Participants from our June OOI Data Lab Development Workshop

Participants at our June OOI Data Lab Development Workshop included 10 faculty from California to Rhode Island, and even a few from Texas.

OOI Ocean Data Labs Development Workshop

June 1-6, 2019

Rutgers University Inn, New Brunswick, NJ

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

Saturday

Orientation – Saturday June 1, 2019

Time Topic, Objectives & Activities
4:00 pm Check -in begins at the University Inn
6:00 pm Dinner – University Inn Dining Room
7:00 pm Welcome and Introductions
Meet each other and review the goals of the week.
8:30 pm Conclude for evening
Sunday

Day 1 – Sunday June 1, 2019

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

Time Topic, Objectives & Activities
8:00 am Breakfast
9:00 am 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.

10:30 am Coffee Break
10:45 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.

11:30 am Introduction to the OOI Data Labs
Share current suite of Data Labs and understand their intended uses.

12:15 pm Lunch
1:15 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.

2:00 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.

3:00 pm Coffee Break
3:15 pm Explore Existing OOI Data Labs (Chemistry, Biology, or Geology)
Hands on exploration of previously developed Data Labs.

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
4:30 pm Workshop Expectations and Feedback
Review options for Data Lab creation. Reflect on what was learned today.
Road Check #1
5:00 pm Free Time
6:00 pm Group Dinner
Monday

Day 2 – Monday June 3, 2019

Objective: Exploring OOI data and building data skills.

8:00 am Breakfast
9:00 am Introduction to Curated Data Nuggets and OOI Data Documents
Introduce Data Nuggets web site and explore data platforms. Quick intro to the OOI Data Portal. Understand data available to create your own Data Lab.

10:00 am Coffee Break
10:15 am Data Lab Work Session: Backwards Design Step 1
What are the big ideas and important understandings? What do you want your students to know/be able to do with that concept?
What science questions are you interested in using OOI data?
Explore Ocean Literacy Principles and OOI Data Lab crosswalk in light of your syllabus
Form topic groups based on shared interests; develop content learning objectives
Review OOI data parameters

12:00 pm Lunch
12:45 pm Data Lab – Product Development Options – Review
Define the product you will develop during this workshop
1:00 pm OOI Science: A Case Study from the Irminger Sea
Explore a published dataset from the Irminger Sea that demonstrates a disciplinary core idea (science) and the visualization process.

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
3:30 pm Using Python as an Educational Tool
Continuing exploring Python as a computing tool to work with OOI datasets
4:30 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
5:15 pm Reflection and Feedback
Review and reflect on the day. What excited you about today – what would you share with a colleague about today’s work?
Complete on-line Road Check #2
5:30 pm Free time and dinner on your own
Tuesday

Day 3 – Tuesday June 4, 2019

Objective: Creating a Data Lab.

Time Topic, Objectives & Activities
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 Steps 1 & 2
Refine the big ideas, goals and assessment for your proposed activity.
10:45 am Coffee Break
11:00 am Python Skills Building
Practice requesting data from the OOI Data Portal and working with the resultant dataset in Python

12:00 pm Lunch
1:00 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.
2:15 pm Coffee Break
2:30 pm Teaching with Data Pedagogy
Session B: Developing Data Skills
Create an on-ramp for student success with data exploration and help students develop quantitative data skills.
3:00 pm Data Lab Work Session: Backwards Design Step 3b: Challenge Question and Step 3c: Investigation Questions
Identify how you will challenge your students to analyze the provided dataset(s). What practice(s) will they use?
Develop questions that will help your students address the research challenge.
4:15 pm Reflection and Feedback
Review and reflect on today’s activities and takeaways.
Complete on-line Road Check #3
4:30 pm Tour of RU COOL Room and Glider Lab – Marine and Coastal Sciences Building
Find out more about research activities at the Rutgers Center for Ocean Observing Leadership (RU-COOL)
5:30 pm Reception – Marine and Coastal Sciences Building Lobby
6:30 pm Free Time
Wednesday

Day 4 – Wednesday June 5, 2019

Objective: Develop and refine your OOI customized resource

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.

10:00 am Data Lab Work Session – Step 3c: Design Data Tips
Develop guidance on how to design and execute a data interactive for your Data Lab
10:30 am Coffee Break
11:30 am Group Checkin
How can we help get over challenges we are encountering? Groups share progress and challenges.
12:00 pm Lunch
1:00 pm Teaching with Data Pedagogy
Session C: Getting Students to Visualize Data
Explore the big picture of skills needed to make decisions about different graph types.
Exploring Learning Science Pedagogy
Foundational Ideas on Learning 
Discuss and expand your understanding of how people learn and how to bring these ideas into your teaching.

Exploring Learning Science Pedagogy
Exploring the role of Prior Knowledge in Learning
Activity and discussion about the role of prior knowledge in learning.
2:00 pm Data Lab Work Session – Backwards Design Step 3d and 3e: Background 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
3:15 pm Backwards Design Step 3 Work Session
Work on refining and sharing plans for your Data Lab.
Revisit assessment options.  How will you know your students have learned? 
Develop Instructor Notes for your Data Lab.
4:45 pm Reflection and Feedback
Review and reflect on what was learned today.
Complete on-line Road Check #4.
5:00 pm Free Time
6:00 pm Dinner – BBQ at the University Inn Dining Room
Thursday

Day 5 – Thursday June 6, 2019

Objective: Looking forward and planning for future

Time Topic, Objectives & Activities
8:00 am Breakfast
9:00 am Work Session
10:15 am Coffee Break
10:30 am Presentations (10 minutes/group)
Share what level you will engage in moving forward; what have you accomplished? How will you move forward?
11:30 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? See video for inspiration.
12:00pm Final Reflection and Farewell Lunch
Summary reflection and final logistics
Final Road Check
2:00 pm Depart for home

Workshop Participants

Professors

  • Karen Baker, Orange Coast College
  • Nicholas Beaird, Rutgers University – New Brunswick
  • Claire Condie, Middlesex County College
  • Rich Dixon, Texas State University
  • Jacqui Degan, Cape Fear Community College
  • Robert Ellis, Orange Coast College
  • Melissa Hicks, Onondaga Community College
  • Siddhartha Mitra, East Carolina University
  • Colleen Petrik, Texas A&M University
  • Paul Webb, Roger Wiliams University

Facilitators

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