: New essays are analyzed for these same features—known as "proxies"—and a score is calculated using the established statistical model. Key Analytical Features
: Due to the limited computing power of the era, the system remained largely theoretical until the mid-1980s. : New essays are analyzed for these same
: In the 1990s, as computerization became feasible, PEG was used for large-scale testing programs like the GRE and NAEP . Today, it is managed by Measurement Inc. and powers platforms like ERB Writing Practice . How the Algorithm Works Today, it is managed by Measurement Inc
PEG operates on the principle that "good writing can be predicted" by analyzing specific linguistic features. The system uses a two-stage process: The system uses a two-stage process: Project Essay
Project Essay Grade (PEG) is a historic milestone in the field of educational technology, representing the first major attempt to automate the evaluation of student writing. Developed in the 1960s by Dr. Ellis Batten Page, PEG laid the groundwork for modern automated essay scoring (AES) by demonstrating that computers could analyze prose with a level of reliability comparable to human graders. The Evolution of PEG
: Dr. Page, a former high school English teacher, conceived PEG to help educators manage the overwhelming workload of grading. The first version was born at the University of Connecticut in 1964.