Graph-based Knowledge Tracing: Modeling Student Proficiency Using Graph Neural Network

Daily notes on AI papers

A library of algorithms for reproducing knowledge tracing, cognitive diagnosis, exercise recommendation and learning path recommendation models.

"Enhancing Knowledge Tracing via Adversarial Training", ACM MM 2021 (Oral).

Unsupervised Deep Autoencoders for Feature Extraction with Educational Data

Source code and data for the EDM 2022 paper

Transition Network Analysis R package

Data Science Portfolio for Andrew DeCotiis-Mauro. Covers topics such as CEO compensation, congressional partisanship, web scraping, grade analysis and education.

It is a machine learning model combines two computational intelligence approaches: Genetic Algorithm and Decision Tree. The nome of model (EvolveDTree) represents a acronymous to "Evolved Decision Tree".

This repository contains all my work for my Machine Learning Project

Python Data Mining Tool that analyzes grading patterns.

Learning analytics methods and tutorials - A practical guide using R

A recommender system based on data provided by MHRD on colleges and universities in India. Website-

Accessible Learning Analytic

Code of "Educational Data Mining Discovering Principal Factors for Better Academic Performance", the paper was published on the 3rd International Conference on Big Data Engineering and Technology (BDET 2021)

FATED: Fairness, Accountability, and Transparency in Educational Data

Exploratory Data Analysis Course

Regression Machine Learning Pipelines for predicting student performance

Psychometrics and Data Science with R and Python

No description provided.

A Curated List of Learning Materials on Machine Learning

A high-level R 📦 for clean, filter, and combine 🎓 Moodle Quiz Report

Our full length research is finally acknowledged through double-blind review procedure.

Data scraping tool of Russian govt HE data

Python package for sequential pattern analysis using the GSP algorithm, supporting course sequencing and other applications.

An end-to-end Data Science pipeline for analyzing mathematical misconceptions, featuring automated ETL, MySQL integration, and feature engineering for LLM training. Dockerized & CI/CD enabled.

This project contain the latex report of my final year project about student orientation with data mining

Implementation of step generation algorithm for learning curve analysis on code-writing data from our EDM 2024 paper.

A Genetic Algorithm to optimize textual features by their relevance, highlighting them in HTML.

A leakage-aware and uncertainty-aware framework for student performance prediction using learning behavior features, combining ensemble learning, conformal prediction, subgroup reliability, and interpretability for early-warning educational systems.