DaoyuanLi2816/Kaggle-Eedi-Mining-Misconceptions-in-Mathematics-Silver-Medal

Silver Medal Solution for the Kaggle Competition: Eedi - Mining Misconceptions in Mathematics

32
/ 100
Emerging

This project helps mathematics educators and curriculum designers efficiently identify common student misconceptions associated with incorrect answers in multiple-choice questions. By inputting math problems and their distractor options, it outputs a ranked list of likely misconceptions, streamlining the process of creating diagnostic questions and understanding student learning gaps. Education content specialists or test developers would find this useful.

No commits in the last 6 months.

Use this if you need to quickly and accurately link specific incorrect answers in mathematics questions to underlying student misconceptions, enhancing the quality of diagnostic assessments.

Not ideal if your primary goal is to generate new math problems or evaluate student performance directly rather than analyze the 'why' behind incorrect answers.

mathematics-education curriculum-development assessment-design pedagogical-analysis
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 6 / 25
Maturity 16 / 25
Community 8 / 25

How are scores calculated?

Stars

20

Forks

2

Language

Python

License

MIT

Last pushed

Sep 16, 2025

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/nlp/DaoyuanLi2816/Kaggle-Eedi-Mining-Misconceptions-in-Mathematics-Silver-Medal"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.