A survey of 172 open educational datasets from 204 papers across LAK, EDM, and AIED conferences reveals trends, 143 previously uncatalogued datasets, field gaps, and an 8-item PRACTICE checklist for better data publication.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
citation-role summary
background 3
citation-polarity summary
fields
cs.CY 2roles
background 1polarities
background 1representative citing papers
Low dropout risk CS1 students exhibited three distinct weekly learning strategies while high-risk students showed nine varied patterns, some temporary and recoverable and others signaling imminent dropout.
citing papers explorer
-
Open Datasets in Learning Analytics: Trends, Challenges, and Best PRACTICE
A survey of 172 open educational datasets from 204 papers across LAK, EDM, and AIED conferences reveals trends, 143 previously uncatalogued datasets, field gaps, and an 8-item PRACTICE checklist for better data publication.
-
Understanding Self-Regulated Learning Behavior Among High and Low Dropout Risk Students During CS1: Combining Trace Logs, Dropout Prediction and Self-Reports
Low dropout risk CS1 students exhibited three distinct weekly learning strategies while high-risk students showed nine varied patterns, some temporary and recoverable and others signaling imminent dropout.