The anticipation, inclusion, responsiveness, and reflexivity (AIRR) framework (Stilgoe et al., 2013) is a novel framework that has helped those in science and technology fields shift their focus from products to the processes used to create those products. However, the framework has not been known to be applied to the development and implementation of data analytics in higher education. In a case study of creating an early-alert retention system at James Madison University, a working group of ~20 faculty, staff, and students creatively utilized the AIRR framework. The present study discusses how the AIRR framework was utilized to observe and enhance group processes, and the outcomes of those enhanced processes.
CITATION STYLE
Patterson, C. R., York, E., Maxham, D., Molina, R., & Mabrey, P. (2023). Applying a Responsible Innovation Framework in Developing an Equitable Early Alert System: A Case Study. Journal of Learning Analytics, 10(1), 24–36. https://doi.org/10.18608/jla.2023.7795
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