Analysis of Student Behavior Using the R Package crsra

Authors

  • Aboozar Hadavand Johns Hopkins University http://orcid.org/0000-0002-2887-9091
  • John Muschelli Johns Hopkins University
  • Jeffrey Leek Johns Hopkins University

DOI:

https://doi.org/10.18608/jla.2019.62.10

Keywords:

MOOCs, R Package, Big Data in Education, Student Progress

Abstract

Due to the fundamental differences between traditional education and Massive Open Online Courses (MOOCs) and the ever-increasing popularity of MOOCs more research is needed to understand current and future trends in education. Although research in the field has rapidly grown in recent years, one of the main challenges facing researchers remains to be the complexity and messiness of the data. Therefore, it is imperative to provide tools that pave the way for more research on the new subject of MOOCs. This paper introduces a package called crsra based on the statistical software R to help tidy and perform preliminary analysis on massive loads of data provided by Coursera. The advantages of the package are as follows: a) faster loading and organizing data for analysis, b) an efficient method for combining data from multiple courses and even across institutions, and c) provision of a set of functions for analyzing student behaviors.

Author Biographies

Aboozar Hadavand, Johns Hopkins University

Department of Biostatistics Post-doctoral Fellow

John Muschelli, Johns Hopkins University

Department of Biostatistics Assistant Scientist

Jeffrey Leek, Johns Hopkins University

Department of Biostatistics Professor

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Published

2019-07-23

How to Cite

Hadavand, A., Muschelli, J., & Leek, J. (2019). Analysis of Student Behavior Using the R Package crsra. Journal of Learning Analytics, 6(2), 140–152. https://doi.org/10.18608/jla.2019.62.10

Issue

Vol. 6 No. 2 (2019): Human-Centred Learning Analytics

Section

Data and Tools Reports

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