Print Email Facebook Twitter Curriculum pacing Title Curriculum pacing: A new approach to discover instructional practices in classrooms Author Patel, Nirmal (Playpower Labs) Sharma, Aditya (Student TU Delft) Sellman, Collin (Arizona State University) Lomas, J.D. (TU Delft Design Aesthetics) Contributor Vassileva, Julita (editor) Nkambou, Roger (editor) Azevedo, Roger (editor) Date 2018 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. Subject ClusteringCurriculum analyticsCurriculum pacingSequence miningVisualization To reference this document use: http://resolver.tudelft.nl/uuid:9f340191-8944-4275-91f0-8ab659820471 DOI https://doi.org/10.1007/978-3-319-91464-0_38 Publisher Springer ISBN 9783319914633 Source Intelligent Tutoring Systems - 14th International Conference, ITS 2018, Proceedings Event 14th International Conference on Intelligent Tutoring Systems, ITS 2018, 2018-06-11 → 2018-06-15, Montreal, Canada Series Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 0302-9743, 10858 LNCS Part of collection Institutional Repository Document type conference paper Rights © 2018 Nirmal Patel, Aditya Sharma, Collin Sellman, J.D. Lomas Files PDF ITS_2018_Curriculum_Pacing.pdf 1007.71 KB Close viewer /islandora/object/uuid:9f340191-8944-4275-91f0-8ab659820471/datastream/OBJ/view