Skip to main content

Math Misconceptions Data Science Competition

Posted by on Wednesday, June 12, 2024 in Uncategorized.

We are developing annotation schemes to detect potential misconceptions that underlie students’ errors in their math responses and annotating large datasets of students’ math responses. A data science challenge will then invite teams to develop algorithms that automatically detect misconceptions in the responses. These algorithms could then be used in digital learning platforms. Collaborate with the project by entering the data science challenge! Learn more here: https://news.vanderbilt.edu/2023/10/19/peabody-researchers-receive-funding-to-launch-data-science-challenges-to-improve-education/

How to Get Involved:

Enter the Math Misconceptions data science challenge!

Math Misconceptions PI

image_thumb
Bethany Rittle-Johnson
Professor, Psychology & Human Development

Math Misconceptions Personnel

image_thumb
Rebecca Adler
PhD Student, Psychological Sciences
image_thumb
Scott Crossley
Professor, Special Education
image_thumb
Kelley Durkin
Research Assistant Professor, Teaching and Learning

Core Publications

Durkin, K. & Rittle-Johnson, B. (2014).Diagnosing misconceptions: Revealing changing decimal fraction knowledge. Learning and Instruction.

Funding Sources

Tags: ,