Big Data and Individualized Teacher Development - SXSWedu 2013 by SXSWedu published on 2013-03-09T00:37:43Z Following the mandates created under the Race To The Top Initiative, we now collect more data on teacher effectiveness than ever before. But how can we use this data to make informed, individualized decisions that help improve the quality of our teaching workforce in meaningful ways? How can we change the tone of the teacher effectiveness conversation from the currently punitive one (ie: use this data to force-rank and fire teachers) to a truly supportive one (ie: use this data to individualize support to teachers to help them grow)? In this panel, I will discuss the potential for creating technology-enable continuous improvement cycles for teachers. I will begin by demonstrating the importance of formative observation cycles and multiple measures of teacher effectiveness. I will then show the power of directly integrating this data into a marketplace of training/content, whereby algorithms can create optimal learning paths for teachers and individualize recommendations to support.