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Hanselman, Jennifer, Scherer, Hannah, Donovan, Sam, Hale, Alison, Hamerlinck, Gabriela, (2016), "InTeGrate QUBES Faculty Mentoring Network", Online, : Online, August, . Cited by:
Mourad, Teresa, (2016), "Bringing data-rich experiences to undergraduate classrooms - ESA Education scholars pave the way", : September, . Cited by:
Donovan, Sam, Hale, Alison, Fleming-Davies, Arietta, Hamerlinck, Gabriela, Wojdak, Jeremy, Jenkins, Kristin, (2016), "Faculty Mentoring Networks: A Model for Promoting Teaching Scholarship in Quantitative Biology Education", National Association of Biology Teachers 2016 Annual Conference, Denver, Colorado: November, . Cited by:

Faculty Mentoring Networks (FMNs) are designed to support the development of teaching scholarship by promoting teacher identity, self-efficacy, and knowledge/experience via four core design principles. We draw these principles from our experience developing and running 13 FMNs with over 200 participants.

Donovan, Sam, Jenkins, Kristin, Hale, Alison, Hamerlinck, Gabriela, (2016), "Design, Implementation, and Evaluation of Faculty Mentoring Networks: A Model for Promoting Faculty Teaching Scholarship", National Association of Biology Teachers 2016 Annual Conference, : Denver, Colorado, November, . Cited by:

NGSS, AP Biology, and Vision & Change all highlight the importance of quantitative skills to understanding biology. The Quantitative Undergraduate Biology Education and Synthesis (QUBES, qubeshub.org) project addresses the many of the challenges associated with improving students’ quantitative skills. Although the project primarily focuses onundergraduate settings, high school faculty may also find the project resources valuable.This symposium will include 3-4 brief presentations by faculty who have adapted and used a diverse collection quantitative reasoning teaching resources as part of their participation in various Faculty Mentoring Networks (FMNs). FMNs are long duration, low intensity, online learning communities that support faculty through the customization and implementation of effective teaching materials. The FMNs represented will include HHMI Biointeractive, ESA/TIEE, DryadLab, and AIMS. These projects are all chosen because they leverage existing high quality quantitative teaching resources that should be of interest to the broad NABT audience. The resources will be presented as a collection of “implementation stories” which feature peer-to-peer descriptions of how a wide range of disciplinary topics, institutional settings, and quantitative skills were accommodated. Portions of these resources will be distributed during the symposium and additional supporting materials will be available online.In addition to sharing specific teaching resources we will highlight ways for symposium attendees to participate in the QUBES project. An introductory presentation will raise attendees awareness of our approach to supporting quantitative reasoning in biology classrooms and share opportunities for their participation in future Faculty Mentoring Networks. The closing presentation will reflect on, and generalize from, the specific “implementation stories” to provide an overview of how Faculty Mentoring Networks are used to support teaching scholarship, and ways that attendees can participate.

LaMar, Drew, (2016), "A Framework for Teaching Modeling to Biologists", SIAM Conference on Applied Mathematics Education, : Philadelphia, PA, September, . Cited by:

What are the modeling skills and metacognitive strategies of importance for the life sciences? In this talk, we describe a teaching and learning framework around modeling that (1) highlights the sometimes hidden role of models and modeling in the sciences, and (2) points to a possible path forward on how to move from using models as illustrative tools to using modeling as a process of discovery.

Diaz Eaton, Carrie, (2016), "A Framework for Modeling to Encourage Interdisciplinary Conversations", SIAM Conference on Applied Mathematics Education, : Philadelphia, PA, September, . Cited by:

Here we present a framework for thinking about what models and modeling are, particularly to other disciplines. We encourage that differing disciplinary approaches are seen as part of a larger picture of this framework, thinking about model representations in the rule of five, and modeling as the act of moving between representations. We provide examples to illustrate and acknowledge language can interfere with helping students make connections between disciplines, even between statistics and mathematical modeling. Although in targeted to teaching modeling skills to biologists, the lessons can be extrapolated to a variety of other interdisciplinary conversations.

