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Connecting Read Alouds to the Science of Reading

Wednesday, December 13, 2023 @ 3:00 pm - 4:00 pm EST

A woman reading a book

Presented by Dr. Molly Ness, Former Classroom Teacher, Reading Researcher, Teacher Educator, and Author

Sponsored by Solution Tree

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With so much focus on students’ foundational skills, we cannot afford to overlook the unconstrained components of language comprehension. In this edWebinar, author Dr. Molly Ness highlights the research showing the cognitive, linguistic, socio-emotional—and even physiological—benefits of read alouds.

Despite their solid research basis, 50-70% of teachers do not plan read alouds in advance! This session overviews a planning protocol for effective read alouds in PreK-8 in literacy blocks and content-area classrooms. Learning outcomes include:

  • Understand the current trends and data around reading aloud in PreK-8 classrooms
  • Develop an understanding of a three-step planning process for read alouds
  • Use read alouds to foster vocabulary development, funds of knowledge, and language comprehension

This recorded edWebinar is of interest to PreK-8 teachers.

Molly Ness

About the Presenter

Dr. Molly Ness is a former classroom teacher, a reading researcher, and a teacher educator. She spent 16 years as an Associate Professor of Childhood Education at Fordham University, where she taught literacy methods coursework and doctoral courses in language, literacy, and learning. Her research focuses on reading comprehension, teachers’ instructional decisions, and dyslexia. In 2022, Dr. Ness joined the nonprofit Learning Ally as the Vice President of Academic Content. She serves on the board of directors for the International Literacy Association and on the elementary advisory panel for Penguin Random House.

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Solution Tree

Since 1998, Solution Tree has worked to empower educators. We share your vision to transform education to ensure learning for all, and we can help you make this vision a reality. No other professional learning company provides our unique blend of research-based, results-driven services that improve learning outcomes for students.


Solution Tree

Details

Date:
Wednesday, December 13, 2023
Time:
3:00 pm - 4:00 pm EST
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