This project investigates the utility of an alternative model for online mathematics videos that features unscripted dialogue of pairs of students. The project also seeks to better understand the vicarious learning process, which is learning from video- or audio-taped presentations of others learning.

My role in the project has involved assisting in developing and producing the videos. I have also served as a research assistant in the data collection and analysis of students' mathematical learning from the videos.

Read our article in MTLT about challenges and resolutions that a pair of students faced when making sense of algebraic expressions in context during the filming process.  

The project is supported by The National Science Foundation through Award DRL-1907762, Developing and Investigating Unscripted Dialogic Mathematics Videos, Joanne Lobato (PI, SDSU) and John Gruver (Co-PI). 

This project investigated how 7th-grade students with different levels of English-language proficiency "reason abstractly and quantitatively," as they engaged with dynamic representation technology-based and paper-based activities (SimCalc) that addressed the content area of linear functions. I served as a data coder for this project.

The project was supported by the National Science Foundation Award DRL-1534626, Investigating How English Language Learners Use Dynamic Representational Technology to Participate in Middle School Mathematical Practices, Philip Vahey (PI), Teresa Lara-Meloy (Co-PI), and William Zahner.

EQUIP (Electronic Quality of Instruction Protocol) is a free, web-based classroom observation tool that offers visual representations of classroom participation by ascribing students to different social marker groups. EQUIP was developed by Dr. Niral Shah and Dr. Daniel Reinholz to help faculty address implicit biases that may potentially limit the participation of women, students of color, people with differing abilities, and other underrepresented groups in STEM.

My role in this project consisted of creating tutorial videos for educators to learn to use EQUIP and as a research assistant. 

Read about our publication, which explored how faculty used EQUIP to promote equitable practices during the COVID-19 pandemic here. 

This project is supported by the National Science Foundation through Award DUE-1943146 Data Analytics for Equity: Supporting STEM Faculty to Address Implicit Bias in the Classroom, Daniel Reinholz (PI).