Educational Data Science
seqClustR: An R Package for Sequence Clustering
In this paper, we're going to describe the core features of the R package seqClustR  dedicated to sequence clustering.
Explainable Knowledge Tracing Models for Big Data: Is Ensembling an Answer?
In this paper, we describe our Knowledge Tracing model for the 2020 NeurIPS Education Challenge.
Modeling NAEP Test-Taking Behavior Using Educational Process Analysis
Process Analysis is an emerging approach to discover meaningful knowledge from temporal educational data.
Visualizing Cronbach's Alpha for a Large Number of Assessments
In this paper, we present a novel data visualization that shows the distribution of Cronbach's Alpha for a large number of assessments and their items.
Proceedings of the First Workshop on Educational Data Visualization (EdViz-2019)
The primary goal of this workshop is to produce open source data visualizations that help communicate results
Curriculum Pacing: A New Approach to Discover Instructional Practices in Classrooms
This paper examines the use of “pacing plots” to represent variations in student learning sequences within a digital curriculum.
Using Curriculum Pacing in LearnSphere to Visualize Student Learning Trajectories
We propose to build a Curriculum Pacing workflow component in the LearnSphere environment.
Mining Frequent Learning Pathways from a Large Educational Dataset
In this paper, we describe data mining techniques used to extract frequent learning pathways from a large educational dataset.