Fleming-Davies, Arietta, Hamerlinck, Gabriela, Hale, Alison N, Langen, Tom, Mourad, Teresa, Jenkins, Kristin, Donovan, Sam, (2016), "Confronting the challenges of bringing research data into undergraduate classrooms using online faculty mentoring networks", National Association of Biology Teachers 2016 Annual Conference, : Denver, Colorado, November, . Cited by:

Using ecological research data in undergraduate courses has many potential benefits for student learning. Students gain knowledge of ecological concepts, increased understanding of the scientific process, and meaningful opportunities to develop and practice quantitative skills (Langen et al. 2014). As ecological datasets continue to become larger and more complex, faculty may need additional support both to build their own skills and to teach effectively with research data. 

Fleming-Davies, Arietta, Hamerlinck, Gabriela, Hale, Alison N, Langen, Tom, Mourad, Teresa, Jenkins, Kristin, Donovan, Sam, (2016), "Confronting the challenges of bringing research data into undergraduate classrooms using online faculty mentoring networks", Ecological Society of America Annual Conference 2016, : Fort Lauderdale, Florida, August, . Cited by:

Using ecological research data in undergraduate courses has many potential benefits for student learning. Students gain knowledge of ecological concepts, increased understanding of the scientific process, and meaningful opportunities to develop and practice quantitative skills (Langen et al. 2014). As ecological datasets continue to become larger and more complex, faculty may need additional support both to build their own skills and to teach effectively with research data. 

Orndorf, Hayley, Morgan, William, Grandgenett, Neal, Pauley, Mark, Ryder, Liz, Sierk, Michael, Wright, Robin, Rosenwald, Anne, Dinsdale, Elizabeth, Triplett, Eric W, Donovan, Sam, (2016), "Incubators: A community based model for improving the usability of bioinformatics learning resources", National Association of Biology Teachers 2016 Annual Conference, : Denver, Colorado, November, . Cited by:

There are a variety of barriers to faculty participation in scholarly approaches to teaching. Primary among these are the challenges undergraduate faculty face in finding and participating in a scholarly community, and in receiving academic credit for their work. The Open Education Resources (OER) movement was designed in part to make it easier for faculty to share their work, particularly in the context of adopting and adapting existing resources. However, participation in the OER community by undergraduate biology faculty is hampered by a lack of awareness, lack of an active disciplinary community, and technical difficulties involved in sharing modified materials. Furthermore, recognition for this type of teaching scholarship is undermined by the lack of clear and consistent ways to document participants' intellectual contributions. We have designed a system for facilitating collaborative projects around existing learning resources that both improve the quality of the materials and also document participant contributions. Incubators are small, peer-driven, relatively short-lived, online communities that work with a learning resource to 1) move it toward publication, 2) improve its usability, and 3) provide customizations for different student audiences and teaching settings. Incubators are formed around specifically identified goals in one or more of these areas. Incubator participants work in an online environment with both editorial and technical facilitators to produce materials that will be shared publicly, with the ultimate goal of publication in an open-access journal. This work is a collaboration between the NSF- funded Network for Integrating Bioinformatics into Life Sciences Education (NIBLSE) and the Quantitative Undergraduate Biology Education & Synthesis (QUBES) projects. The NIBLSE community brings both bioinformatics teaching expertise and learning resources to the Incubators. The QUBES community provides online infrastructure and experience in facilitating online collaboration and publication. Please visit https://qubeshub.org/groups/niblse/resourcecollection for more information.

Griffin, Michael P., (2016), "Clarkson University Faculty Participate in Teaching Workshop to Make Quantitative Biology More Accessible", : July, . Cited by:
Hanselman, Jennifer, Scherer, Hannah, Donovan, Sam, Hale, Alison, (2016), "Adapting geoscience materials for introductory biology courses using the Faculty Mentoring Network", Earth Educators' Rendezvous, : Madison, Wisconsin, July, . Cited by:

