Learning analytics

Are we at risk of missing the point?

Authors

  • Danny Yen-Ting Liu
  • Tim Rogers
  • Abelardo Pardo

DOI:

https://doi.org/10.14742/apubs.2015.1022

Keywords:

learning analytics, predictive analytics, retention, barriers to adoption

Abstract

The rise of learning analytics in the last few years has seen fervent development from institutions, researchers, and vendors. However, it seems to have had a laggard reception in higher education. Peering behind some barriers to adoption, we question whether common approaches that address the economics of low hanging fruit distract us from asking and answering deeper questions about student learning. This may lead to destructive feedback loops where learning analytics, swept by the currents of institutional agendas and cultures, does not deliver upon its promises to those who need it most - students and educators.

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Published

2015-11-27