This NSF-sponsored workshop will focus on the relocation of the NSF OOI Pioneer Array to the Mid-Atlantic, and the potential this move will provide for future educational lessons and student research activities. We will also collaboratively review the existing collection of OOI educational resources and the current state of programming notebook-based activities. A key goal of the workshop will be to identify gaps, needs and the potential for the development of future OOI educational resources.
Professors who teach or are developing introductory or upper level oceanography courses are encouraged to apply. Especially those from the Mid-Atlantic, or those teaching about Mid-Atlantic coastal processes. Those teaching data skills in environmental, ecological, or data science courses with marine science emphasis are also welcome. We also highly encourage faculty at HBCU, MSI, HSI, Tribal, 2-year (i.e. community college), and primarily undergraduate institutions (PUI) to consider attending as well, as this workshop primarily focuses on the educational potential of the OOI.
Key Workshop Objectives
During the workshop, participants will:
Learn about the OOI program and key science questions it addresses.
Explore how to use OOI Data Labs resources and effectively incorporate data-rich lessons into your classes.
Create a classroom Implementation plan that integrates OOI data into your teaching.
In addition, participants will:
Be introduced to methods for accessing and engaging students in OOI data directly (e.g. via the Data Explorer, Python notebooks, and ERDDAP) to support advanced data literacy skills building.
Network with other professors interested in using oceanographic data in undergraduate education.
Workshop participants on the trolly on their way to the first night of presentations.
Participants discuss how best to interpret a graph as part of a nonsense data activity.
MAB Workshop participants work together on an activity.
Stace B. from the OOI program works with participants work on their activities.
Participants had a chance to check out buoys and other ocean observing instruments from UNCW researchers.
MAB Workshop participants work on an activity together.
The Data Labs team on the pier at UNCW.
Workshop Overview
The workshop will begin on Sunday evening with an opening session and reception, and will conclude on Wednesday afternoon.
Sunday (Day 1): Welcome: Laying the groundwork for understanding and using OOI data in teaching.
Monday (Day 2): Explore the OOI Data Labs collection: Review the OOI Lab Manual and create/discuss a plan for how you can customize activities for different classroom applications.
Tuesday (Day 3): Expanding access to OOI data: Explore a range of options for engaging students in OOI data directly and the potential for future educational activities.
Wednesday (Day 4): Reflection and looking forward: Educational share-a-thon of your preliminary curriculum plans and applications of OOI in your teaching.
Workshop Agenda
Participant Agenda (pdf) – This will likely change as we adapt the schedule during the workshop.
Sunday
Sunday, June 2
Objective: Welcome & Introductions
Time
Topic, Objectives & Activities
3:00 pm
Check in at the hotel. Transportation to the Front Street Brewery at 3:30 pm.
4:00 pm
Welcome and Introductions at the Front Street Brewery! Front Street Brewery – 9 North Front Street, Wilmington, NC Meet each other and the project team and review the goals of the week.
5:00 pm
Why Ocean Observatory Education? Highlight and discuss the challenges of teaching with authentic data. What is it like for learners to work with information that is new and overwhelming? Introduce how OOS and the OOI can help.
The OOI Today: An introduction to its history and the science it supports Learn about why and how the OOI was created, the scientific questions it is trying to address and the kinds of cutting-edge oceanographic research it can support.
Objective: Explore the Data Labs collection. Start building your classroom plan.
Time
Topic, Objectives & Activities
7:00 am
Breakfast available at hotel
8:15 am
Cars leave for UNCW
9:00 am
Welcome and Announcements Review agenda, results of yesterday’s QFT activity, and any questions participants came up with overnight.
9:15 am
Teaching with OOI Data Labs: Introduction to the OOI Data Lab Manual Introduce the OOI Data Labs resources (including philosophy, contents, flexibility for different modalities, and alignment with oceanography curriculum).
THINKING BIG: Transitioning Your Students from Working with Small, Student-Collected Data Sets toward ‘Big Data.’ (Kastens, 2015)
10:30 am
Coffee Break
10:45 am
Lightning Talks from Peer Data Lab Professors Understand how the OOI can be integrated into undergraduate teaching by looking at past implementations. Peer faculty share their teaching approach and advice for implementing Data Labs resources in their classroom.
