Welcome to the OOI Data Lab Workshop Ocean
Welcome to the OOI Data Lab Workshop Ocean Science Meeting February 2020 datalab. marine. rutgers. edu
Workshop Objectives • Learn about the OOI program and key science questions it addresses. • Access existing tools and resources designed to integrate OOI data into teaching. • Discuss how to effectively incorporate OOI data labs into undergraduate teaching. • Have an opportunity to network with other professors interested in using oceanographic data in undergraduate teaching. Data Labs 2020 2
Table Discussion What do you hope to get out of today’s workshop? Data Labs 2020 3
OOI Data Labs Project Goals 1) Address the challenges of teaching with data & support opportunities for professors and undergraduates to become more expert users of OOI data. 1) Increase undergraduates engagement in and understanding of core concepts through use of OOI data. http: //datalab. marine. rutgers. edu Data Labs 4 2020
New Educational Content using OOI Data Develop user-friendly, online data interactives that provide short interactions with OOI data to augment teaching & learning of core concepts in Introduction to Oceanography courses. Integration of OOI into Introductory Oceanography courses 5 Data Labs 2020
Workshop Team Christine Bean, Janice Mc. Donnell, Sage Lichtenwalner Rutgers University Anna Pfeiffer-Herbert Stockton University Data Labs 2020 Dax Soule Queens College CUNY Catherine Halversen UC Berkeley Denise Bristol Hillsborough CC Brooke Love Western Washington Univ 6
Data Labs Development Workshops ü Princeton, NJ – March 8 -13, 2019 ü Rutgers University, New Brunswick, NJ June 1 -6, 2019 ü Asilomar Conference Center, Monterey, CA July 22 -26, 2019 ü Western Washington University, Bellingham, WA August 19 -23, 2019 Data Labs 2020 7
Building a Co. P Using OOI Data in Teaching By providing sustained professional development opportunities and support in facilitating communication and the sharing of ideas and teaching practice, we are building an OOI focused Community of Practice for teaching with data Data Labs 2020 8
The growing Ocean Data Labs community • Data Exploration pilot testers (24) • Data Lab developers (50) • 2020 Data Lab Fellows (11) • Data Lab project team leaders https: //datalab. marine. rutgers. edu/community-map/ Data Labs 9 2020
What is teaching with data? Any learning process that uses observations in a way that: -- supports student inquiry and participation in the scientific method -- supports effective evaluation of data uncertainties and applicability -- improves students' quantitative and critical thinking skills. Definition developed by SERC – Carleton College Data Labs 2020 10
Provide opportunities for students to struggle with meaning making ü The heart of the learning cycle is providing opportunities for the learner to struggle to make sense of discoveries, explorations, and phenomena. ü Engage students with questions and ideas, and encourage them to explain what’s going on. ü Prompt students to make connections and describe and/or discover the relationship between ideas. ü Meaning making can take place at every phase of the learning cycle. You want students continually asking: "What is going on here? " “Maybe it can be explained like this…” Data Labs 2020 11
We all bring experience teaching with data… What are the challenges and opportunities? Data Labs 2020 12
Challenges and Opportunities Most agreed that using data in classes would increase relevance of material to the students. • challenges arise with high class numbers, different levels of abilities with • Hard to identify data sets that are relevant and useable for undergraduate audience • Data should be easily accessible, in a digital format that all students can access, and also not be overly complicated so that a student with limited background could still understand the material. Data Labs 2020 13
Idealized Data vs. Real World Data • We must produce the workforce (or the citizenry) with the skills, knowledge and judgment to make wise use of the data streams that our technologies are delivering. • Using OOI data gives students practice in working with data that is messy, complete with outliers, and data gaps just like the real world. Data Labs 2020 14
Cultivating Data Literacy means cultivating ability to… üArticulate questions üDesign experiments üDevelop methods and tools üCollect data/ select data üAnalyze data üDetermine level of confidence in results üCommunicate findings Data Labs 2020 15
Ways we use data Understanding of what is already known New discipline knowledge generation Data Labs 2020 16
Kinds of data we use Real world data Data of idealized patterns Data Labs 2020
Different aspects of using data in teaching Real world data What data-based labs/demos can do When we do field work & model with data Understanding of what is already known New discipline knowledge generation What textbooks do When we model theory Data of idealized patterns Data Labs 2020
The Ocean Observatories Initiative: An overview Sage Lichtenwalner Data Labs 2020 19
Background • Long history of interest in teaching with data Data Labs 2020 20
Evolving Tools Idea 2. The Data Investigation Builder Idea 1: The Cool Classroom A problem-based learning approach Data Labs 2020 Idea 3. Data Explorer Knowledge centered, Learner centered, Assessment centered, Backwards Design Wizard 21
Data skills scope of Data Labs Our scope = 1. Using professionally-collected data in teaching of concepts 2. Visualizing data in a user-friendly and authentic way 3. Enabling students to interactively engage with data in their learning to see the patterns as they are learning the why Data Labs 2020 22
The three levels of engagement • Orientation o. Using data is very new to learners; they need a lot of guidance from the educator(s). • Interpretation o. Learners have basic data skills, and are practicing applying data to what they are studying about a topic. • Synthesis o. Learners are skilled at “reading” data, and can proceed to using it as evidence to construct conclusions about the science. Data Labs 2020 23
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Introduction to Data Explorations Anna & Denise Data Labs 2020 26
Each Pair take one Data Lab 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 – Seismic Features of a seamount 6. Application – Geological Features of a Seamount - 2 Data Labs 2020 27
http: //datalab. marine. rutgers. edu Data Labs 2020 28
Individual Reflection Think for a moment about where you are in this workshop What have you learned? What do you still need going forward? Data Labs 2020 29
Lunch Break Data Labs 2020 30
Value of Teaching with Data Labs 2020 31
Thank you! 32 We are excited and grateful for your partnership Data Labs 2020
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