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Presentation
The learning analytics readiness instrument
Sixth International Conference on Learning Analytics & Knowledge
(2016)
Abstract
Little is known about the processes institutions use when discerning their readiness to implement learning analytics. This study aims to address this gap in the literature by using survey data from the beta version of the Learning Analytics Readiness Instrument (LARI) [1]. Twenty-four institutions were surveyed and 560 respondents participated. Five distinct factors were identified from a factor analysis of the results: Culture; Data Management Expertise; Data Analysis Expertise; Communication and Policy Application; and, Training. Data were analyzed using both the role of those completing the survey and the Carnegie classification of the institutions as lenses. Generally, information technology professionals and institutions classified as Research Universities–Very High have significantly different scores on the identified factors. Working within a framework of organizational learning, this paper details the concept of readiness as a reflective process, as well as how the implementation and application of analytics should be done so with ethical considerations in mind. Limitations of the study, as well as next steps for research in this area, are also discussed.
Keywords
- Learning Analytics,
- Readiness,
- Survey Design,
- Higher Education,
- Reflection,
- Ethics
Disciplines
Publication Date
2016
Location
Edinburgh, United Kingdom
DOI
10.1145/2883851.2883925
Comments
This is a manuscript of a proceeding from Oster, Meghan, Steven Lonn, Matthew D. Pistilli, and Michael G. Brown. "The learning analytics readiness instrument." In Proceedings of the Sixth International Conference on Learning Analytics & Knowledge, April 25-29, 2016, pp. 173-182. ACM, 2016. doi: 10.1145/2883851.2883925. Copyright is held by the owner/author(s). Posted with permission.
Citation Information
Meghan Oster, Steven Lonn, Matthew D. Pistilli and Michael Brown. "The learning analytics readiness instrument" Sixth International Conference on Learning Analytics & Knowledge (2016) Available at: http://works.bepress.com/brown-michael/9/