Application of Time Decay Functions and the Elo System in
Student Modeling

D 2014

Application of Time Decay Functions and the Elo System in Student Modeling

PELÁNEK, Radek

Basic information

Original name

Application of Time Decay Functions and the Elo System in Student Modeling

Name in Czech

Využití funkcí časového poklesu a Elo systému při modelování studentů

Authors

PELÁNEK, Radek (203 Czech Republic, guarantor, belonging to the institution)

Edition

2014. vyd. London, United Kingdom, Proceedings of the 7th International Conference on Educational Data Mining (EDM 2014), p. 21-27, 7 pp. 2014

Publisher

International Educational Data Mining Society

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

United Kingdom of Great Britain and Northern Ireland

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

electronic version available online

RIV identification code

RIV/00216224:14330/14:00079892

Organization unit

Faculty of Informatics

ISBN

978-0-9839525-4-1

Keywords in English

adaptive learning; student modeling; Elo rating system

Abstract

V originále

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.

Links

LG13010, research and development project

Name: Zastoupení ČR v European Research Consortium for Informatics and Mathematics (Acronym: ERCIM-CZ)

Investor: Ministry of Education, Youth and Sports of the CR

Citovat

PELÁNEK, Radek. Application of Time Decay Functions and the Elo System in Student Modeling. Online. In John Stamper, Zachary Pardos, Manolis Mavrikis, Bruce M. McLaren. Proceedings of the 7th International Conference on Educational Data Mining (EDM 2014). 2014th ed. London, United Kingdom: International Educational Data Mining Society, 2014, p. 21-27. ISBN 978-0-9839525-4-1.

@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. Online. 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, 2014, p.~21-27. ISBN~978-0-9839525-4-1.

Detailed Information on Publication Record