Curriculum pacing

A new approach to discover instructional practices in classrooms

Conference paper (2018)

Authors

Nirmal Patel Playpower Labs
Aditya Sharma Student
Collin Sellman Arizona State University
J.D. Lomas Design Aesthetics - IDE
Research Group
Design Aesthetics (IDE) (TU Delft)
Copyright: © 2018 Nirmal Patel, Aditya Sharma, Collin Sellman, J.D. Lomas
DOI: https://doi.org/10.1007/978-3-319-91464-0_38
Clustering Visualization Sequence mining Curriculum analytics Curriculum pacing
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Published Date

2018

Language

English

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Faculty

Industrial Design Engineering

Department

Human-Centered Design

Research Group

Design Aesthetics

Abstract

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.