Participants from our July OOI Data Lab Development Workshop

Our July OOI Data Lab Development Workshop in Pacific Grove, CA included 11 faculty from Hawaii to New York.

OOI Ocean Data Labs Development Workshop

July 22-26, 2019

Asilomar Conference Grounds, Pacific Grove CA

At this workshop, professors from around the country will come together to learn about and engage in efforts to bring Ocean Observatory Initiative (OOI) data into their undergraduate teaching. This workshop is part of our full series of Data Labs Workshop.

Key Objectives of the Data Lab Workshop

Participants will:

  1. Learn about the OOI program and key science questions it addresses.
  2. Access existing tools and resources designed to integrate OOI data into teaching.
  3. Be introduced to Python as a tool for working with and engaging students in OOI data.
  4. Learn how to effectively incorporate OOI data labs into undergraduate teaching.
  5. Create a customized new resource to bring OOI data into your classes.
  6. Have an opportunity to network with other professors interested in using oceanographic data. in undergraduate teaching.

Workshop Overview

  • Day 1: Laying the groundwork for understanding and using OOI data in teaching; explore existing OOI data labs
  • Day 2: Exploring Python and building data skills; Generating ideas for how you will bring OOI data into your undergraduate course
  • Day 3: Creating a plan:  what OOI customized resource will I create?
  • Day 4: Develop and refine your OOI customized resource
  • Day 5: Reflection and presentations: looking forward; planning for future applications of OOI in my teaching.

Agenda and Resources

Monday

Day 1 – Monday July 22, 2019

Objective: Laying the groundwork for understanding and using OOI data in teaching.

Time Topic, Objectives & Activities
3:00 pm Welcome and Introductions
Meet each other and review the goals of the week.

4:00 pm Check into your rooms.
6:00 pm Dinner – Crocker Dining Hall
7:00 pm The OOI Today: An introduction to its history and the science it supports
Understand the driving forces that created the OOI and how it can enable future scientific research. Understand what the OOI was designed to do and why.

8:30 am The Structure of the OOI & the OOI Website
Learn about the OOI infrastructure and discover where key resources can be found on the OOI website.

9:00 pm Workshop Expectations and Feedback
Review options for Data Lab creation. Reflect on what we learned today.
Road Check #1
9:15 pm Conclude for the Evening
Tuesday

Day 2 – Tuesday July 23, 2019

Objective: Exploring OOI data and building data skills.

Time Topic, Objectives & Activities
7:30 am Breakfast – Crocker Dining Hall
8:30 am Introduction to the OOI Data Labs
Share current suite of Data Labs and understand their intended uses.

9:15 am Where does OOI data fit in my teaching? Case Study on Primary Production
Understand how OOI can be integrated into undergraduate teaching with a case study example.

10:00 am Coffee Break
10:15 am How do I effectively integrate OOI data into my teaching? – Introduction to the Learning Cycle
Introduce common language/pedagogy for how we introduce and apply OOI data in our teaching.

11:15 am Explore Existing OOI Data Labs (Chemistry, Biology, or Geology)
Hands on exploration of the Data Labs online collection of Data Explorations
Data Explorations Round-Robin

  1. Exploration – Chlorophyll across the year
  2. Application – Chlorophyll in and off shore
  3. Exploration – Processes that Change Salinity
  4. Application – Changes in Salinity with Depth
  5. Exploration – Plate Boundary Features
  6. Application – Geological Features of a Seamount – 2
12:15 pm Lunch
1:15 pm OOI Science: A Case Study from the Irminger Sea
Explore a published dataset from the Global Irminger Sea Array that demonstrates a disciplinary core idea (science) and the visualization process.
Gain experience with the Jigsaw Research Discussion format

2:15 pm Quick-start to Accessing and Visualizing OOI Data using Python
Explore Python as a tool to access OOI data from the Irminger Sea Array.

3:15 pm Coffee Break
3:30 pm Using Python as an Educational Tool
Continuing exploring Python as a computing tool to work with OOI datasets
4:30 pm Reflection and Feedback
Road Check #2
5:00 pm Free Time
6:00 pm Dinner
Wednesday

Day 3 – Wednesday July 24, 2019

Objective: Designing a Data Lab

7:30 am Breakfast
8:30 am The End Goal for the Week – Data Lab Example Products
Investigate Data Explorations developed by previous participants

9:00 am Introduction to Curated Data Nuggets and OOI Data Resources
Understand what data is available to create your own Data Lab
Explore OOI platforms, instruments and data types
Introduce Data Nuggets web site

9:45 am Coffee Break
10:00 am Data Lab Work Session: Backwards Design Step 1
What are the big ideas and important understandings you want to focus on?
What do you want your students to know/be able to do with these concepts?
What science questions are you interested in using OOI data to support?
Form topic groups based on shared interests. Develop an initial set of content learning objectives

11:00 am Python Skill Building – Part 2
Continue exploring Python as a computing tool to work with OOI datasets

12:00 pm Lunch
1:00 pm Python Skill Building – Part 3
Create a new end-to-end notebook that ties all the pieces together to access and plot a new OOI dataset
Quick intro to the OOI Data Portal
2:30 pm Coffee break
2:45 pm Data Lab Work Session: Backwards Design Step 2 – Assessment
How would you know your students are on the right path? How would the students themselves know they are building understanding?
Brainstorm your ideas for assessment
3:15 pm Data Lab Work Session: Backwards Design Step 3a: Zeroing in on a Dataset
Identify the datasets your topic group would like to use, considering what is available and OOI data parameters.
4:00 pm Data Lab – Product Development Check-in
Define the product you will develop during this workshop
4:45 pm Reflection and Feedback
What excited you about today? What would you share with a colleague about today’s work?
Complete on-line Road Check #3
5:00 pm Free Time
6:00 pm Dinner
Thursday

Day 4 – Thursday July 25, 2019

Objective: Develop and refine your OOI customized resource

Time Topic, Objectives & Activities
7:30 am Breakfast
8:30 am Backwards Design: Step 3 – Data Lab Template Review
Define the product you will develop during this workshop.

10:15 am Coffee Break
10:30 am Data Lab Work Session: Backwards Design Step 3B: Challenge Question
Identify how you will challenge your students to analyze the provided dataset(s). What practice(s) will they use?
11:00 am Data Lab Work Session: Backwards Design Step 3C: Data Tips & Investigation Questions
Develop questions that will help your students address the research challenge.
Develop guidance on how to design and execute a data interactive for your Data Lab.
12:00 pm Lunch
1:00 pm Data Lab Work Session: Backwards Design Step 3D: Background and 3E: and Instructor Notes
Add an introduction to help your students access and connect to their prior knowledge and provide a motivating context for their investigation.
Add instructor notes.

3:00 pm Coffee Break
3:00 pm Coffee Break
3:15 pm Group Check-in and Report Out
Groups share progress and challenges.
How can we help get over challenges we are encountering?
3:15 pm Data Lab Work Session
4:45 pm Reflection and Feedback
Review and reflect on today’s activities and takeaways.
Complete on-line Road Check #4
5:00 pm Free Time
6:00 pm Dinner
Friday

Day 5 – Friday July 26, 2019

Objective: Looking forward and planning for future

Time Topic, Objectives & Activities
8:00 am Breakfast
9:00 am Final Data Labs Work Session
Complete your Data Labs Template for presentation
10:00 am Coffee Break
10:15 am Presentations (15 minutes/group)
Share your group’s Data Lab with other participants
11:15 am Taking it All Home / What’s Next?
What might we take forward?
What are the most valuable aspects of OOI assets for teaching?
What will we take home? How can we involve more scientists in OOI?

11:45 am Final Reflection
Summary reflection and final logistics (reimbursements, etc.)
Complete the End of Workshop Survey
12:00 pm Lunch
2:00 pm Workshop Concludes – Safe travels home!

Workshop Participants

Professors

  • Jean Anastasia, Suffolk County Community College
  • Dina DiSantis, Montgomery County Community College
  • Eurico D’Sa, Louisiana State University
  • Matthew Iacchei, Hawaii Pacific University
  • Benjamin Jordan, Brigham Young University-Hawaii
  • Robert Levine, University of Washington
  • Erika McPhee-Shaw, Western Washington University
  • Nadia Pierrehumbert, Illinois Mathematics and Science Academy
  • Randy Reed, Shasta-Tehama-Trinity Joint Community College District
  • Robert Rhew, UC Berkeley
  • Michelle Wood, University of Oregon

Facilitators

  • Christine Bean, Rutgers University – New Brunswick
  • Sage Lichtenwalner (@visualocean), Rutgers University – New Brunswick
  • Janice McDonnell, Rutgers University – New Brunswick
  • Anna Pfeiffer-Herbert, Stockton University
  • Dax Soule (@DaxSoule), Queens College, CUNY