⚙️ Ralph, the ultimate Learning Record Store (and more!) for your learning analytics
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Updated
Jul 1, 2024 - Python
⚙️ Ralph, the ultimate Learning Record Store (and more!) for your learning analytics
My Learning Analytics (MyLA)
Developing Natural Language Processing tools to enhance Learning Analytics. Creating an automated dashboard that diagnoses strengths and weaknesses from educational data.
Module Progress is a Python script and Tableau workbook for visualizing students progress in a Canvas course.
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.
My Learning Analytics (MyLA)
Open source application to sonify learning analytics data based on users preference. Designed to be used as a data exploration tool.
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.
Aggregation of GitHub activities and transformation in Pandas Dataframes
An example platform to teach computer architecture with the focus on E-Assessment and Learning Analytics.
Code for Large-Scale Student Data Reveal Sociodemographic Gaps in Procrastination Behavior
Aggregation of github activities on multiple repositories based on github2pandas
Processing module for Learning Tracker in Coursera
This is a work-in-progress repository for a deep learning based moderator agent for critical discourse in discussion forums.
Scripts for the OpenLRW API
A data ecosystem enabling learning analytics for learning design developed for Zuyd University of Applied Science, ICT faculty.
A crawler for Coursera
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