Excited to give an invited presentation for the Cognitive Science Society!
So happy to announce that our patent is finally finalized Nov. 9th 2021
Dowell, N. M. & Nixon, M. T. (November 9, 2021). Computational linguistic analysis of learners' discourse in computer-mediated group learning environments. Application Number: US Patent No. 11,170,177. United States of America.
Excited to give a talk for the Department of Psychology at the University of Virginia.
Had a ton of fun doing this interview for the Machine Learning Podcast: We Should All Be Lurkers .
Very much looking forward to participating in the AIED panel: Mind the Gap: AIED for Equity and Inclusion .
I'm excited to be speaking at the "How Innovations Flourish" international symposium hosted by @CatalystPennGSE on June 8-10. Check out the sessions and register for free here: hopin.com/events/hif .
I’m looking forward to visiting and presenting for the Cognitive Science Program at Northwestern University.
Very much looking forward to hosting the next Learning Analytics and Knowledge Conference
Excited to present in the Presidential Symposium on "Computation for Social Good" at the 50th annual meeting of the Society for Computation in Psychology (SCiP)
Excited to give a talk at the Educational Data Science Conference.
Excited to serve on the Educational Data Mining Conference (EDM) Panel for Improving diversity, equity, and inclusivity
Bill & Melinda Gates Foundation grant to support underrepresented learning engineering post-doctoral fellows: Justin Reich (PI, MIT), Ken Koedinger (co-PI, CMU) & Nia Dowell (co-PI, UCI)
I'm an Assistant Professor in the School of Education at the University of California, Irvine and recently named a 2021 Faculty Innovation Fellow (FIF) courtesy of UCI Beall Applied Innovation.
My primary interests are in cognitive psychology, discourse processing, group interaction, and learning analytics. In general, my research focuses on using language and discourse to uncover the dynamics of socially significant, cognitive, and affective processes. I am currently applying computational techniques to model discourse and social dynamics in a variety of environments including small group computer-mediated collaborative learning environments, collaborative design networks, and massive open online courses (MOOCs). My research has also extended beyond the educational and learning sciences spaces and highlighted the practical applications of computational discourse science in the clinical, political and social sciences areas. I also served on the Executive Committee board for the Society for Learning Analytics Research (SoLAR) which is the leading research society focused on promotion and development of the Learning Analytics field. Additionally, I’m excited to host and serve as a Program Chair for the 11th International Learning Analytics and Knowledge Conference (LAK-2021) as well as the organizing committee for LAK-2022.
The Language and Learning Analytics Laboratory (The LaLA-Lab), is situated in the UCI School of Education and brings together an interdisciplinary group of students and faculty who explore the intersections of technology with teaching, learning, and education, with a particular focus on learning analytics, educational data mining, and collaborative engagement. Dr. Nia Dowell, Assistant Professor in Education at UC-Irvine, is the director of The LA-Lab that includes researchers with backgrounds in cognitive science, information, psychology, and statistics. The LA-Lab takes a multi-disciplinary approach that builds on theories and methods in the learning sciences, cognitive psychology, human-computer interaction, and computational social sciences. Dr. Dowell and her team conduct basic research on sociocognitive and affective processes across a range of educational technology interaction contexts and develop computational models of these processes and their relationship to learner outcomes. Their research uses a range of artificial intelligence (AI) techniques such as computational linguistics and machine learning. Current projects focus on i) understanding differences in students’ socio-cognitive engagement patterns across gender and racial lines, ii) identifying interpersonal dynamics that characterize varying levels of sense of belonging during collaborative interactions, and ii) developing AI based interventions to promote inclusivity in digitally-mediated team problem-solving environments.
Computational Discourse Science
Awards & Honors