SLCL Master Calendar of Events (all SLCL unit calendars)

Back to Listing

Linguistics Seminar: Jill Burstein

Event Type
Seminar/Symposium
Sponsor
Department of Linguistics
Location
https://illinois.zoom.us/j/88359278626?pwd=YlpHT0p4b1VGM1JHRGF4c1puOTZpUT09
Virtual
wifi event
Date
Nov 15, 2021   4:00 pm  
Speaker
Jill Burstein, Principal Assessment Scientist, Duolingo
Contact
Helen Gent
E-Mail
hmgent2@illinois.edu
Views
8
Originating Calendar
Linguistics Event Calendar

Natural Language Processing in Assessment

Abstract: 

As we design new assessments, they are likely to increasingly use NLP and AI for test item creation, feedback and scoring. Everyday digital interactions are also expanding. New types of digital interactions influence how we engage in speaking, writing, reading and listening, as well as interpersonal situations, such as collaboration and transactions. Assessment researchers and designers need to consider how to assess traditional and 21st century skills situated in modern, digitally-mediated contexts. In language assessment, for instance, this might be the assessment of reading on tablet devices or collaborative writing using Google Docs. Since the debut of automated essay scoring systems over 20 years ago for large-scale, high-stakes writing assessment, ideas for innovation in automated writing evaluation have grown. Advanced natural language processing (NLP) methods expanded the ability to evaluate writing quality and content, provide qualitative feedback for instruction and formative assessment, and conduct learning analytics research. Developments in speech recognition led to assessment of  spoken language on high-stakes language assessments. As AI improves, AI-enabled assessments continue to leverage these advances.  In this talk, I will discuss the evolution of NLP in assessment, engaging with education domain problems to build impactful NLP solutions, and modern AI-enabled assessment.  To illustrate, I will present an assessment ecosystem developed for the Duolingo English Test -- a ground-breaking, digital-first, high-stakes English language assessment.

link for robots only