@inproceedings{9f3401918944427591f08ab659820471,
title = "Curriculum pacing: A new approach to discover instructional practices in classrooms",
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{\textquoteright} 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.",
keywords = "Clustering, Curriculum analytics, Curriculum pacing, Sequence mining, Visualization",
author = "Nirmal Patel and Aditya Sharma and Collin Sellman and Derek Lomas",
year = "2018",
doi = "10.1007/978-3-319-91464-0_38",
language = "English",
isbn = "9783319914633",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "345--351",
editor = "Julita Vassileva and Roger Nkambou and Roger Azevedo",
booktitle = "Intelligent Tutoring Systems - 14th International Conference, ITS 2018, Proceedings",
note = "14th International Conference on Intelligent Tutoring Systems, ITS 2018 ; Conference date: 11-06-2018 Through 15-06-2018",
}