Introduction to Implementation Planning Review the implementation worksheet to guide your planning. Participants have the option to work in small groups and/or consult with facilitators and peer educators on their individual course ideas.
OOI Infrastructure: Introduction to the OOI Data Explorer and Data Access Explore and expand on data platforms, instrumentation, data discovery and access. Explore the Data Explorer in pairs to discover what’s there and how to use it.
A QuickStart Guide to Python Introduction to how Python notebooks can be used by faculty and students to directly access and visualization OOI datasets for analysis, particularly from the new Pioneer MAB Array.
Jupyter Notebook Enabled Education Demonstrate the teaching advantages of an instructor-controlled computing environment using OOI JupyterHub.
10:45 am
Coffee Break
11:00 am
Pioneer Array Science! An introduction to the new Pioneer Mid Atlantic Bight Array with Dr. Mike Muglia, from the North Carolina Coastal Studies Institute.
Google map of the locations we will be working at during this workshop.
Workshop Participants
Kimberly Albins, University of Mobile
Julienne Beblo, UNC Chapel Hill
Callan Bentley, Piedmont Virginia Community College
Christian Briseno-Avena, UNCW
Reanna Camp-Witmer, Chemeketa Community College
Patricia Caroccia, Tidewater Community College Norfolk Campus
Julie Cisneros, Palm Beach State College
Martin Farley, University of North Carolina at Pembroke
Sheri Floge, Wake Forest University
Kelly Gibson, University of South Carolina Aiken
Donglai Gong, Virginia Institute of Marine Science
Lauren Graniero, UNCW
Derek Grimes, UNCW
Lisa Hall, Virginia Peninsula Community College
Christa Haney, Mississippi State University
Angelos Hannides, Coastal Carolina University
Warner Ithier-Guzman, Daytona State College
David Kratzmann, Santa Rosa Junior College
Mark Lammers, UNCW
Sarah Larson, North Carolina State University
Henri Liauw A Pau, Broward College
Qianqian Liu, UNCW
Karen Meyer, St. Johns River State College
Eric Montie, University of South Carolina Beaufort
Michael Phillips, Illinois Valley Community College
Troy Sadler, University of North Carolina at Chapel Hill
Nicole Schanke, College of Charleston
Sheldon Skaggs, Bronx Community College, CUNY
Ata Suanda, UNCW
Gerardo Toro-Farmer, New College of Florida
Dana Vukajlovich, Bellevue College
Karin Warren, Randolph College
Alexander Wurm, Western New England University
Local Hosts
Phil Bresnahan, UNCW
Jacqui Degan, Cape Fear Community College (also a Peer Presenter)
Lynn Leonard, UNCW
Jason Rogers, Cape Fear Community College
Peer Presenters
Jean Anastasia, SUNY Suffolk Community College
Karen Bridges, Howard Community College
Joe Long, UNCW
Facilitators & Presenters
Name
Institution
Role
Janice McDonnell
Rutgers University – New Brunswick
Project Lead
Stace Beaulieu
Woods Hole Oceanographic Institution
OOI Data Ambassador
Denise Bristol
Hillsborough Community College
Co-PI Teaching & Pedagogy
Sage Lichtenwalner
Rutgers University – New Brunswick
Co-PI OOI Data Access and Visualization
Mike Muglia
Coastal Studies Institute
OOI Pioneer MAB Scientist
Kristin O’Connell
Carleton College
Project Evaluator
Anna Pfeiffer-Herbert
Stockton University
Co-PI Teaching & Pedagogy
Dax Soule
Queens College CUNY
Co-PI Engaging students in data & programming
Mitaali Taskar
Rutgers University – New Brunswick
Project Coordinator
Please contact mcdonnel@marine.rutgers.edu with any questions.
Note, the OOI Facilities Board is hosting a separate community workshop in September, focused on the science and education initiatives that can be addressed by the relocated Pioneer Array. Their application deadline is March 26. The OOI Data Labs workshop will focus primarily on educational opportunities.
