RM Compare for Teaching and Learning

By Mark House

Our globally recognized student feedback tool, RM Compare, has been effectively utilized in top educational institutions worldwide for several years. The Adaptive Algorithm, powered by Machine Learning, within RM Compare has demonstrated significant benefits, including:

  1. Enhanced student performance: RM Compare has been proven to improve student outcomes by providing personalized feedback and fostering a deeper understanding of the subject matter.
  2. Significant reduction in educator workload: The tool dramatically reduces the workload of teachers, lecturers, and instructors by streamlining the assessment process and reducing the time spent on grading.
  3. Support for innovative curriculum and pedagogy approaches: RM Compare encourages more authentic and diverse approaches to curriculum and pedagogy, supporting holistic assessment and diverse candidate response.
  4. Preservation of human-centered assessment: Despite its digital nature, RM Compare retains the dignity of human-centered assessment by allowing for nuanced judgement that respects the individuality of each student's work

RM Compare's Adaptive Algorithm is a testament to the transformative power of technology in education, enhancing the learning experience while preserving the human touch in assessment.

Feedback? Feedforward? Both?

RM Compare is designed to be a versatile tool, recognizing that the specific context and your expertise are key to delivering the best outcomes for your students. The system is capable of handling a diverse array of item types, which can be utilized in various educational approaches.

In a feed-forward scenario, also known as Learning by Evaluating, students engage with examples of high-quality work before they begin their own assignments. This approach equips them with implicit knowledge essential for success, by providing a clear understanding of what excellent work entails, without limiting their creative expression.

Alternatively, the feedback method allows students to review and critique each other's work, either during the process or upon completion of a unit. They can share their insights and recommendations, which can be compiled and automatically relayed back to the creators of the work.

Combining feed-forward and feedback within the same educational experience has been shown to be particularly effective, leveraging the strengths of both approaches to enhance learning outcomes