Math Misconceptions Data Science Competition
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
Math Misconceptions Personnel
Core Publications
Durkin, K. & Rittle-Johnson, B. (2014).Diagnosing misconceptions: Revealing changing decimal fraction knowledge. Learning and Instruction.