A.I.-driven Assessment of Reading Literacy

Image of a road sign that says assessment.

Help design scalable reading literacy assessments

Project description

Reading literacy assessments are important to determine the right course of action to help students improve their reading literacy. The current solution is manual (involving professionals) and non-scalable. With the advancement of AI technologies, it's possible to develop scalable and practical AI solutions to automate the assessment of reading literacy. 

Project outcome

A practical AI solution (involving natural language understanding) that can automate the assessment of users' reading literacy. 

Project details

Timing, eligibility and other details
Length of commitment Longer than a semester (about 6-9 months)
Start time Anytime
In-person, remote, or hybrid?
Level of collaboration Small group project (2-3 students)
Benefits Research experience; academic credit
Who is eligible Undergraduate students with a background in machine learning, computer science, or communicative sciences

Project mentor

Jinjun Xiong

Empire Innovation Professor

Computer Science and Engineering

Phone: (716) 645-4760

Email: jinjun@buffalo.edu

Start the project

  1. Email the project mentor using the contact information above to express your interest and get approval to work on the project. (Here are helpful tips on how to contact a project mentor.)
  2. After you receive approval from the mentor to start this project, click the button to start the digital badge. (Learn more about ELN's digital badge options.) 

Preparation activities

The specific preparation activities for this project will be customized through discussions between you and your project mentor. Please be sure to ask them for the instructions to complete the required preparation activities.


Computer Science and Engineering