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PRODID:-//University of Iceland//AI Centre//EN
CALSCALE:GREGORIAN
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BEGIN:VEVENT
UID:35490fea-bedf-46e5-b25d-69a7d761c20a@ai.hi.is
DTSTAMP:20260923T062216Z
DTSTART:20260602T090000Z
DTEND:20260602T100000Z
SUMMARY:Leveraging AI in Mathematics Tutoring: Designing for Reasoning\, No
 t Replacement
DESCRIPTION:Large language models have made answers more accessible than ev
 er. For education\, this creates a central tension: the same systems that 
 can help students understand difficult material can also make it easier to
  bypass the learning process entirely. This is especially visible in mathe
 matics\, where the value often lies not in the final answer\, but in the r
 easoning that leads to it. In this talk\, we use Ratatoskur\, an iPad-base
 d AI tutor for handwritten mathematics in Icelandic\, as a case study for 
 exploring how LLMs can be used more productively in tutoring. Rather than 
 treating the model as an answer engine\, Ratatoskur is designed around a s
 tudent’s own work: it reads handwritten solutions\, checks intermediate 
 reasoning\, gives hints\, asks for clarification when input is ambiguous\,
  and only reveals full solutions as one possible mode of interaction. We w
 ill discuss how this changes the design problem from “can the model solv
 e the task?” to “how should the system guide the student?” That shif
 t raises practical questions about user interface design\, feedback modes\
 , uncertainty\, evaluation\, observability\, and responsible use of studen
 t data. More broadly\, the talk considers how educational AI systems can b
 e designed so that the easiest and most natural way to use them still enco
 urages active thinking.\n\nhttps://ai.hi.is/is/events/colloquium-in-statis
 tics-and-ai-21/
LOCATION:Íslensk erfðagreining\, Tjarnarsalur
URL:https://ai.hi.is/is/events/colloquium-in-statistics-and-ai-21/
STATUS:CONFIRMED
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