InTeGrate and the Quantitative Undergraduate Biology Education and Synthesis (QUBES) project have partnered to support the adaptation of these geoscience modules into introductory biology courses. The modules all include a systems thinking approach while focusing on students' metacognitive abilities. The QUBES project partners with high quality content providers, like InTeGrate, to coordinate long duration (3-4 month), low intensity (biweekly synchronous meetings) faculty communities called faculty mentoring networks (FMN). The goal of a FMN is to support the faculty community through the process of customizing the materials for use in their instructional settings, implementing them with students, and publishing the products for use by other faculty. These efforts provide rich scholarly experiences for participants and add value to the existing teaching materials by building paradata (information about the use of the materials) that will support future adoption.Situated learning postulates that learning is embedded in experience such that learning outcomes for participants in the FMN are a product of their efforts to incorporate geoscience concepts into biology courses. Analysis of FMN activities from the perspective of situated learning in a community of practice allows for identification of mechanisms through which participants learn from their experience, each other, and input and facilitation from the mentors. Understanding how the participants experienced the FMN leads to identification of components of the FMN that were particularly instrumental or detrimental to faculty adaptation and implementation of InTeGrate materials. Faculty are adapting InTeGrate modules for the biology context with a range of approaches and degrees of revision. Analysis of how faculty approach these changes provides insight into strategies for supporting more faculty members in the use of existing materials in new disciplinary settings.

Monfils, Anna K., Ellwood, Elizabeth, Linton, Debra L., Phillips, Molly, Cook, Joseph, Kerski, Joseph, Barbaro, Tracy, Donovan, Sam, Powers, Karen, Prather, L. Alan, Guralnick, Rob, (2016), "Integrating Natural History Collections into Undergraduate Education: Creating the Resources and Growing the Community", GREEN MUSEUM – HOW TO PRACTICE WHAT WE PREACH? 2016 SPNHC conference, : Berlin, Germany, June, . Cited by:

Natural history collection specimens and associated data provide unique physicaland virtual opportunities to engage students in the practice of science in authentic, place based lessons. We will present information on how collections, and the data associated with collections, can facilitate student learning and teach valuable skill sets necessary for the 21st century workforce. The talk will highlight ongoing efforts to engage students using museum data and provide examples of current educational opportunities and existing educational modules. We will present results from recent surveys of students working in collections, collection professionals speaking to new skill sets needed for workforce training, and the collections community's insight on future directions in the use of museums in undergraduate education. We will address challenges associated with implementing natural history collection modules into undergraduate education and introduce emerging collaborative efforts to incorporate specimens and associated data into the undergraduate curriculum.

Grayson, Kristine, Hale, Alison, Wu, X-Ben, (2016), "Data-based inquiry in the Classroom using Authentic Research Data from the Dryad Digital Repository", 2016 National Academies Special Topics Summer Institute on Quantitative Biology “Lowering the Activation Energy: Making Quantitative Biology More Accessible", : Raleigh, North Carolina, June, . Cited by:

Looking for real datasets to use in the classroom? DryadLab modules encourage students to focus on core competencies such as critical thinking and data analysis by promoting an active learning environment for all students. Through the use of authentic data sets, students develop an ability to analyze and represent data to solve a problem, understand the relationship between the data and the hypothesis, cope with missing data, recognize confounding factors, interpret ambiguous results, and come to better understand how scientific knowledge is constructed – come learn how to use these materials in your classroom!

Poli, DorothyBelle, Cartier, Jen, Donovan, Sam, Diaz Eaton, Carrie, Gower, Stith, Jenkins, Kristin, LaMar, M. Drew, Sheehy, Bob, Wojdak, Jeremy, Hale, Alison N., Fleming-Davies, Arietta, (2016), "Supporting Faculty in Quantitative Undergraduate Biology Education and Synthesis (QUBES)", Envisioning the Future of STEM Education (EnFUSE) AAAS, : Washington, DC, April, . Cited by:
Eaton, Carrie D., Donovan, Sam, Gower, Stith, Jenkins, Kristin, LaMar, M. Drew, Poli, DorothyBelle, Sheehy, Robert, Wojdak, Jeremy, Hale, Alison N., Fleming-Davies, Arietta, (2015), "?", Gordon Research Conference on Undergraduate Biology Education Research, : Lewiston, ME, July, . Cited by:
Just, Winfried, Callender, Hannah, LaMar, M. Drew, Raina S. Robeva (2015), "Disease Transmission Dynamics on Networks: Network Structure Versus Disease Dynamics", Algebraic and Discrete Mathematical Methods for Modern Biology, first, Academic Press: pg: 217-235, March, 9780128012130, . Cited by:
Just, Winfried, Callender, Hannah, LaMar, M. Drew, Toporikova, Natalia, Raina S. Robeva (2015), "Transmission of Infectious Diseases: Data, Models, and Simulations", Algebraic and Discrete Mathematical Methods for Modern Biology, first, Academic Press: pg: 193-215, March, 9780128012130, . Cited by:
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