Predictive Feature Generation and Selection Using Process Data From PISA Interactive Problem-Solving Items: An Application of Random Forests

Predictive Feature Generation and Selection Using Process Data From PISA Interactive Problem-Solving Items: An Application of Random Forests

The Programme for International Student Assessment (PISA) introduced the measurement of problem-solving skills in the 2012 cycle. The items in this new domain employ scenario-based environments in terms of students interacting with computers. Process data collected from log files are a record of stu...

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Bibliographic Details
Main Authors: Zhuangzhuang Han, Qiwei He, Matthias von Davier
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-11-01
Series:Frontiers in Psychology
Subjects:
process data
interactive items
feature generation
feature selection
random forests
problem-solving
Online Access:https://www.frontiersin.org/article/10.3389/fpsyg.2019.02461/full

Internet

https://www.frontiersin.org/article/10.3389/fpsyg.2019.02461/full

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