OOI Ocean Data Labs Development Workshop

August 18-23, 2019

Western Washington University, Bellingham WA

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

Initial Participant Agenda (pdf) – This will likely change as we adapt the schedule during the workshop.

Sunday

Welcome – Sunday August 18, 2019

Time Topic, Objectives & Activities
4:00 pm-6:00 pm Check-in at Fairhaven Dorms, Building 12
6:00 pm Dinner at Boundary Bay Brewery
We will be carpooling from Fairhaven. Daily commuters, we hope you will join us!
Monday

Day 1 – Monday August 19, 2019

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

Time Topic, Objectives & Activities
8:00 am Breakfast
8:30 am Welcome and Introductions
Meet each other and review the goals for the week.

9:30 am The OOI Today: An introduction to its history and the science it supports – Part 1
Understand the driving forces that created the OOI and how it can enable future scientific research.
10:15 am Coffee Break
10:30 am The OOI Today: An introduction to its history and the science it supports – Part 2
Understand what the OOI was designed to do and why.

11:15 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.

12:00 pm Lunch
12:45 pm Introduction to the OOI Data Labs
Share current suite of Data Labs and understand their intended uses.

1:30 pm 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.

2:15 pm 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.

3:15 pm Coffee Break
3:30 pm 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
4:45 pm Reflection and Feedback
Review and reflect on what we learned today.
Complete Road Check #1
5:00 pm Free Time / Organize groups for dinner
Tuesday

Day 2 – Tuesday August 20, 2019

Objective: Exploring OOI data and building data skills.

Time Topic, Objectives & Activities
8:00 am Breakfast
9:00 am The End Goal for the Week – Data Lab Example Products
Investigate Data Explorations developed by previous workshop participants

9:30 am Quick Introduction to the OOI Instrumentation Hierarchy
Explore OOI data platforms, instruments and data types

10:00 am Coffee Break
10:15 am Introduction to Curated Data Nuggets and OOI Data Resources
Understand what data is available to create your own Data Lab

11:00 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.

12:00 pm Lunch
1:00 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

2:00 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.

3:00 pm Coffee Break
3:15 pm Using Python as an Educational Tool
Continuing exploring Python as a computing tool to work with OOI datasets
4:45 pm Reflection and Feedback
Review and reflect on what was learned today. What excited you about today? What would you share with a colleague about today’s work?
Road Check #2
5:00 pm Free Time / Organize groups for dinner
Wednesday

Day 3 – Wednesday July 24, 2019

Objective: Designing a Data Lab

8:00 am Breakfast
9:00 am Teaching with Data Pedagogy
Session A:  Design Patterns to Teaching with Data
Step back and think about Pedagogy & Strategies of how to design learning experiences that help students develop quantitative data skills.

10:00 am Data Lab Work Session: Backwards Design Step 1 – Revisit Outcomes
Refine the big ideas and outcomes for your proposed activity.
What are your goals for student interaction with data?
What data skills do you want your students to build?

10:30 am Coffee Break
10:45 am Data Lab Work Session: Backwards Design Step 2 – Determining Success
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
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 News and Updates from the OOI
Dr. Deb Kelley, University of Washington and Director of the OOI Regional Cabled Array
1:30 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

3:00 pm Coffee Break
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.
4:15 pm Group Check-in and Report Out
Groups share progress and challenges.
How can we help get over challenges we are encountering?
4:45 pm Reflection and Feedback
Review and reflect on what was learned today.
Road Check #3
5:00 pm Free Time / Organize groups for dinner
Thursday

Day 4 – Thursday August 22, 2019

Objective: Develop and refine your custom OOI Data Lab

Time Topic, Objectives & Activities
8:00 am Breakfast
9:00 am Backwards Design: Step 3 – Data Lab Template Review
Define the product you will develop during this workshop.

10:30 am Coffee Break
10:45 am Data Lab Work Session: Backwards Design Step 3B: Create a Challenge Question
Identify how you will challenge your students to analyze the provided dataset(s). What practice(s) will they use?
11:15 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.
11:45 am Group Check-in and Report Out
Groups share progress and challenges.
How can we help get over challenges we are encountering?
12:00 pm Lunch
1:00 pm Data Lab Work Session: Backwards Design Step 3D: Background, and 3E: 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
3:15 pm Data Lab Work Session
Continue working with your group to complete the Data Lab template
4:45 pm Reflection and Feedback
Review and reflect on today’s activities and takeaways.
Road Check #4
5:00 pm Free Time
6:15 pm Barbecue Dinner
Friday

Day 5 – Friday August 23, 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
11:45 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?

12:15 pm Final Reflection
Summary reflection and final logistics (reimbursements, etc.)
Complete the End of Workshop Evaluation
12:45 pm Lunch
2:00 pm Workshop Concludes – Safe travels home!

The rest of the agenda will be updated during the workshop.

Workshop Participants

Professors

  • Rachel Eveleth (@revelethBGC), Oberlin College
  • Sarah Gerken, University of Alaska
  • Miguel Goni, Oregon State University
  • Natasha Gownaris (@TashaGownaris), Gettysburg College
  • Cheryl Greengrove, University of Washington Tacoma
  • Ajoy Kumar, Millersville University
  • Karin Lemkau, Western Washington University
  • Ian Miller, Peninsula College
  • Mikelle Nuwer, University of Washington
  • Todd Radenbaugh, University of Alaska Fairbanks – Bristol Bay
  • Karen Rudio, Community College of Rhode Island
  • David Shull, Western Washington University
  • Sara Smith, Bellingham Technical College
  • Elizabeth Suter (@LizzSuter), Molloy College
  • Michael Vendrasco, Pasadena City College

Facilitators

  • Sage Lichtenwalner (@visualocean), Rutgers University – New Brunswick
  • Brooke Love (@OceanChemLab), Western Washington University
  • Janice McDonnell, Rutgers University – New Brunswick
  • Dax Soule (@DaxSoule), Queens College, CUNY