A.I.-driven Assessment of Reading Literacy
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
| Length of commitment | Longer than a semester (about 6-9 months) |
| Start time | Anytime |
| In-person, remote, or hybrid? | 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
- 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.)
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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.
Keywords
Computer Science and Engineering