Cortex

Product or Programme · All products and programmes
Evidence · 3 claims (3 for) · 2 studies (1 causal, 1 design), q2 · 1 of 2 report an effect size · 3 claims rest on one study

Description

Cortex is a proprietary platform developed by Cortex Global that uses handwritten-response recognition and mark-scheme-aligned automated grading to assess complex upper-secondary STEM answers and provide annotated feedback.

Components

• Cortex automated handwritten STEM assessment marking platform: Cortex is a proprietary automated grading platform for complex handwritten A-Level STEM responses, combining Handwritten Text Recognition fine-tuned on "complex mathematical notation, chemical structures, and physical diagrams" with deterministic mark-scheme-aligned evaluation. It operates through educator, student, and administrator portals; students handwrite solutions on paper, photograph and upload them, and receive grades with granular marginalia within 2 hours. Its defining feature is deterministic Error Carried Forward logic that docks method marks for early errors while awarding ECF marks for valid subsequent logic. (Matey Yordanov et al. (2026))

Claims

• Automated marking reduced assessment turnaround from 11.2 days to 0.1 days and enabled intervention students to complete 4.1 times the practice volume of controls [+M]
• Step-by-step automated annotations accelerated correction of procedural misconceptions, with intervention students rectifying fundamental errors weeks before control peers [+M]
• AI total scores correlate strongly with official human scores on handwritten physics assessments (r = 0.91–0.97 in Round I; 0.93–0.96 in Round II) [+W]

Related Products and Programmes

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Key Sources

• Matey Yordanov, Mikhail Bychkov, and Andrei Kuchma. (2026). The Effect of High-Frequency, Automatically-marked Formative Assessments on Student Outcomes in A-Level Sciences. https://arxiv.org/abs/2607.23566

Page metadata

Field	Value
type	product
id	cortex
title	Cortex
description	Cortex is a proprietary platform developed by Cortex Global that uses handwritten-response recognition and mark-scheme-aligned automated grading to assess complex upper-secondary STEM answers and provide annotated feedback.
status	review
product_kind	software
generated	by process:settle-candidates on 2026-10-10
trust	unverified — no one has confirmed this page's content

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