Ocean Data Labs Webinars
Introducing OOI Data Labs Plus: A webinar series for Community College and University Professors Teaching Oceanography or Geoscience Courses
We are pleased to offer this webinar series to further support faculty teaching oceanography and geoscience courses. The series features three tracks:
- Introductions to new OOI Data Labs created by your peers;
- Additional pedagogical support to help you integrate new ideas for teaching with data, and
- Sessions to expand your skill in using Python in your courses.
Each webinar will last about 60-75 minutes and is meant to be more of an interactive discussion, so please make sure your camera and microphone are working. Preview each session’s linked content and bring your questions and ideas to share with your colleagues.
Each webinar will be recorded and uploaded to this web page, along with any additional resources. Please browse our current and previous offerings below.
Fall 2020 Recordings and Resources
September 16, 2020
OOI Data Labs Season Opener: “News You Can Use”
Presented by Melissa Hicks, Onondaga Community College; Catherine Halversen, Lawrence Hall of Science, UC-Berkeley; and the OOI Data Labs Project Team
Whether you are teaching face-to-face, remotely or somewhere in between, the Data Labs Project can support your efforts to introduce big data into your undergraduate courses. Join us to find out about newly-developed interactive online data-focused activities that are grounded in learning science – and consider how to effectively incorporate them into your courses. Dynamic Air-Sea Interactions will be used as a case study of a Data Exploration in the classroom.
September 23, 2020
NEW OOI Data Exploration: “Chlorophyll-a in Upwelling and Stratified Temperate Regions”
Presented by Claire Condie, Middlesex County College and Colleen Petrik, Texas A&M University
Additional collaborators: Karen Baker and Rob Ellis, Orange Coast Community College
This new OOI Data Exploration invites students to explore seawater characteristics that are correlated with changes in primary productivity, particularly during the summer in the North Pacific vs. the North Atlantic. The authors will review the activity and discuss preliminary implementation results.
October 7, 2020
NEW OOI Data Exploration: “Factors Affecting Primary Production”
Presented by Jean Anastasia, Suffolk County Community College; Dina Disantis, Montgomery County College; and Matt Iacchei, Hawai’i Pacific University
This new OOI Data Exploration invites students to explore how primary productivity varies throughout the year in the Southern Ocean, and to examine how multiple abiotic factors correlate with primary production. The authors will review the activity, suggest ways to incorporate it into coursework, and discuss preliminary implementation results.
October 22, 2020
NEW OOI Data Exploration: “Plate Tectonics and the Seafloor”
Presented by Benjamin Jordan, Brigham Young University – Hawai’i and Paul Webb, Roger Williams University
This new OOI Data Exploration invites students to explore the relationship between plate interactions and topographic features on the seafloor – and the potential for tsunamis – by using bathymetry and earthquake data. This data widget has also been expanded into a multi-part activity as part of an Online Laboratory Manual (in pilot testing) that uses OOI data to explore oceanographic topics. The presenters will review the widget and activities, suggest ways to incorporate it into coursework, and share preliminary implementation results.
November 11, 2020
NEW OOI Data Exploration: “Seasonal Variability in the Mixed Layer”
Presented by Rachel Eveleth, Oberlin College; Karin Lemkau, Western Washington University; and Ian Miller, Peninsula College
This new OOI Data Exploration invites students to explore ocean stratification including drivers and variability, while allowing students to grapple with data gaps, representation and interpretation – leading to a better understanding of mixed layer dynamics. The authors will review the activity, suggest ways to incorporate it into coursework, and discuss preliminary implementation results.
Fall 2019 – Spring 2020 Recordings and Resources
|October 30, 2019||
Designing Effective Learning Experiences Based on How People Learn
Dr. Catherine Halversen, Lawrence Hall of Science, University of California – Berkeley
In this interactive session, we will engage in discussions and activities focused on how to design effective learning experiences based on how people learn. We will explain how the Learning Cycle instructional model was used to frame our OOI Data Labs and how you can use it to improve your teaching practice. (90 minutes)
|November 6, 2019||
OOI Data Lab Introduction – “Changes in Salinity”
Dr. Matt Semcheski, The College of the Florida Keys; Karen Helgers, Ulster Community College – SUNY; Mike Phillips, Illinois Valley Community College
This new OOI Data Lab consists of three sets of activities developed to support students’ understanding of sea surface salinity and variables that affect salinity. Students are introduced to time-series data and are asked to interpret data trends, focusing on sea surface salinity at a single station in the North Pacific Ocean. Other activities examine changes in sea surface salinity and oceanic/atmospheric parameters over time, including data from other OOI arrays. The authors will review the activity and discuss implentation in their courses.
|November 14, 2019||
OOI Data Lab Introduction – “Anoxic Events”
Dr. Kathleen Browne, Rider University; Dr. Rebecca Freeman, University of Kentucky; Dr. Gabriela Smalley, Rider University
This new OOI Data Lab was designed to help students apply their knowledge about the relationship between atmospheric processes (wind) and oceanic processes (currents and upwelling) to explore a real scenario where these two systems can affect benthic organisms and marine fisheries. The authors will discuss implementation in three different learning contexts, from a large lecture class to small laboratory exercises.
|November 19, 2019||
Exploring Data Skills: Designing Experiences to Teach with Data
Kristin Hunter Thomson, Dataspire Education & Evaluation, LLC
In this interactive session, we will explore different strategies for designing learning experiences that help students develop quantitative skills. We will discuss how to utilize different data set models from Kastens & Krumhansl (2017) to more explicitly think about what we want our students to do with data, how we design our learning experiences to support that, and new things we can try.
|December 4, 2019||
OOI Data Lab Introduction: “Dynamic Air-Sea Interactions”
Jacqui Degan, Cape Fear Community College; Dr. Melissa Hicks, Onondaga Community College – SUNY; Dr. Paul Webb, Roger Wiliams University
This new OOI Data Lab allows students to explore several types of data (wave properties, barometric pressure, precipitation) associated with a dramatic atmospheric event on the New England continental shelf. Once students come to a conclusion as to the cause of the event, students are invited to reflect on how this oceanic event affects their life. This case requires students to think of the interaction between atmospheric and sea surface conditions, and the impacts to coastal societies. The authors will review the activity and discuss implementation in their courses.
|December 16, 2019||
Exploring Data Skills: Developing Student Data Skills
Kristin Hunter Thomson, Dataspire Education & Evaluation, LLC
In this session, we will explore how to create an on-ramp for student success with data exploration, as well as how to help students develop quantitative data skills. We will explore a range of data skills that are used when working with data and consider how we prioritize teaching and learning those skills. We will also review the pedagogical content knowledge that is at play when teaching with data, and some strategies to use when asking students to work with data.
|February 6, 2020||
OOI Data Lab Introduction: “Exploring Thermohaline Circulation”
Dr. Rich Dixon, Texas State University and Dr. Nick Beaird, Rutgers University
This new OOI Data Lab invites students to investigate the development of North Atlantic Deep Water (NADW) in the Irminger Sea. The three stages of the lab attempt to illustrate the connection between cooling and winds at the ocean surface, and the large ‘conveyor belt’ of ocean circulation. The authors will review the activity and suggest ways that it may fit into an introductory-level oceanography course.