The learning analytics readiness instrument
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 research activity had 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.
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The Learning process for learning analytics contains five main components: ability, data, culture and process, governance and infrastructure, and overall readiness perception.
“Also, the Learning process [80,81], for LA contains five main components: (1) ability, (2) data, (3) culture and process, (4) governance and infrastructure, and (5) overall readiness perception.”
From Artificial Intelligence for Assessment and Feedback to Enhance Student Success in Higher Education (2022) · cites this paper as [81]
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- Authors
- Oster, M., Lonn, S., Pistilli, M. D., & Brown, M. G.
- Affiliations
- University of Michigan (US)
- Indiana University Indianapolis (US)
- Venue
- Proceedings of the Sixth International Conference on Learning Analytics & Knowledge - LAK '16
- Publisher
- ACM Press
- Published
- 2016
- Pages
- 173-182
- OpenAlex
- W2336119220
- Cited by
- 31
- References
- 32
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 2 · 2023: 3 · 2022: 8 · 2021: 3 · 2020: 2 · 2019: 3 · 2018: 3 · 2017: 5
- FWCI
- 2.93
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- International Conference on Learning Analytics and Knowledge (LAK) (publishedVersion)
- Funders
- Bill & Melinda Gates Foundation
- Topics
- Physical Sciences › Computer Science › Computer Science Applications › Online Learning and Analytics
- Social Sciences › Business, Management and Accounting › Management Information Systems › Big Data and Business Intelligence
- Physical Sciences › Computer Science › Information Systems › Educational Innovations and Challenges
- Keywords
- learning analytics, institutional readiness, higher education institutions, organizational culture, employee training, Carnegie classification, research universities, organizational learning
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