August 2019 Data Lab Workshop

Attendees at our 2019 workshop in Bellingham, WA.

In August 2019, 15 faculty attended our Data Labs workshop in Bellingham, WA, hosted by Western Washington University.

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:

Learn about the OOI program and key science questions it addresses.
Access existing tools and resources designed to integrate OOI data into teaching.
Be introduced to Python as a tool for working with and engaging students in OOI data.
Learn how to effectively incorporate OOI data labs into undergraduate teaching.
Create a customized new resource to bring OOI data into your classes.
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. True Colors Nonsense Data Activity: Handout, and Facilitator Guide
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. TOS Oceanography: Special Issue on the Ocean Observatories Initiative OOI Science Themes OOI Science Questions
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. The OOI Website Web Quest and Web Quest Answer Key
12:00 pm	Lunch
12:45 pm	Introduction to the OOI Data Labs Share current suite of Data Labs and understand their intended uses. Online collection of Data Explorations
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. Primary Production Sample Lesson Handout
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. The Learning Cycle Learning Cycle: Two Balloons and Primary Productivity OSS 6-8 Simulation Activities Reading – The Ocean: A Giant Heat Reservoir
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 Labs Exploration and Discussion Worksheet Data Explorations Round-Robin Exploration – Chlorophyll across the year Application – Chlorophyll in and off shore Exploration – Processes that Change Salinity Application – Changes in Salinity with Depth Exploration – Plate Boundary Features 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 Anoxic Events Changes in Salinity
9:30 am	Quick Introduction to the OOI Instrumentation Hierarchy Explore OOI data platforms, instruments and data types OOI Site List OOI Instrument List OOI Decoder
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 Data Nuggets & Data Review Portal
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. OOI Data Crosswalk with Essentials of Oceanography 12th Edition Ocean Literacy Principles
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 Special Issue: OOI Introduction Irminger Sea Dissolved Oxygen Jigsaw Activity (pdf version, doc version)
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. Github Repo for the OOI Data Labs Workshop
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. Data Design Patterns Walkabout Handout Kim Kastens & Ruth Krumhansl (2017) Identifying Curriculum Design Patterns as a Strategy for Focusing Geoscience Education Research: A Proof of Concept Based on Teaching and Learning With Geoscience Data, Journal of Geoscience Education, 65:4, 373-392, DOI: 10.5408/16-217.1
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? Building an Ocean Data Lab – OOI Data Labs Workshop Workbook
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 Computing Resources Reference List The OOI Data Portal
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. Data Exploration/Lab Template Thinking Routines
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. Anoxic Events Instructors’ Guide
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? For inspiration watch OOI – Access the Ocean
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