ASSISTments Longitudinal Data Mining Competition Special Issue: A Preface

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Published Aug 23, 2020
Thanaporn Patikorn Ryan S. Baker Neil T. Heffernan

Abstract

This special issue includes papers from some of the leading competitors in the ASSISTments Longitudinal Data Mining Competition 2017, as well as some research from non-competitors, using the same data set. In this competition, participants attempted to predict whether students would choose a career in a STEM field or not, making this prediction using a click-stream dataset from middle school students working on math assignments inside ASSISTments, an online tutoring platform. At the conclusion of the competition on December 3rd, 2017, there were 202 participants, 74 of whom submitted predictions at least once. In this special issue, some of the leading competitors present their results and what they have learned about the link between behavior in online learning and future STEM career development.

How to Cite

Patikorn, T., Baker, R. S., & Heffernan, N. T. (2020). ASSISTments Longitudinal Data Mining Competition Special Issue: A Preface. JEDM | Journal of Educational Data Mining, 12(2), i-xi. https://doi.org/10.5281/zenodo.4008048
Abstract 52 | PDF Downloads 60

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Keywords

data challenge, data competition, ASSISTments, longitudinal outcomes, career prediction

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