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Recent news.
Talks, papers, panels, awards. The work in motion — most recent first.
Shamya Karumbaiah presented 4 paper with the titles: (1) SLAI: AI Support for Multilingual Small Group Discussions in Science Classrooms, (2) Pedagogical Values Mediate Teacher Perceptions on Using AI to Support Students’ Learning of Scientific Explanations, (3) How Students Interpret Representational Cues in AI-Generated Educational Illustrations (Best Paper Nominee), (4) What Constitutes AI Harms and/or Unfairness? An Empirical Analysis of Teacher Deliberation with a Fairness Elicitation Scaffold, at the 27th International Conference on AI in Education in Seoul, South Korea.
Pragati Maheshwary presented on CLUE-AI: A Collaborative Game-Based Learning Approach to Promote Critical Literacy for Uncovering Errors in AI at the 27th International Conference on AI in Education in Seoul, South Korea.
Kaycie Barron presented on What Do LIWC Features Capture in Multilingual Classroom Talk? A Systemic Functional Linguistic Analysis at the Educational Data Mining Conference in Seoul, South Korea.
Shamya Karumbaiah presented on A Double-Edged Sword: Navigating Hope and Concern in Teachers’ Adoption of AI Image Generation Tools at the International Conference of the Learning Sciences (ICLS) in Irvine, California.
Pragati Maheshwary presented on Extending CSCL Affordances for Multilingual Classrooms: Teacher Perspectives on AI Supported Collaborations at the Conference of Computer-Supported Collaborative Learning (CSCL) in Irvine, California.
Kaycie Barron presented on Translanguaging, Systemic Functional Linguistics, and Artificial Intelligence in K-12 Science Classrooms: A Multiple Case Study at the American Education Research Association conference in Los Angeles, California.
Kaycie Barron was awarded the 2026 Michael Vincent O’Shea and Harriet Frisbie Eastabrooks O’Shea Fellowship for her work on advancing ethical AI applications in bi/multilingual learning contexts.
Kaycie Barron presented on Characterizing Language Model Biases Using Linguistic Variations in Translanguaging at the Society for Research on Educational Effectiveness (SREE) conference in Chicago, Illinois.
Alina Guha presented on Teacher Perceptions on AI Support for Bi/multilingual Learners: Superpowers and Constraints at the Artificial Intelligence in Education conference.
Shamya Karumbaiah was an invited speaker at the "AI and Society" event hosted by the Wisconsin International Resource Consortium.
Kaycie Barron presented on Evaluating Language Models Using Linguistic Variations in Multilingual Learners’ Writing at the International Conference of the Learning Sciences (ICLS) in Helsinki, Finland.
Shamya Karumbaiah joined a post-grad panel on academia hosted by Penn GSE - LST/TLL.
Shamya Karumbaiah participated in the "AI & Learning" panel hosted by Phi Beta Kappa, UW-Madison.
Shamya Karumbaiah delivered a talk on "Bias in LLMs" for the Smart Cookie Visiting Professor Series at American Family Insurance.
Shamya Karumbaiah joined a panel on "Deliberation Dinners" at the UW-Madison Diversity Forum.
Shamya Karumbaiah gave a talk on "Auditing and Mitigating Algorithmic Bias in LLMs" at UW-Madison School of Business.
Shamya Karumbaiah gave a webinar on "AI, Bias, and Equity" at the Institute of Diversity Science, UW-Madison.
Shamya Karumbaiah participated in a panel on "Learning Sciences and EdTech Evaluation" hosted by EdTech Society, India.
Shamya Karumbaiah presented and joined a panel on "AI in Teaching and Learning" at the National Academy of Education (NAEd) Annual Meeting.
Shamya Karumbaiah delivered an invited talk on "Bias in Adaptive and Artificially Intelligent Learning Systems" at IIT Bombay.
Shamya Karumbaiah gave an invited seminar on "Teacher in Action with AI Tutors" for the ITP Program at UW-Madison.
Shamya Karumbaiah delivered a webinar on "Bias in Adaptive Learning Systems" for the Quantitative Ethnography Webinar Series.
Shamya Karumbaiah gave an invited talk on "Algorithmic Injustices in Education" at Pace University.
Shamya Karumbaiah gave an invited talk on "Upstream Biases in Adaptive Learning Systems" as part of the Data Science Guild Series at IBM Kyndryl.
Shamya Karumbaiah presented "The Upstream Sources of Bias in Educational Adaptive Systems" at Rising Stars in EECS, MIT.
Shamya Karumbaiah gave an invited talk on "The Upstream Sources of Bias in Educational Adaptive Systems" at Microsoft PROSE Research Team.
Shamya Karumbaiah gave an invited talk on "Re-Analysis and Synthesis of Data on Affect Dynamics in Learning" at University of California Irvine.
Shamya Karumbaiah gave a featured talk on "Machine Learning and Learning Sciences" at Catalyst with ProjectEd, University of Pennsylvania.
Shamya Karumbaiah gave a research talk on "Predicting Quitting in Learning Games" at the Bay Area Learning Analytics Conference (BayLAN), Stanford University.
Shamya Karumbaiah presented research on "Predicting Quitting in Learning Games" at WiML @ NeurIPS 2018.
Shamya Karumbaiah gave an invited talk on "Promoting Engagement in Virtual Learning Environment" at the Institute for Software Integrated Systems (ISIS), Vanderbilt University.
Shamya Karumbaiah presented a lightning talk on "Predicting Quitting in Learning Games" at Penn Research in Machine Learning (PriML), University of Pennsylvania.
Shamya Karumbaiah gave an invited talk on "Student Frustration and Learning Game Design" at the Human Computer Interaction Institute, Carnegie Mellon University.
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