Projects implemented in my various university classes

An example platform to teach computer architecture with the focus on E-Assessment and Learning Analytics.

This was a project that was part of my Data Science with AI Master's degree. As part of this project I had to follow the CRISP-DM methodology and use the ProjectTemplate library to carry out my EDA on a never seen before collection of datasets. The process included working to set the business objectives, understand the provided data, preparing i…

A set of tiny applications that demonstrate the use of Viadutoo and Caliper

An instructor dashboard for viewing and intervening on discussion forum threads in Massive Open Online Courses.

This project was part of my Ph.D. research performed between 2016 and 2020, which we shed light on how to support instructors in analyzing student logs from Virtual Learning Environments. Our main goal in this project is enable Virtual Learning Environments to assist instructors in gaining insights about both students’ behavior and performance.

Many courses running on the edx platform have their student learning data processed using the code edx2bigquery, and stored in Google BigQuery. This repository shows an interactive dashboard based on the data stored in BigQuery. This type of dashboards could allow instructors and researchers to visualize and analyze student learning data.

A caching proxy endpoint for Caliper

All projects and capstone as part of Machine Learning Engineer Nanodgree. https://graduation.udacity.com/confirm/MCMPDSTK

Jupyter Notebooks (for Google Colab) demonstrating the use of the Unizin Data Platform (UDP) learning analytics event store.

At Human-Computer Interaction Institute, I work with a team of researchers, Paulo and Elizabeth, where I look at the large datasets of public schools for two major districts to model and predict student learning.

Scripts for collecting and analyzing Reddit data

A comprehensive analysis of Anki SRS

Teste de perceptron

The Learning Analytics API is a REST web API strengthened by an auto-generated swagger documentation offering the possibility to access the content analytics applied on the X5GON OERs based on several implemented AI models.

Prediction Model, Bias and Uncertainty

Slide deck for EME6356, Module 3: Learning Analytics (Summer 2023)

Standards-Focused API for Learning Analytics aimed to the Higher Education around the world

we utilize business analytics models through user data to better help online learning platforms recommend suitable courses to individual student.

Project for the course: Learning Analytics, International studies in engineering, Master of computer engineering, University of Duisburg-Essen.