Visit MQI Coaching cofounder Claire Gogolen (@MQIclaire) in the exhibition hall, and attend our conference session. Event title: #231 - From Research to Practice: the Story of MQI Coaching Session time: Tentatively scheduled for Monday, April 03, at 11:15 AM Lead speaker: Heather Hill
The Strategic Data Project and Proving Ground will participate in the fourth annual Carnegie Foundation Summit on Improvement in Education. Thomas Kane, faculty director of CEPR, will also be presenting.
CEPR-affiliated faculty and researchers will present on the topic of education policy in the post-Obama era at the 42nd annual Association for Education Finance and Policy Annual Conference 2017. Learn more and register
The theme of the Sree Spring Conference 2017 is "Expanding the Toolkit: Maximizing Relevance, Effectiveness & Rigor in Education Research." CEPR-affiliated faculty and researchers, as well as Strategic Data Project Fellow Alumni, will be presenting sessions. The Strategic Data Project will also host a table. ...
Join MQI Coaching experts from Harvard University for a self-paced online learning module (~10 hours over two weeks) that covers key components of our rubric-based coaching model.
The program begins with an introduction to Mathematical Quality of Instruction (MQI) Coaching, an observation instrument and set of protocols that support teachers in analyzing their own instruction and...
The seventh annual Strategic Data Project (SDP) Convening will take place in Boston, MA on May 17–19, 2017. The event brings together fellows, partners, practitioners, researchers, and leaders in the field of education to discuss the role that data, analytics, and leadership play in our continued effort to transform the use of data in education to improve student achievement.
The SDP Institute for Leadership in Analytics is a five-day data workshop at Harvard University for education analysts and system leaders who want to leverage data to inform decision making and improve student achievement. The curriculum provides a foundation or refresher course on problem analysis, technical methods, program evaluation, and data visualization and communication techniques. Hands-on activities, including computer lab sessions, demonstrate how to gain key insights around priority topics such as teacher effectiveness or college-going success. Participants need not be an expert in statistical programming, though a basic understanding is recommended. Learn more on the SDP Website