Automated Domain Specific Essay Scoring

Blees AI is an educational innovator who believe in transforming and improving the teaching experience and in turn positively impact students learning and maximize their potential. The goal of this project and the company is to provide a complete version of the software platform to the educators to assist their essay grading. Blees AI’s client a large certification body representing a Canadian profession experienced 84% scoring accuracy, 13x faster scoring results, and a 60% cost reduction opportunity by applying its technology. The company automates the process of grading students’ essays and instantly provides consistent and personalized feedback at scale. Also, the company is looking to build automated personalized feedback modules to the students using its data. The AI models do not evaluate sentence structures, or grammar, format, but evaluate the context of the student responses and look for the key concepts that educators are looking for.

Faculty Supervisor:

Linbo Wang

Student:

Partner:

Blees AI

Discipline:

Computer science

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

University of Toronto

Program: