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X-WR-CALNAME:Understanding and Improving the use of LLMs for Education
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UID:2026-10-05-jonathan-kummerfeld@cml.ics.uci.edu
DTSTAMP:20260916T010532Z
LAST-MODIFIED:20260916T010532Z
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DTSTART;TZID=America/Los_Angeles:20261005T110000
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SUMMARY:[CML Seminar] Jonathan Kummerfeld: Understanding and Improving the
use of LLMs for Education
LOCATION:Donald Bren Hall 4011
DESCRIPTION:Jonathan Kummerfeld\, Senior Lecturer\, Computer Science\, Univ
ersity of Sydney\n\nTitle: Understanding and Improving the use of LLMs for
Education\n\nAbstract: AI has the potential to extend the capabilities of
educators and improve learning outcomes. In this talk\, I will describe n
ew metrics for understanding how students use LLMs\, new methods that expa
nd the reach of an active pedagogy technique\, and techniques that still d
rive models off-topic. Along the way\, we'll see implications for the idea
of AI-resilient user interfaces\, identify limitations in the ways most L
LM-based education systems are evaluated\, and learn about how students ar
e balancing AI-based tools with traditional resources. To conclude\, I'll
present a lightning round of key findings from other work in my group\, sp
anning hallucinations in code\, benchmarks for visualisation generation\,
human-AI teaming methods for clinical coding\, and more.\n\nhttps://cml.ic
s.uci.edu/seminars/2026-10-05-jonathan-kummerfeld
X-ALT-DESC;FMTTYPE=text/html:Jonathan Kummerfeld\, Senio
r Lecturer\, Computer Science\, University of Sydney
Title:
Understanding and Improving the use of LLMs for Education
Abstra
ct: AI has the potential to extend the capabilities of educators and i
mprove learning outcomes. In this talk\, I will describe new metrics for u
nderstanding how students use LLMs\, new methods that expand the reach of
an active pedagogy technique\, and techniques that still drive models off-
topic. Along the way\, we'll see implications for the idea of AI-resilient
user interfaces\, identify limitations in the ways most LLM-based educati
on systems are evaluated\, and learn about how students are balancing AI-b
ased tools with traditional resources. To conclude\, I'll present a lightn
ing round of key findings from other work in my group\, spanning hallucina
tions in code\, benchmarks for visualisation generation\, human-AI teaming
methods for clinical coding\, and more.
https://cml.ics.uci.edu/se
minars/2026-10-05-jonathan-kummerfeld
URL:https://cml.ics.uci.edu/seminars/2026-10-05-jonathan-kummerfeld
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