
All Standard and Premium Reporting charts have powerful interactive features that allow you to interrogate your data.
As educational priorities shift towards more reliable, fair, and insightful summative assessment, RM Compare is emerging as a transformative solution for both school groups and awarding bodies.
Assessment for learning (AfL) is about using assessment as a formative tool to support ongoing student development. RM Compare’s Adaptive Comparative Judgement (ACJ) technology enhances this process by embedding peer learning into assessment activities—making them more engaging, reflective, and impactful.
As digital transformation reshapes assessment, RM Compare stands out for its ability to turn assessment into a powerful learning experience.
Getting your 'stuff' into RM Compare needs to be as simple as possible. It is also important to understand as quickly as possible why things might be going wrong.
There are a number of ways to get users (Judges) into your sessions. Enhancements to the Create Multiple Users option now gives Admins even more choices and greater control in a bulk provisioning scenario.
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Assessing 'fuzzy' stuff like the 3 core competencies using traditional methods is problematic. There is another way
Underpinning RM Compare on Demand is the principle of converting ranks into rulers. Finding the most effective and efficient way of getting this done is going to take some practice.
Another exciting year lies ahead, accelerated by the arrival of new AI capabilities.
RM Compare is uniquely placed to enhance the authenticity of vocational assessment. Being able to assess 'when-ready' with RM Compare On Demand will be transformational in this sector.
AI generated content has the potential to encourage even more uses for Adaptive Comparative Judgement
The ACJ process can have several advantages over traditional approaches. One of these is time saving. However, there are concerns that this is not the case where the complexity of items is high.