June 26-30, 2011
East Tennessee State University, Johnson City
Preparing for the Next Generation Science Standards: The role of Data Modeling & Science Practices in the Reform of Science Curriculum for the 21st Century
The powerpoints (in pdf format) presented at the 2011 Summer Leadership Institute are available for download. The files are password protected at the request of the authors. You may view the files but not copy or alter them.
Visit our Facebook page for photos and discussion from the event.
The following team of highly qualified presenters will facilitate institute experiences. In addition you will have the opportunity to interact with colleagues from across the nation in both formal and informal settings.
- Richard Duschl (Waterbury Chair in Secondary Education, Professor of Science Education, College of Education, Penn State University) currently focuses on innovative and collaborative research and development activities in STEM education and is well known for his books Taking Science to School and Teaching Scientific Inquiry: Recommendations for Research and Implementation.
- Richard Lehrer (Professor of Science Education, George Peabody College, Vanderbilt University) adds expertise in the design of classroom learning environments that support the practices of modeling and coordinated development of model-based reasoning in science and mathematics.
- Leona Schauble (Professor of Education, George Peabody College, Vanderbilt University) shares knowledge about the development of scientific thinking, modeling approaches to science and mathematics, and professional development
- Doug Clark (Associate Professor of Science Education, George Peabody College, Vanderbilt University) adds expertise on students' learning processes as they study core science concepts in digital environments and computer games with specific focus on representations, conceptual change, collaboration, and argumentation.
The institute focuses on core knowledge and science practices that enrich understandings about and abilities in:
- Data modeling – bringing math and science together in K-12 classrooms
- Making thinking visible through talk and argumentation
- Making thinking visible through representations
- Applying institute content to your context through Professional Learning Communities