Tuesday, January 27, 1.30 pm (NEW TIME), 2026. Seminar in Statistics.

Estimating Abilities with an Elo-Informed Growth Model
Karl Sigfrid, Department of Statistics, Stockholm University
Abstract: An intelligent tutoring system aims to provide instructions and exercises tailored to the student's current level, and therefore needs to track the student's ability. Ability estimates can be updated based on the outcomes of practice exercises that are part of the learning process. We propose a new method for tracking abilities, based on the assumption that the abilities for a group of respondents who are all in the same stage of the learning process follow a distribution that can be estimated. Comparisons using both simulated data and real learning data show that the proposed method performs better than the standard Elo algorithm in a scenario with rapid ability growth. The method can lower the threshold for implementing robust intelligent tutoring systems.
Location: John von Neumann .

Tuesday, February 10, 1.30 pm (NEW TIME), 2026. Seminar in Statistics.

TBA
Joan Carles Pons Mayol, Computational Biology and Bioinformatics, Department of Mathematics and Computer Science, University of the Balearic Islands
Abstract: TBA
Location: Alan Turing .