Vol 12 No 2 (2020): Scientific Findings from the ASSISTments Longitudinal Data Mining Competition

View 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

Thanaporn Patikorn, Ryan S. Baker, Neil T. Heffernan
Abstract 1580 | PDF Downloads 788
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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

Jihed Makhlouf, Tsunenori Mine
Abstract 1014 | PDF Downloads 724
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Page 1-18

Towards Interpretable Automated Machine Learning for STEM Career Prediction

Ruitao Liu, Aixin Tan
Abstract 1071 | PDF Downloads 917
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Page 19-32

Predicting Student Participation in STEM Careers: The Role of Affect and Engagement during Middle School

Ma Victoria Quintos Almeda, Ryan Shaun Baker
Abstract 1263 | PDF Downloads 915
PDF

Page 33-47

Gender differences in Predicting STEM Choice by Affective States and Behaviors in Online Mathematical Problem Solving: Positive-Affect-to-Success Hypothesis

Mei-Shiu Chiu
Abstract 591 | PDF Downloads 479
PDF

Page 48-77