2 Matching Annotations
  1. Sep 2016
    1. Finally, in order for data-driven interventions to be wide-spread, institutions must sustain a culture that embraces the use of data, and create incentives for data-driven activities amongst administrators, instructors and student support staff. Large-scale, data-driven policy changes are implemented with minimal friction and maximal buy-in when leaders demonstrate a commitment to data-informed decision-making, and create multiple opportunities for stakeholders to make sense of and contribute to the direction of the change. Users not only need to be trained on the proper ways to use these tools and communicate with students, they also require meaningful incentives to take on the potentially steep learning curve.[40]

      Thankfully, this paragraph isn’t framed as a need for (top-down) “culture change”, as is often the case in similar discussions. Supporting a culture is a radically different thing from forcing a change. To my mind, it’s way more likely to succeed (and, clearly, it’s much more empowering). But “decision-makers” may also interpret active support as weaker than the kind of implementation they know. It’s probably a case where a “Chief Culture Officer” can have a key role, in helping others expand their understanding of how culture works. Step 1 is acknowledging that culture change isn’t like a stepwise program.

  2. Nov 2015