CEC Learning Library

Getting Started with Data Based Decision Making in your Classroom—5 Easy Steps

Getting Started with Data Based Decision Making in your Classroom—5 Easy Steps

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As a new teacher, understanding the impact of your curriculum in real time can be a daunting task. Waiting until the end of a unit to assess the effectiveness of your lessons is not a luxury you can afford.

In this webinar, we'll discuss ways teachers can create a framework for assessing the performance of their curriculum throughout the process. This will help them recognize if they are falling behind certain benchmarks and make adjustments to get things back on track.

By participating in this webinar, you will not only gain valuable insights but also leave with a set of free tools that will enable you to monitor your students' progress effectively, regardless of the subject you teach.

While geared toward new and early-career special educators, it is a great refresher for everyone as we start the school year.

Presented by: Dr. Erica Lembke
60 minutes

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Dr. Erica Lembke

Curators’ Distinguished Professor of Special Education | Associate Dean of Research

College of Education and Human Development | University of Missouri

Erica Lembke is a Professor in the Department of Special Education, a Senior Advisor for the National Center on Intensive Intervention, past-president of the national board of the Division for Learning Disabilities, and past editor of the journal Assessment for Effective Intervention. Recently she served as department chair for 5 years and interim dean for 1.5 years in the college.

Her research interests include helping support teachers in data-based decision making through designing and implementing Curriculum-Based Measures in elementary and secondary grades and developing strategies to improve elementary students’ literacy and mathematics performance. She is currently Principal Investigator on an IES grant to examine support for middle school mathematics, co-PI on an OSEP leadership grant, co-PI on an MTSS network grant funded through the US Dept. of Ed, and Co-PI on an EIR grant to study a replication of Fraction Face Off.