Name: Mark LaVenia
Type: User
Company: University of Canterbury
Bio: Senior Lecturer, Uni of Canterbury; Former EdReports Data Strategist; PhD Educational Leadership & Policy; Passionate about education and data.
Location: Christchurch, New Zealand
Blog: https://orcid.org/0000-0002-3491-2011
Mark LaVenia's Projects
Data Science in Education Using R Book Club
Introduction to GitHub and RStudio basics and the "how's" of reproducible research.
Machine Learning (ML) Learning Labs
Config files for my GitHub profile.
Social Network Analysis and STEM Education is designed to prepare researchers to apply network analysis in order to better understand and improve teaching and learning. The presentations and case studies for these labs provide scholars with an overview of social network theory, examples of network analysis in STEM educational contexts, and applied experience with widely adopted tools and common techniques.
Open University Learning Analytics dataset
Pew Global Attitudes & Trends Question Database. Question: Today, which ONE of the following do you think is the world's leading economic power?
Twitter best album polls
Text Mining in Education Learning Labs demonstrate how text mining can be applied in STEM education research and provide LASER Institute scholars hands-on experience with popular techniques for collecting, processing, and analyzing text-based data.
Code and data for research team that does text analysis: word counts, word embeddings, topic models, parsing HTML, unsupervised clustering, etc.
Companion package to XLConnect