2021 PEER-Virgin Islands
Dates: Dec 9 – Dec 15, 2021
Time: 9am-5pm EST, weekdays
What is the Peer Workshop?
Mentorship in Discipline-Based Education Research
Through both virtual and in-person meetings, the PEER workshop gives opportunities for faculty and graduate students in mathematics and physics to develop their own educational research practices.
Who will be attending?
Registration for PEER-VI 2021 is now closed.
PEER is partnering with the University of the Virgin Islands (UVI) to enhance scholarship for UVI-affiliates (faculty, students and other researchers). The workshop is appropriate for:
- Faculty not currently engaged in DBER but interested in learning about theories and methodologies for possible future research
- Current DBER researchers looking to build or broaden their network of collaborators and engage in generative discussions about existing and new projects
- Graduate students or postdoctoral researchers who want to learn more about DBER project management and building a successful research program
- Faculty at teaching-focused universities interested in using research methodology to improve or assess their teaching and/or publish in Scholarship of Teaching & Learning.
- PEER-VI 2021 will take place Thursday, December 9th through Wednesday, December 16th (weekends off). Workshops will include sessions on Research Design, Data and Analysis, Collaboration Ethics, Research Ethics and Productive Research Questions.
PEER-VI 2021 Activities
Virtual kick-off: Aug 9-10
In-person workshops: University of the Virgin Islands (St. Thomas): Thursday, Dec 9th – Wednesday, Dec 16
PEER combines virtual and in-person meetings in two phases:
- An August virtual meeting introduces participants to the PEER philosophy, identifies common research interests and potential collaborations, and establishes structures to facilitate partnerships.
- A weeklong in-person workshop in December focuses on refining research questions and specifics of data analysis, including developing and validating interview protocols, emergent coding applied to observational or interview data, and mixed-methods approaches.