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Education Data Science
EDS Capstone Project Symposium
Are you curious to learn what education science looks like? Join us at the end of the academic year for a festive symposium where the EDS MS students present their capstone project work. The symposium is open to the public and we invite you to engage in conversations, ask your questions, exchange insights, and join us in celebration.
Friday, May 31, 2024
4:30 p.m. to 7:00 p.m. PDT
CERAS Lobby
EDS Capstone projects
Learning the Curve: The Language of Text-Based Data Visualizations Adoption in ELA Teachers
By:
Dorna Abdi
As the integration of technology in education continues to grow, understanding how teachers adopt and utilize new tools is critical for enhancing instructional practices.
By:
Richard (Chenming) Tang
Race and gender biases have been a long-standing issue in paper textbooks, but prior research showed that online literacy development materials still carry significant biases and misrepresentations, potentially exacerbating the problem at a much larger scale.
Using LLMs To Improve Formulaic Readability Measures: A RoBERTa Approach
By:
Anvit Garg
Measuring text complexity is a crucial aspect of how we define and operationalize reading levels and metrics in K-12 curriculums and beyond. Applying Large language models (LLMs) to measure readability and complexity offers a new opportunity over older, more rigid, formulaic metrics.
