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@inproceedings{1232091,
author = {Pelánek, Radek},
address = {London, United Kingdom},
booktitle = {Proceedings of the 7th International Conference on Educational Data Mining (EDM 2014)},
edition = {2014},
editor = {John Stamper, Zachary Pardos, Manolis Mavrikis, Bruce M. McLaren},
keywords = {adaptive learning; student modeling; Elo rating system},
howpublished = {elektronická verze "online"},
language = {eng},
location = {London, United Kingdom},
isbn = {978-0-9839525-4-1},
pages = {21-27},
publisher = {International Educational Data Mining Society},
title = {Application of Time Decay Functions and the Elo System in Student Modeling},
year = {2014}
}
TY - JOUR
ID - 1232091
AU - Pelánek, Radek
PY - 2014
TI - Application of Time Decay Functions and the Elo System in Student Modeling
PB - International Educational Data Mining Society
CY - London, United Kingdom
SN - 9780983952541
KW - adaptive learning
KW - student modeling
KW - Elo rating system
N2 - One of the key aspects of educational data mining is estimation of student skills. This estimation is complicated by the fact that students skills change during the use of an educational system. In this work we study two flexible approaches to skill estimation: time decay functions and the Elo rating system. Results of experiments in several different settings show that these simple approaches provide good and consistent performance. We argue that since these approaches have several pragmatical advantages (flexibility, speed, ease of application) they should be considered in educational data mining at least as a baseline approach.
ER -
PELÁNEK, Radek. Application of Time Decay Functions and the Elo System in Student Modeling. In John Stamper, Zachary Pardos, Manolis Mavrikis, Bruce M. McLaren. \textit{Proceedings of the 7th International Conference on Educational Data Mining (EDM 2014)}. 2014th ed. London, United Kingdom: International Educational Data Mining Society. p.~21-27. ISBN~978-0-9839525-4-1. 2014.
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