Workshop: Teaching Quantitative Reasoning Using Data: Project EDDIE

A workshop for instructors to expand teaching with large LTER-based datasets

Thursday, September 22, 2022 1:30-3pm PT
As part of the LTER All Scientists' Meeting
Asilomar Conference Center, Pacific Grove, CA

Facilitator: Cailin Huyck Orr- Science Education Resource Center

Jump down to: Goals | Expectations | Program | Additional Resources

Expectations

• Participate fully in the entire workshop
• Follow the LTER code of conduct - takes you to the LTER website

Workshop Goals

The goals of this experience are to:

• Connect with colleagues with a shared interest in teaching inquiry with open data
• Learn about strategies for teaching with large datasets that improve quantitative reasoning in students
• Become familiar with the Project EDDIE materials and the guiding principles used to develop them
• Develop individual action plans and next steps for improving classroom teaching

Format:

The workshop will include presentations, small-group work time, and active discussions. Participants will leave with an individual action plan for their own next steps. Our time will be adapted to meet the needs and interests of the participants. Workshop participants will be asked to bring a laptop.

Program

All times Pacific time zone

1:30 Arrive and connect to the wifi

1:35 Welcome and introductions

• What course are you thinking of modifying?
• What is a goal or motivation for this change?

1:45 Discussion: Why Quantitative Reasoning?

lterasm_introduction_eddie_2.v3 (1).pptx (PowerPoint 2007 (.pptx) 6.2MB Sep21 22)

• Consider your ideal student researcher

2:00 Introduction to Project EDDIE design

2:15 Activity - working with the Climate Change module

• About the structure of EDDIE modules
• Working through Activity A
  • climate_change_module_student.v4 (3).docx (Microsoft Word 2007 (.docx) 178kB Sep22 22)
  • Take notes on your experience as a student
  • Document idea for changes that would make you more comfortable teaching 
  • Write down any questions/sticking points you'd like to discuss

2:30 Reflection as a group: the experience of being a student

• What was the easy win?
• Would you be able to do this process again?

A statistical vignette on regression might be helpful here

 Reflection on your own : How will this help your teaching?

• Think about your course goals and the motivations you shared,  how would your selected EDDIE Module align with these goals? What course/activity learning objective(s) are you planning to address in your course using the selected EDDIE module/materials?

2:45 Activity: Preparing to adopt an EDDIE Module

• Identify a module that you would like to use in your course.
• Skim parts A, B, & C of the activity, including the student handouts, noting how these activities scaffold to allow students to develop skills in conducting inquiry and problem solving using big data.
  • Download this handout [file 537882  'Planning to adopt a Project EDDIE module']
  • Take notes on your experience using the guiding questions in your handout. 

Modules with LTER data (more in development)

• Hypoxia in Coastal Marine Ecosystems- Annette Brickley 
• Exploring the relationship between periphyton and water quality in karstic wetlands - Gabriel Kamener and Katie Johnson
• Exploring diatom biodiversity in the Everglades and Caribbean wetlands - Katie Johnson and Gabriel Kamener
• Tracking hot spots and hot moments in an urban freshwater estuary - Chip Small
• Where does streamwater come from? - Christa Torrens (Coming soon!)
• Also consider the Macrosystems EDDIE modules that incorporate LTER data with other sources. 

Additional EDDIE Resources

• Development Rubric and Guidelines  and opportunities to contribute resources
• Instructor Stories: document how instructors have used modules in their classrooms, spanning from small to large classes at a variety of institution types. These may give you ideas to try in your course.
• Statistical Vignettes: are short illustrated presentations that explore common statistical misconceptions in earth and environmental sciences. These may be pared with EDDIE modules to help students improve their quantitative reasoning skills.
• Project EDDIE Video Collection: provides tutorials for software and tools that may be useful for you and/or your students.
• Project EDDIE Publications and Presentations
• Webinars 
  • Using Project EDDIE modules for the first time
  • How to adapt Project EDDIE modules to meet students needs
  • Assessing Quantitative Reasoning
  • Introduction to R

3:00 adjourn