Thursday, August 10, 2017: 11:30 AM-1:15 PM
B113, Oregon Convention Center
Melissa K. Kjelvik, Michigan State University
Elizabeth H. Schultheis, Michigan State University;
Alan R. Berkowitz, Cary Institute of Ecosystem Studies;
Kari E. B. O'Connell, Oregon State University;
Stephanie V. Bestelmeyer, Asombro Institute for Science Education;
Noelia Báez Rodríguez, University of Puerto Rico;
Sam T. Norlin, LTER Network Communication Office; and
Rhea M. M. Esposito, University of Colorado
Bringing data into the classroom is important for developing student quantitative reasoning abilities and teachers have requested more guidance and resources to help accomplish these goals. While scientists recognize that sharing research findings with the general public is an important part of the scientific process, and crucial for developing strong broader impact programs, many researchers may be limited by training or time. In this session we share two models, Data Nuggets and Data Jams, developed by LTER scientists and educators to creatively and efficiently share research data with K-16 audiences.
Data Nuggets and Data Jams help students explore, think critically about, and interpret authentic datasets. By bringing cutting-edge science and data into classrooms and afterschool programs, these resources help students engage with data and deepen their understanding of quantitative reasoning in the context of science. In addition, scientists can use Data Nuggets and Data Jams to share their research with broad audiences.
In this workshop, we will provide an overview of Data Jams and Data Nuggets, and then break out into discussion groups based on interests. Participants will be presented with strategies to best utilize these valuable resources in their teaching and will have the opportunity to discuss how to incorporate their own research and data. We will work with participants to discuss ideas for running Data Jams with their students and local teachers, and creating Data Nuggets based on their own research and course objectives.