Vol. 12 No. 2 (2020): Scientific Findings from the ASSISTments Longitudinal Data Mining Competition
Special issue on the ASSISTments Longitudinal Data Mining Competition.
Ryan S. Baker, Neil T. Heffernan, and Thanaporn Patikorn, Editors
Published: 2020-08-29
Editorial Comment
ASSISTments Longitudinal Data Mining Competition Special Issue: A Preface
Abstract 1243 | PDF Downloads 647 | DOI https://doi.org/10.5281/zenodo.4008048
Page i-xi
Special Issue on ASSISTments Longitudinal Data
Analysis of Click-Stream Data to Predict STEM Careers from Student Usage of an Intelligent Tutoring System
Abstract 877 | PDF Downloads 621 | DOI https://doi.org/10.5281/zenodo.4008050
Page 1-18
Towards Interpretable Automated Machine Learning for STEM Career Prediction
Abstract 924 | PDF Downloads 782 | DOI https://doi.org/10.5281/zenodo.4008073
Page 19-32
Predicting Student Participation in STEM Careers: The Role of Affect and Engagement during Middle School
Abstract 1040 | PDF Downloads 633 | DOI https://doi.org/10.5281/zenodo.4008054
Page 33-47
Gender differences in Predicting STEM Choice by Affective States and Behaviors in Online Mathematical Problem Solving: Positive-Affect-to-Success Hypothesis
Abstract 473 | PDF Downloads 379 | DOI https://doi.org/10.5281/zenodo.4008056
Page 48-77