文章基本信息

标题：Modeling NAEP Test-Taking Behavior Using Educational Process Analysis
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作者：Nirmal Patel ; Aditya Sharma ; Tirth Shah 等
期刊名称：Journal of Educational Data Mining
电子版ISSN：2157-2100
出版年度：2021
卷号：13
期号：2
页码：16-54
DOI：10.5281/zenodo.5275312
语种：English
出版社：International EDM Society
摘要：Process Analysis is an emerging approach to discover meaningful knowledge from temporal educational data. The study presented in this paper shows how we used Process Analysis methods on the National Assessment of Educational Progress (NAEP) test data for modeling and predicting student test-taking behavior. Our process-oriented data exploration gave us insightful findings of how students were interacting with the digital assessment system over time. To discover what processes students were following during the NAEP Digital Assessment, we first developed an innovative set of research questions. Then, we used Process Analysis methods to answer these questions and created a set of features that described student behavior over time. These features were used to create an ensemble model that aimed to accurately predict the digital test-taking efficiency of the students taking NAEP. Our model emerged as one of the most successful models in the 2019 NAEP Data Mining Competition, scoring second place out of 89 teams.
关键词：process analysis;behavior modeling;test-taking behavior;curriculum pacing;process mining