DIG into Data for the Biology Classroom:
Building a Collaborative Space for Teaching with Quantitative Data
A space for data incubation and collaboration
Quantitative Undergraduate Biology Education Synthesis (QUBES), in partnership with the Ecological Society of America, DryadLab, and National Ecological Observatory Network (NEON), is pleased to offer a unique networking and professional development opportunity from January - May 2017 for faculty interested in developing data-driven ecology teaching modules.
During this Faculty Mentoring Network, faculty will further develop their own existing teaching materials using authentic research data in their introductory biology or ecology courses, with the goal of creating a publishable product to share with the wider ecology community in a special issue of Teaching Issues and Experiments in Ecology (TIEE).
We are looking for individuals that have experience in bringing data-driven activities into the classroom, are interested in further developing their own teaching modules incorporating ecology data in the classroom, and are eager to contribute towards the generation of a collaborative data incubator space. This FMN is sponsored by QUBES (qubeshub.org), which is an NSF-funded virtual center that promotes quantitative biology education at the undergraduate level.
Benefits of Participation
- Explore effective pedagogical practices around teaching with research data.
- Work with experts in data management and the development of quantitative reasoning skills.
- Support for further development of pedagogical material focused on bringing data into the biology/ecology classroom.
- Access to peer mentors on lecture/classroom/lab effective tips and strategies in small group virtual meetings every two weeks.
- Opportunity for publication in a special issue of TIEE (http://www.esa.org/tiee/).
- Recognition as an ESA Education Scholar (http://esa.org/fed/2016scholars/).
All faculty are encouraged to apply. Faculty from community colleges, two-year institutions, and Minority-Serving Institutions (MSIs) are especially encouraged to apply.
Questions? Contact Kaitlin Bonner (email@example.com) or Kristine Grayson (firstname.lastname@example.org).
St. John Fisher College
University of Richmond
X. Ben Wu
Texas A&M University