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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. 

Jenkins, Kristin, Hamerlinck, Gaby, Donovan, Sam, Hale, Alison, Orndorf, Hayley, LaMar, M. Drew, Fleming-Davies, Arietta, Wojdak, Jeremy, Gower, Stith, (2016), "“Lowering the Activation Energy: Making Quantitative Biology More Accessible"", 2016 National Academies Special Topics Summer Institute on Quantitative Biology, : North Carolina State University, Raleigh, North Carolina, June, . Cited by:

Modeled on the National Academies Summer Institutes, the Quantitative Biology Summer Institute (QB SI) is presented by BioQUEST, Science Case Net and QUBES.  This will be a working meeting during which participants will learn about and use evidence-based teaching strategies such as backward design, active learning, and assessment, as well as methods such as cases and modeling.  Hands on sessions at the institute will focus on resources and methods to address the special challenges associated with teaching quantitative biology.  The workshop is developed by BioQUEST, which celebrates 30 years of leadership in biology education reform in 2016, and Science Case Network, which brings expertise on using case based pedagogies. The QUBES project will support ongoing collaborations among participants.

Fleming-Davies, Arietta, Hamerlinck, Gabriela, Jenkins, Kristin, (2016), "Data Discovery Faculty Mentoring Network", Online, : January, . Cited by:

The goal of this faculty mentoring network is to help faculty bring research data into undergraduate classrooms.

Hale, Alison, Orndorf, Hayley, Donovan, Sam, Diaz-Eaton, Carrie, Fleming-Davies, Arietta, Gower, Stith, Hamerlinck, Gabriela, Jenkins, Kristin, LaMar, A. Drew, Poli, DorothyBelle, Sheehy, Bob, Wojdak, Jeremy, (2016), "Faculty Mentoring Networks: A model for promoting teaching scholarship in quantitative biology education", 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:

The incorporation of quantitative skills and concepts into biology classrooms remains a major hurdle for biology education reform. Biology faculty often feel underprepared to teach quantitative reasoning, may not feel supported to develop and implement change, and receive little or no credit for time devoted to reforming their teaching. We hypothesize that promoting the scholarly aspects of quantitative biology education can increase faculty participation and persistence in their reform efforts. Our model of the factors influencing faculty perceptions of their teaching scholarship has three primary components: 1) faculty must have sufficient knowledge of quantitative reasoning content and effective pedagogy; 2) they must exhibit high self-efficacy around their teaching; and, 3) they must self-identify as quantitative biology teachers. To test our proposed model, we have designed, implemented, and assessed faculty mentoring networks (FMNs), which are online communities that support faculty in their efforts to infuse quantitative skills into their existing courses. The structure of FMNs have emerged from the use of four design principles that connect the activities faculty engage to components of our change model. The faculty mentoring networks are designed to provide mentoring in quantitative biology from experienced peers and content experts, support a collaborative community working on shared problems and goals, engage faculty all the way through classroom implementation and encourage the public sharing of teaching projects. The design of FMNs will continue to be refined as more networks are developed, but early evidence points to their success as measured by faculty implementation of projects in their classrooms.

Eaton, Carrie D., Donovan, Sam, Gower, Stith, Jenkins, Kristin, LaMar, M. Drew, Poli, DorothyBelle, Sheehy, Robert, Wojdak, Jeremy, Hale, Alison N., Fleming-Davies, Arietta, Hamerlinck, Gabriela, (2015), "Building a Community to Promote Undergraduate Quantitative Biology Education", MPE 2013 Workshop on Education for the Planet Earth of Tomorrow, : Knoxville, TN, September, . Cited by:
Fleming-Davies, Arietta, Hamerlinck, Gabriela, Jenkins, Kristin, (2016), "Scaling Up ESA/QUBES Faculty Mentoring Network", Kickoff at Life Discovery - Doing Science Education Conference, : Baltimore, MD, March, . Cited by:

This QUBES Faculty Mentoring Network focused on supporting faculty to equip students with the quantitative skillset needed to ‘scale up’ to large ecological datasets. This network ran from January - May 31, 2016.

