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Tapping Research to Personalize Early Elementary Math Learning

Thursday, October 26, 2017 @ 5:00 pm - 6:00 pm EDT

Personalize Early Elementary Math Learning

Presented by Vic Vuchic, Chief Innovation Officer, Digital Promise
Hosted by Susanne Nobles, Partnerships Director, Learner Positioning Systems, Digital Promise Global
Sponsored by Digital Promise

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JOIN THE LIVE SESSION

If you attend the live session, you’ll be emailed a CE certificate within 24 hours of the edWebinar. If you view the recording and would like a CE certificate, join the Personalized Learning for All community and go to the edWebinar Archives folder to take the CE quiz.

Learner diversity in classrooms has grown tremendously over the past 30 to 40 years. However, our education system has been slow to support millions of students who are bright, capable, and eager to learn, but are held back by traditional pathways designed for the mythical “average.” One way school districts have sought to support these students is Response to Intervention (RTI) or Multi-Tiered System of Support (MTSS). Yet, educators report difficulty implementing RTI/MTSS practices with fidelity.

Join us in this edWebinar to explore how learning science research in the area of early math instruction can help us better support all learners to develop the knowledge and skills they need to achieve success in math. This session will be of interest to teachers (especially elementary and math teachers), administrators, instructional technology coordinators, curriculum coordinators, and edtech developers and entrepreneurs.

Vic VuchicAbout the Presenter

Vic Vuchic, Chief Innovation Officer, Digital Promise, is a seasoned thought leader in education technology and philanthropy. He is an expert in learning science, innovation, and scaling what works and has launched game-changing initiatives that have increased access to education and improved learning for tens of millions of learners in the Americas, Europe, Asia and Africa. Prior to Digital Promise Global, Vic consulted with a number of foundations and organizations on education technology, innovation and philanthropy. Prior to consulting, Vic developed strategies and managed over $100 million in technology-focused grants at the Hewlett Foundation to launch and grow the Open Educational Resources movement and create and advance the Deeper Learning strategy.
About the Host

Susanne Nobles is the partnerships director, learner positioning systems at Digital Promise Global. Her focus at Digital Promise Global (DPG) is identifying and communicating the best learning and instructional strategies for learners of all ages and all learning differences. She manages DPG’s Learner Positioning Systems’ partnerships with product developers, recommending integration of personalized learning research and collaborating with them to solve instructional design challenges and define development roadmaps. She also manages the instructional strategies research for each learner model. Prior to coming to Digital Promise Global, Susanne was a teacher and administrator for 20 years, leading and advising 1:1 programs at middle, secondary, and collegiate levels, as well as teaching English and advising yearbook staffs.

Join the Personalized Learning for All community to network with educators, participate in online discussions, receive invitations to upcoming edWebinars, view past edWebinars, take a quiz to receive a CE certificate for a past edWebinar, and access free resources.

REGISTER HEREJOIN THE LIVE SESSION

Digital PromiseDigital Promise was created with the mission to accelerate innovation in education to improve opportunities to learn.

The third installment in Digital Promise Global’s Making Learning Personal For All series, “Supporting Research-Based Personalization for Reading Success,” provides an overview of the learning science research behind learning to read. As a supplement to the research summaries presented on the LPS website, this report details each area of LPS’s K-3 Reading research and provides links to full annotated bibliographies for each Factor.


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