Using Data to Re-Engage Students and Address Unfinished Learning

A Roundtable Discussion with MDTP & Carnegie Learning

We’re bringing our experts together to talk to you about the power of data to diagnose and inform math instruction. It’s not just about re-teaching what students missed⁠—it’s about identifying strengths, misconceptions, and unfinished learning so you can create personalized learning paths that empower students to gain a deeper understanding of math. Are you ready to take a new, data-driven approach to math instruction?

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Access the On-Demand Webinar
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Webinar Details

During this roundtable discussion with MDTP and Carnegie Learning, you will:

  • Learn how to IDENTIFY STUDENTS' STRENGTHS, misconceptions, and unfinished learning.
  • Explore RESEARCH-BASED STRATEGIES to build students' mathematical understanding.
  • Be challenged to THINK DIFFERENTLY about how to assess and support students.

LIVE SESSION RECORDED MAY 20TH, 2020

Meet the Presenters

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Dr. Kimberly Samaniego, MDTP Director at University of California, San Diego

Dr. Kimberly Samaniego is the Director of the Mathematics Diagnostic Testing Project (MDTP) and the Director of Math Testing and Placement (MTP) at UCSD. Since becoming the MDTP/MTP Director in the Fall of 2015, Dr. Kim has focused on updating, expanding, and revolutionizing testing modalities, materials and resources, state-wide and local outreach, professional training to educators from secondary and post-secondary institutions, and access and support to the communities of both projects.
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Dr. Steve Ritter, Founder and Chief Product Architect at Carnegie Learning

Steven Ritter has been developing and evaluating educational systems for over 20 years. Through leadership of the research department, Dr. Ritter has led many improvements to the use of adaptive learning systems and math education in real-world settings. He is the author of numerous papers on the design, architecture and evaluation of Intelligent Tutoring Systems. He is lead author of an evaluation judged by the US Department of Education’s What Works Clearinghouse as fully meeting their standards and is lead author of a "Best Paper" at the International Conference on Educational Data Mining.
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Sandy Bartle Finocchi, Chief Mathematics Officer at Carnegie Learning

Sandy joined Carnegie Learning in August, 2000 after spending 14 years as a high school mathematics teacher, department chair, and coach. Sandy embodies the Carnegie Learning Way, believing that all students are capable of becoming strong, confident math learners. As Carnegie Learning's Senior Academic Officer, Sandy leads an instructional design team that leverages the best of academic research on teaching and learning theory to create the world's best math curriculum.

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