Data Driven Institutions: The Hottest Edtech Factor

In today’s times, when leaders are focused on making data-driven decisions and the age of bid gata is taking giant leaps, having a data and information management strategy in place in IT is no longer just a luxury, but quickly becoming a necessity.

What will a unified data standardization do? The effort can make all systems and processes better and can be directly managed by assessing how data is collected, cleansed and ultimately stored. When it comes to using data to help with retention and student success, universities are making great progress. However, there is still scope for improvement to take advantage of data-driven decision-making across the entire campus.

The areas where data can be used are:

  • To determine if classrooms are being utilized optimally before new construction projects are kicked off.
  • To determine if aging computer labs should be renewed or transformed into something that is more useful to the university.
  • Geographic Information System (GIS) data – this could be analyzed in practically any class on a college campus.

Academic discipline, pedagogy, learning environment, data and educational technology together create the future of any innovation in teaching and learning. The key to avoiding just chasing shiny new objects on the one hand and just staying with what we’ve always done on the other is data-informed research and formative evaluation. Institutional (rather than vendor) ownership of data generated by teaching and learning activity, transparency of data models created through our data (rather than being proprietary), and data and integration standards are the foundational blocks for making any headway in analytics, particularly learning analytics.

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