Hale, Alison, Fleming-Davies, Arietta, Hamerlinck, Gabriela, Aikens, Melissa, Donovan, Sam, Jenkins, Kristin, Wojdak, Jeremy, (2016), "Faculty Mentoring Networks: A model for professional development in undergraduate quantitative biology education", Ecological Society of America annual conference 2016, : Fort Lauderdale, Florida, . Cited by:

There is a significant need to design and test alternative models for faculty development around undergraduate science teaching. Existing models for helping faculty adopt evidence-based teaching strategies have generally been shown to be ineffective at promoting change in classroom practices. Additionally, the existing models do not scale well and often do not reflect the pedagogical strategies that they promote. Here we report early outcomes from the faculty development portion of the Quantitative Undergraduate Biology Education and Synthesis (QUBES) project. The interventions involved participation in Faculty Mentoring Networks (FMN). FMNs are unique in that participants interact over multiple weeks in an online community to customize and implement a particular high quality teaching strategy focused on quantitative biology. We report on two FMNs that each had 10-15 faculty participants and shared many structural features but focused on very different teaching strategies. One network focused on the use of agent based modelling in the classroom (ABM) while the other network focused on student use of research datasets associated with the Dryad data repository (DL). To assess the effectiveness of FMNs in faculty development, we collected data from faculty participation in the FMN activities and surveys conducted at the end of the interventions. Overall, participants indicated that the FMN experience provided strong motivation, guidance, and support to create and/or adapt materials targeting students’ quantitative reasoning skills (Likert scale: 1 - 5; ABM (N = 10): 4.9 /- 0.1; DL (N = 9): 5.0 /- 0). In ABM, 50% of participants developed and shared a sketch for a student activity using BehaviorSpace simulations. In DL, 70% of participants produced and shared an adaptation of a data-driven curriculum module. Participants unanimously agreed that they would recommend FMNs to colleagues, and 95% indicated they would be interested in participating in another network. Qualitative analysis of free response survey questions suggests that peer interactions are a key element underlying the successful adoption of new teaching strategies in FMNs. Through the sharing of materials and experiences (i.e. “teacher talk”), faculty saw how others “put their own spin” on a topic. By comparing and contrasting different approaches, faculty could decide which strategies might work in their own classroom. Seven additional FMNs are running in spring 2016. We will refine our assessment for these networks to further identify the mechanisms that promote a positive and productive professional development experience for faculty and encourage implementation of quantitative biology in undergraduate classrooms.

Donovan, Sam, Diaz-Eaton, Carrie, Fleming-Davies, Arietta, Gower, Stith, Hale, Alison N., Hamerlinck, Gabriela, Jenkins, Kristin, LaMar, M. Drew, Poli, DorothyBelle, Sheehy, Bob Wojdak, Jeremy (2015), "QUBES: Building a community to promote undergraduate quantitative biology education", National Association of Biology Teachers 2015 annual conference, : Providence, Rhode Island, November, . 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), "QUBES: Building a community to promote undergraduate quantitative biology education", The International Symposium on Biomathematics and Ecology: Education and Research, : Normal, IL, October, . Cited by:
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:
Hale, Alison N., Fleming-Davies, Arietta, Donovan, Sam S., (2015), "2015 Resources for Ecology Education: Fair and Share", 2015 Ecological Society of America, : Baltimore, MD, August, . Cited by:
Donovan, Sam S, Gross, Lou, Fleming-Davies, Arietta, (2015), "Integrating quantitative reasoning in biology education: Making the science more authentic and the learning more robust", BioQUEST / HHMI / CaseNet Summer Workshop 2015, : Claremont, CA, June, . Cited by:

Join us for an education workshop where you will get hands on experience using a variety of freely available scientific tools (particularly R and Netlogo) to explore biological problems. Our primary goal is to help participants adopt and adapt existing curriculum modules that address two of the core competencies outlined in the Vision and Change report (“Ability to use quantitative reasoning” and “Ability to use modeling and simulation”). The tools and modules we will present are appropriate for use in introductory biology and upper-division course and laboratory settings. One tool introduced will be the R package, a freely available statistics and modeling package available on multiple platforms that has become prevalent in many areas of biology. Attendees will work with examples of its use with naive students to enhance quantitative analysis of data. Topics will include data analysis / visualization, agent based modeling, and general strategies for engaging students quantitative reasoning.

