Case Study: Designing Data Structures That Build a Culture of Improvement at Youngstown City Schools
When the Youngstown City School District (YCSD) adopted its gradual release of responsibility instructional framework, a crucial lever of its implementation was non-evaluative walkthroughs. The poster covers YCSD lessons learned: translating indicators into practical measures, intervening mid-year to build observer alignment, investing teachers in feedback, and protecting against variability in the face of leadership turnover.
Gregory Kibler, Deputy Chief of Data, Youngstown City School District
Sasha Kapur, Senior Client Success Manager, KickUp
Data Analytics for Leadership Improvement in Education
The poster describes for leaders the importance of digital tool use and analytics to improve innovative education project performance. When leading new projects, data is collected to support decision making, including that of economic rationale and growth. Highlighted are examples of leadership program data that pinpoints target areas for improvement strategies at large institutions and the use of analytics to support educational project growth as a core feature driving leadership for improvement.
Xyanthine Parillon, Founder, Principal, Biomed Careers
Improving the Faculty Evaluation Process and Outcome One Aspect at a Time
We surveyed the faculty at a health sciences graduate college regarding their evaluation experiences. They reported that meaningful evaluations were rare and that the evaluators frequently based their conclusions only on the information submitted in the faculty’s self-evaluation. The primary complaint involved the ambiguity of the rating scale. As a result, a team took on the challenge of drafting a new rating scale, presented it to faculty, and used an iterative approach to settle on a pilot version. Come find out what happened next!
Paulette Di Angi, Executive Director of Institutional Effectiveness, MGH Institute of Health Professions
Leading with Knowledge: Understanding What Works and for Whom With Rapid Cycle Evaluation
The key to data-driven decision making is timely and actionable findings. The poster discusses the Rapid Cycle Evaluation Coach tool and the ways that it can be leveraged to quickly and efficiently assess progress and provide findings that can be shared with stakeholders.
Mikia Manley, Research Analyst, Mathematica Policy Research
Kristin Hallgren, Senior Researcher, Mathematica Policy Research
The Observable Correlates of the Aha! Moment and Surface to Deep Processing
Observable correlates of Aha! moments have been documented with evidence of the effects of surface to deep processing. The poster describes the way in which Aha! moments were captured—specifically, research from eight instruments that confirm data surrounding surface- and deep-learning implications, teacher narratives, and evidence of these moments in schools.
Jason Berckley, Dean of Arts and Innovation, Episcopal High School
Strategic Data Project: Putting the “Prove” in School System Improvement
The Strategic Data Project is a network of more than 300 analysts in over 120 education agencies, making it the most expansive and sophisticated network of data analysts in the field of education.The project seeks to build data capacity in education organizations by recruiting, selecting, and placing data fellows in organizations and, over the course of two years, training them to use analytical tools in their agencies to elicit evidence of what works. Fellows build data infrastructure and use data to diagnose problems, predict outcomes for students and teachers, and influence policymakers.
Miriam Greenberg, Strategic Data Project Director, Center for Education Policy Research at Harvard University
Trust the Data: A Framework for Taking Action With Confidence
With better and richer data than ever before, the opportunity to use data to drive decision making and improve education has never been greater. But people have questions about whether they can trust data. Does this data capture the full story? Does this really measure what it claims? How do I make decisions when faced with conflicting information? For people to take action with confidence, they must understand the story behind the data. Leaders and policymakers have a unique responsibility to be transparent and clear with educators and the public about how data collection, analysis, and interpretation inform the decisions that are made.
Rachel Anderson, Director, Policy and Practice, Data Quality Campaign