Presentations

The Data Incubator Group has presented our work at several conferences including the Gordon Research Conference on Undergraduate Biology Education Research, the National Association of Biology Teachers (NABT) annual conference, and the Ecological Society of America (ESA). These presentations address gaps in the curriculum cycle for open educational resources (OER) and contributing to a community framework for large-scale sharing and adaptation of data-centric teaching materials. 

Closing the Gap in the Open Educational Resources (OER) Life Cycle for Using Research Data in the Ecology Classroom

Kristine Grayson, Kaitlin Bonner, Arietta Fleming-Davies, Ben Wu, Raisa Hernández-Pacheco

Version: 1.0

Poster presented at the 2018 meeting of the Ecological Society of America on gaps in the curriculum cycle for open educational resources (OER) and our work supporting sharing and adaptation of data-centric teaching resources for ecology classrooms
OER, Ecological Society of America, DIG, oer life cycle
2.7K
417
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0
12.2020
Poster presented at the 2019 meeting of the National Association of Biology Teachers on barriers to fully utilizing the complete Open Education Resources lifecycle
data-centric teaching, oer life cycle
2.4K
680
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7
12.2020

Facilitating the implementation and adaptation of data-centric teaching resources by closing gaps in the Open Education Resource (OER) lifecycle

Kaitlin Bonner, Arietta Fleming-Davies, Kristine Grayson, Ben Wu, Raisa Hernández-Pacheco

Version: 1.0

Presentation on data-centric open educational resources given at the 2019 UBER-GRC
DIG, data-centric teaching
1.4K
329
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07.2019

 

Workshop: DIG into Data for the Biology Classroom

Kaitlin Bonner, St. John Fisher College; Arietta Fleming-Davies, University of San Diego; Kristine Grayson, University of Richmond; Raisa Hernández-Pacheco, University of Richmond

Presented at the 2018 BioQuest/QUBES Summer Workshop and 2019 BioQuest/QUBES Summer Workshop

In this workshop, participants will explore ecological data-centric teaching modules produced by the Data Incubator Group (DIG) in a recent Faculty Mentoring Network (FMN). Participants in the FMN developed data-rich teaching materials that were published in a special issue of the Ecological Society of America’s Teaching Issues and Experiments in Ecology (TIEE). These modules incorporate real ecological datasets on a variety of topics including climate change, species distributions, parasitism, aquatic invertebrate communities, human diseases, and others. While exploring these datasets, students are also introduced to different data science tools, including GIS, the statistical software R, spreadsheet-based analyses, and mark-recapture software.

At the end of the workshop, we will also discuss how these materials are being used to explore a new model for Open Education Resources (OER), in which instructors publicly re-share their own modifications of others' published materials. Participants will learn about current and future opportunities to participate in this community.

DIGging Into Data and getting the credit

Kaitlin Bonner, Arietta Fleming-Davies, Kristine Grayson, Ben Wu, Raisa Hernández-Pacheco

Version: 1.0

Presentation on using and adapting OER data-centric resources
data, 2019 QUBES/BioQUEST Summer Workshop, data-centric teaching, oer life cycle
1.7K
360
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07.2019

DIG into Data for the Biology Classroom

Kaitlin Bonner, Arietta Fleming-Davies, Kristine Grayson, Raisa Hernández-Pacheco

Version: 1.0

Session presentation on ecological data-centric teaching modules at the 2018 QUBES/BioQUEST Summer Workshop
teaching with data., DIG, Summer Workshop 2018, ecological datasets
1.6K
828
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06.2018

Workshop: Best practices for using authentic research data to teach core concepts

Elizabeth Schultheis, Michigan State University; Kristine Grayson, University of Richmond; Melissa K. Kjelvik, Michigan State University; Kaitlin Bonner, St. John Fisher College; Arietta Fleming-Davies, University of San Diego

Presented at the 4th Life Discovery Conference 

Link to the Workshop Materials

Observations of nature and experimental research often yield datasets that are complicated, messy, and full of variation. Students may be exposed to authentic data for the first time when they perform their own inquiry projects, leaving them underprepared. We argue it is important for students to frequently engage with authentic datasets to build a foundation to properly analyze and interpret their own data from inquiry investigations. Helping students understand variation and messiness in data is a key life skill and will build their confidence for interacting with complex datasets during their careers or as informed citizens. While the value of bringing real data into the classroom is recognized, classroom implementation can seem overwhelming. For example, how do you help students go from developing their own scientific question to actually finding, utilizing, and interpreting relevant data?

In this workshop, we will discuss best practices for bringing real data into the classroom to improve student quantitative reasoning abilities. We will introduce Data Nuggets, DryadLab, and Teaching Experiments in Ecology and Evolution (TIEE) as effective classroom resources to help scaffold student abilities when working with data, as well as the process of developing new classroom resources based on publically available research data. We will focus on the steps necessary to build student proficiency in practices that scientists employ when asking and answering scientific questions. We will identify learning objectives necessary for a scientifically literate citizenry, and how the use of real data can uniquely help achieve these learning objectives.

Workshop participants will discuss steps from finding data from reputable sources, identifying learning objectives, helping students ask and test their own scientific questions, data analysis and interpretation, and eventually turning classroom materials into publishable teaching resources.