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ERIC Number: EJ1224122
Record Type: Journal
Publication Date: 2019
Pages: 13
Abstractor: As Provided
ISBN: N/A
ISSN: EISSN-1929-7750
crsra: A Learning Analytics Tool for Understanding Student Behaviour in Massive Open Online Courses
Hadavand, Aboozar; Muschelli, John; Leek, Jeffrey
Journal of Learning Analytics, v6 n2 p140-152 2019
Due to the fundamental differences between traditional education and massive open online courses (MOOCs), and because of the ever-increasing popularity of the latter, more research is needed to understand current and future trends in MOOCs. Although research in the field has grown rapidly in recent years, one of the main challenges facing researchers remains the complexity and messiness of the data. Therefore, it is imperative to provide tools that pave the way for more research on this new subject. 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 of data for analysis, (b) an efficient method for combining data from multiple courses and even from across institutions, and (c) provision of a set of functions for analyzing student behaviours.
Society for Learning Analytics Research. 121 Pointe Marsan, Beaumont, AB T4X 0A2, Canada. Tel: +61-429-920-838; e-mail: info@solaresearch.org; Web site: http://learning-analytics.info/journals/index.php/JLA/
Publication Type: Journal Articles; Reports - Descriptive
Education Level: N/A
Audience: N/A
Language: English
Sponsor: National Institute of General Medical Sciences (NIH//DHHS)
Authoring Institution: N/A
Grant or Contract Numbers: 1R01GM11544001A1