[on behalf of Andrew Olney]
The latest issue of the Journal of Educational Data Mining, 13(2), is now
available! See table of contents below and attached.
https://jedm.educationaldatamining.org/index.php/JEDM/issue/view/34
Table of ContentsEditorial Acknowledgments and Introduction to the Special
Issue for the NAEP Data Mining Competition
<https://www.google.com/url?q=https://jedm.educationaldatamining.org/index.php/JEDM/article/view/539&source=gmail-html&ust=1630503579980000&usg=AFQjCNFRq2lUcF0NT4F2gRdTrz0m74OkEQ>
Ryan S. Baker, Neil T. Heffernan, Thanaporn Patikorn Patikorn, Carol M.
Forsyth, Irvin R. Katz
Process Mining Combined with Expert Feature Engineering to Predict
Efficient Use of Time on High-Stakes Assessments
<https://www.google.com/url?q=https://jedm.educationaldatamining.org/index.php/JEDM/article/view/500&source=gmail-html&ust=1630503579980000&usg=AFQjCNHngLTmuy0Wx2WRrWi1bQgK4UBG5w>
Nathan A. Levin
Modeling NAEP Test-Taking Behavior Using Educational Process Analysis
<https://www.google.com/url?q=https://jedm.educationaldatamining.org/index.php/JEDM/article/view/502&source=gmail-html&ust=1630503579980000&usg=AFQjCNFYk6QNm73AN1-XBtPFyBDf-RUwTw>
Nirmal Patel, Aditya Sharma, Tirth Shah, Derek Lomas
AutoML Feature Engineering for Student Modeling Yields High Accuracy, but
Limited Interpretability
<https://www.google.com/url?q=https://jedm.educationaldatamining.org/index.php/JEDM/article/view/501&source=gmail-html&ust=1630503579980000&usg=AFQjCNFALXSZ964DXlx2_FKR3-6EhmDLDQ>
Nigel Bosch
Applying Psychometric Modeling to aid Feature Engineering in Predictive
Log-Data Analytics: The NAEP EDM Competition
<https://www.google.com/url?q=https://jedm.educationaldatamining.org/index.php/JEDM/article/view/503&source=gmail-html&ust=1630503579980000&usg=AFQjCNE8GgicJNSgUKNi7pXq39snL8TDIg>
Fabian Zehner, Beate Eichmann, Tobias Deribo, Scott Harrison, Daniel Bengs,
Nico Andersen, Carolin Hahnel