Fleming-Davies, Arietta, Morris, Julie, Orlofske, Sarah, Wisner, Ellen, (2015), "The tree of life: Transforming the "parade of phyla" into an integrated curriculum emphasizing evolutionary concepts, tree-thinking, and quantitative reasoning skills", BioQUEST/HHMI/CaseNet Annual Workshop 2015, : Claremont, CA, June, . Cited by:

Our goal is to create an integrated curriculum that emphasizes evolutionary concepts, tree-thinking, and quantitative reasoning skills in presenting the diversity of life, intended to supplement or replace the traditional “parade of phyla.” As part of this working group, our first step is to gather a collection of existing materials that can be used and/or modified to address our desired learning outcomes.Learning Outcomes:Students are able to:1. Create, interpret, and use phylogenies to test hypotheses2. Connect the mechanisms of microevolution to macroevolutionary patterns, in order to explain how the diversity of living things is generated and perpetuated3. Use quantitative reasoning to analyze evolutionary and ecological dataIn addition, materials will address the following specific learning outcomes, divided into three major themes:Mechanisms1.1. Demonstrate how morphological evolution results from a subset of molecular evolution1.2. Compare and contrast the likelihood of phenotypic and genotypic convergence1.3. Demonstrate how evolutionary changes are constrained by existing genotypic and phenotypic variation1.4. Recognize that evolution occurs in an environment that varies over space and time1.5. Evaluate the relative importance of abiotic versus biotic factors on selection1.6. Recognize and compare multiple evolutionary solutions to similar environmental challenges Speciation2.1. Illustrate how divergence in phenotype may lead to reproductive isolation2.2. Recognize that species are dynamic entities, and compare the theoretical and practical uses of multiple species concepts2.3. Interpret visual representations of speciation eventsBiodiversity3.1. Describe the molecular and structural unity of life3.2. Explain the role of endosymbiosis and horizontal gene transfer in the origins of the major lineages3.3. Justify why biodiversity is important to humans3.4. Compare the general characteristics of major lineages in evolutionary history3.5. Summarize the role of extinction in shaping patterns of biodiversityWe welcome contributions of materials to any of the above themes (See https://qubeshub.org/groups/summer2015/collections/tree-of-life-mechanisms, or contact any of the authors )

Hale, Alison N, Fleming-Davies, Arietta, Donovan, Sam, (2015), "QUBES: Building a community to promote undergraduate quantitative biology education", Ecological Society of America Annual Meeting, : Baltimore, MD, August, . Cited by:

Ecology has developed into a field with a strong emphasis on quantitative research. As a result, the majority of ecology-related careers require proficiency in quantitative skills, such as statistical analysis, mathematical modelling, and programming. Despite the demand for young ecologists with a strong math background, undergraduate ecology curricula often remain largely descriptive and conceptual. While a suite of educational resources exists on the web, the support and incentives required for faculty to adopt these resources are lacking. The NSF-funded Quantitative Undergraduate Biology Education and Synthesis (QUBES) project seeks to facilitate the adoption of quantitative biology into the classroom through five initiatives. First, QUBES will unite the interests of various professional societies under a common goal of promoting quantitative biology. Second, QUBES will promote faculty networks to foster professional development by bringing faculty together with experts in quantitative reasoning. Third, QUBES will develop a system to track and measure faculty teaching contributions. Fourth, QUBES will monitor the outcome of this system and track its success in moving quantitative biology into the classroom. Lastly, to implement the above initiatives, QUBES has partnered with HubZero, an open source software platform, to create a website that supports collaboration and quantitative biology education activities. The QUBES Hub website (qubeshub.org) launched in February 2015. QUBES Hub currently features the QUBES consortium of 15 professional organizations, including the Ecological Society of America. A resource submission and review system has been created inside the Hub to promote the sharing of resources among these societies and between faculty. Users can submit a variety of resources - including software, data, teaching material, and reference material - and post comments describing how they adapted the resource for a particular classroom setting. To date, QUBES Hub hosts over 100 resources. QUBES Hub has also been designed and used to coordinate faculty workshops and networks. The website served as the home for the 2015 Quantitative Biology Education Summit, a meeting that brought together leading experts to identify critical next steps in bringing quantitative biology into the undergraduate classroom. Additionally, two faculty networks are currently being piloted. QUBES Hub has already united over 100 scientists and mathematicians with an interest in promoting quantitative biology. By providing easy access to professional development and teaching resources, along with promoting teaching scholarship, QUBES can help faculty overcome the barriers to teaching quantitative biology and assist in the development of well-trained ecologists for the next generation.

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