Curriculum Pacing: A New Approach to Discover Instructional Practices in Classrooms

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10858)


This paper examines the use of “pacing plots” to represent variations in student learning sequences within a digital curriculum. Pacing plots are an intuitive and flexible data visualizations that have a potential for revealing the diversity of blended classroom instructional models. By using curriculum pacing plots, we identified several common implementation patterns in real-world classrooms. After analyzing two years’ worth of data from over 150,000 students in a digital math curriculum, we found that a PCA and K-Means clustering approach was able to discover pedagogically relevant instructional practices.


Curriculum analytics Curriculum pacing Sequence mining Clustering Visualization 


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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Playpower LabsGandhinagarIndia
  2. 2.Arizona State UniversityTempeUSA
  3. 3.Delft University of TechnologyDelftNetherlands

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