Using Online Investigations with Digitized Specimens to Enhance Data Literacy and Scientific Reasoning
Online investigations with digitized specimens offer broad opportunities for teachers to engage their students in authentic scientific research. EPIC Bioscience investigations are free, online, NGSS-aligned research investigations that guide students to participate in science practices: asking a question, collecting data, analyzing and interpreting findings, and communicating to others. Investigations use specimens from natural history collections in entomology, vertebrate zoology, mycology, and botany to provide fully-supported, online investigations centered on real phenomena and aligned to NGSS MSLS2-1 through NGSS MSLS2-4. These investigations offer key opportunities to enhance scientific literacy through effective sensemaking with student-collected data on compelling specimens. This session focuses on two key goals to help teachers support sensemaking during phenomena-based student investigations: (1) Identifying and remediating common student errors and confusion during data collection and analysis. (2) Practicing effective instructional strategies focused on enhancing students’ scientific reasoning and data interpretation. This session will involve hands-on experiences with student activities, as well as interactive discussion of classroom examples and evidence.
Takeaways: Identify common student errors and sources of confusion during data collection, analysis, and interpretation and deploy strategies designed to enhance student sensemaking from data.
Kirsten Butcher (The University of Utah: Salt Lake City, UT), Madlyn Larson (Natural History Museum of Utah: Salt Lake City, UT)
Presenter Materials for this Session:
(Please login with your NSTA account to view the materials)
EPIC Bioscience - Specimen Measurement Guide
A visual guide to measuring specimens, with examples and non-examples.
EPIC Bioscience - Data Interpretation Guide
Visual student guide to interpreting data patterns, with examples and non-examples.