2021 Portland Area Conference

October 28-30, 2021

All sessions added to My Agenda prior to this notice have been exported to the mobile app and will be visible in your account when the app launches. Any sessions added now, will also have to be added in the app.
Grade Level



Session Type


FILTERS APPLIED:9 - 12, Hands-On Workshop, Mathematics


Rooms and times subject to change.
2 results
Save up to 50 sessions in your agenda.

Correlation, Causation, and Island Biogeography

Friday, October 29 • 8:00 AM - 9:00 AM

Oregon Convention Center - E146

(Only registered attendees may view session materials. Please login with your NSTA account to view.)
Correlation, Causation, & Island Biogeography Resources
Shared Google Drive folder containing documents that support this instructional module.

STRAND: Innovating the Future of Education: Technology and Science Education

Show Details

We will use Google Forms and Google Sheets to propose and evaluate hypotheses based on research conducted in Wisconsin's Apostle Islands. Bring your laptop!

1. Choosing appropriate independent variables is an important science practice; 2. Patterns of data points indicate the strength of correlation between dependent and independent variables; and 3. Strong correlations indicate a greater likelihood that an independent variable has an important influence on a dependent variable.

Charles Collis (Clayton High School: Clayton, MO)

Experience Kinematics: Using Data to Understand Motion

Friday, October 29 • 9:30 AM - 10:30 AM

Oregon Convention Center - E146

STRAND: Sharing Authentic Assessment Strategies

Show Details

Learn what representations and data your students can use to bridge phenomena and mathematics, and how to assess kinematics understanding, as opposed to rote algebra skills.

1. Using authentic data from real, open-access journal articles to model motion; 2. Students using multiple representations to shift back and forth from pictures, graphs, and math; and 3. Assessing students' understanding through their performance using real data.

Christopher Moore (University of Nebraska Omaha: Omaha, NE)

Back to Top