Career & Tools
Join us for Lunch & Learn, where you'll have the chance to socialize with other grad students and hear talks by students in Education and Mathematics. While we won't be able to share pizza in person, all attendees will be entered into a raffle to win a $15 Target gift card.
Join us for Lunch & Learn, where you'll have the chance to socialize with other grad students and hear talks by students in Education and Mathematics. Lunch & Learn is co-sponsored by the Graduate Division, the Graduate Student Association, and the UCSB Library.
While we won't be able to share pizza together in person, all attendees will be entered into a raffle to win one of ten $15 Target gift cards.
October 2021 Edition: Multilingual Learners & Machines
October 15, 12-1:15pm
Zoom*
*RSVP here to receive the Zoom link*
Preparing Linguistically Responsive Secondary Science Teachers
Valerie Meier
Graduate Student in Education
Given persistent disparities in access to quality K-12 STEM education for multilingual learners, teacher education programs must better prepare secondary science teachers to value and build on multilingual students' linguistic and cultural funds of knowledge, to challenge them with rigorous science content, and to support their disciplinary language and literacy development. In this talk I will present findings from a longitudinal case study of how preservice and novice secondary science teachers from one teacher education program understand multilingual learners and effective instruction for these students. This research contributes to the field's understanding of how to support preservice teachers to adopt the knowledge, skills, and dispositions of linguistically responsive teachers.
Machine Learning Methods for Fluid Mechanics for Learning Low Dimensional Representations
Tomás Carino Bazan
Graduate Student in Mathematics
Large amounts of data are generated on a recurring basis. Constraints, such as computational costs, can prevent large-scale data sets from being utilized directly. However, dimensionality reduction techniques allow low-dimensional representations of such data sets to be obtained. In this talk, I present the application of machine learning methods for obtaining compressed and interpretable representations of high-dimensional flow fields.
This event will be moderated by Kristen LaBonte, Research & Engagement Librarian at UCSB's Library.
Interested in being a presenter at an upcoming Lunch & Learn? Click here to find out more! If you have any questions about this event or Lunch & Learn in general, please email Chava Nerenberg.