QB@CC Spring 2023 FMN Application
Spring 2023 QB@CC Faculty Mentoring Network Application

The QB@CC (https://qubeshub.org/groups/qbcc) is joining forces with QUBES (http://qubeshub.org) to work with faculty who are interested in adapting and implementing selected quantitative curriculum modules from a wide range of topics. Participating educators are encouraged to mix and match parts of modules and customize them for use in their classrooms. For more information on the selected modules, visit https://qubeshub.org/community/groups/qbccfmnsp233.

Commitment and Benefits of Participation:
To qualify, participants must be willing to incorporate the selected materials into at least two class periods (or equivalent) in their teaching during the Spring 2023 semester. Participants must also be able to commit ~1.5-2 hour per week 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.
**Access to teaching modules- participants will incorporate at least one of the selected materials in Spring 2023 classes
**Online support throughout the process of implementing new materials in your course.  Access to peer mentors on lecture/classroom/lab effective tips and strategies in small group virtual meetings every two weeks
**Recognition as a QB@CC Education Scholar upon completion of all network requirements

Visit: https://qubeshub.org/community/groups/qbccfmnsp23 for more information.  Questions?  Contact John Starnes (john.starnes@kctcs.edu)
Sign in to Google to save your progress. Learn more
Email *
First Name *
Last Name *
Institution/Organizational Affiliation *
Department *
Email address *
Mailing Address
Which of the following best describes your primary institution? *
Years teaching *
Tenure Status (if applicable)
Clear selection
Please identify two of the selected modules you are interest in modifying for you courses *
Visit https://qubeshub.org/community/groups/qbccfmnsp21/selected_modules for a complete list of the available modules
Required
What adaptations do you intend on making to the modules before implementing them in your course(s)? *
Please identify the course(s) you plan on implementing the module in (i.e. ecology, introductory biology lab, etc.). Please limit responses to 250 words.
Describe your experiences using data in your teaching. Include challenges you have faced and strategies you have used to engage your students in working with data.
Please limit response to 250 words.
If selected, I agree to... *
Required
How did you hear about this opportunity?
Clear selection
QUBES collects demographic information on all participants. This information is aggregated and used internally and in reports to the National Science Foundation. Aggregated and de-identified data may also be used for other reporting purposes (such as research papers) with Institutional Review Board approval. No individually identifiable information is shared with others without that individual’s consent. Participant data are stored in a password protected database on the QUBES server and are accessible only by QUBES staff.
Submit
Clear form
Never submit passwords through Google Forms.
reCAPTCHA
PrivacyTerms
This form was created inside of BioQUEST. Report Abuse
Google Forms