Lessons Learned From Early Implementations of Adaptive Courseware
An overview of using academic analytics to predict and improve students' achievement: A proposed proactive intelligent intervention"
"Collaborative multi-regression models for predicting students' performance in course activities"
Using Factorization Machines for
Investigating how affect
throughout the school year predicts end of year learning
UNDERSTANDING THE ADAPTIVE
LEARNING SUPPLIER LANDSCAPE
Research directions in data wrangling:
Visualizations and transformations for
usable and credible data
"Our smart local moving (SLM) algorithm is an algorithm for community detection (or clustering) in large networks. The SLM algorithm maximizes a so-called modularity function. The algorithm has been successfully applied to networks with tens of millions of nodes and hundreds of millions of edges. The details of the algorithm are documented in a paper (Waltman & Van Eck, 2013).
"Key Tensions in the Field of Learning Analytics"