• Double Marker

  Our new assessment system combines AI-enhanced Comparative Judgment (CJ) with traditional marking against a standard mark scheme. This hybrid approach allows departments to conduct full-scale mock exams for English Language and Literature while reducing marking workload by approximately 90%. By merging CJ and AI scoring, schools receive detailed, question-level data and pupil feedback without the traditional administrative burden.Featured

• AI-enhanced CJ or Double Marker?

  Understanding Your Assessment Options: AI-Enhanced Comparative Judgement vs. Double Marker At No More Marking, we leverage cutting-edge technology to reduce teacher workload while maintaining high assessment standards. If you are exploring our solutions, you might be wondering about the difference between our foundational AI-Enhanced Comparative Judgement (CJ) and our new Double Marker system. While both use artificial intelligence to streamline marking, they are designed for differenFeatured

• Double Marker: CSV format

  To get your school set up smoothly, we need a CSV or Excel export of your student data. This page outlines the exact columns we need and how to format your files for a successful upload. Your file should be saved as a standard spreadsheet (like a CSV or Excel file) with the following headers in the top row.Few readers

• Double Marker: Marking Interface

  1. Access and Login To access marking, paste your marking link into a browser. Enter your email address and click continue to open the marking screen. 2. Interface Overview and Navigation Scripts are displayed in a scrollable view. You will see your assignment eg. 10 scripts from a total of 205 pupils. You can click anywhere on the interface to jump to specific questions (e.g., question 2). The system allows you to navigate thrFew readers

• Double Marker: Validation Guide: AI & Human Marking Alignment

  To ensure our marking is robust and reliable, we don’t just look for "exact matches"—we look for Expert Alignment. In subjective subjects like English Language, even two highly experienced human examiners will rarely give the exact same mark. Our system uses a research-backed Tolerance Model to validate that our AI and human markers are operating within the "Professional Zone of Agreement." The Science: The Ofqual Consistency Study Our tolerances aren't arbitrary. They are rooted in tFew readers