Are you interested in developing student’s data science skills in your biology course? Apply now to join us for a Spring 2019 Serenity Now! QUBES Faculty Mentoring Network (FMN).
Participants in this FMN will create data-driven modules in undergraduate life science courses using the software tools Radiant and Serenity. Radiant and Serenity are platform-independent browser-based interfaces to bring data science tools to the classroom, with a particular focus on data visualization, communication, and bridging students to R scripting skills. Accepted applicants will customize and implement newly designed educational modules from a wide range of topics using the Radiant and Serenity platforms. Participants are encouraged to use their own research or class-collected data for these modules. While doing this, they will participate in 1-hour biweekly virtual sessions to collaborate with and support others in the network and receive mentoring.
Applications are due December 15. Accepted applicants will be notified by December 21.
Space is limited, and the network is launching soon, so apply now!
Dates & Location:
The virtual kick-off will be held in mid January 2019 (date and time TBD). The FMN will continue online to support the customization and implementation of activities in your course during the Spring 2019 semester.
How to Apply:
Applications are due December 15th. Accepted applicants will be notified by December 21. Space is limited, only 8 participants will be selected.
To qualify, participants must be willing to develop and implement a teaching module using the Radiant or Serenity framework. This module must also be shared publicly on the QUBESHub. Participants must also be able to commit ~1 hour biweekly for working with mentors and collaborating with other participants around the customization and implementation of the teaching materials. Additional time outside of these discussions may be required for independent work on adapting and reviewing modules.
Benefits of Participation:
**Learn the Radiant and Serenity software tools for using data in the classroom
**Online support throughout the process of implementing new materials in your course
**Access to peer mentors on lecture/classroom/lab effective tips and strategies using data in your teaching
If you have questions, please feel free to contact Drew LaMar at email@example.com or Nicole Chodkowski at firstname.lastname@example.org