Using Problem Solving Times and Expert Opinion to Detect Skills

D 2014

Using Problem Solving Times and Expert Opinion to Detect Skills

NIŽNAN, Juraj, Radek PELÁNEK and Jiří ŘIHÁK

Basic information

Original name

Using Problem Solving Times and Expert Opinion to Detect Skills

Name in Czech

Využití řešitelských času a názoru experta pro detekci dovedností

Authors

NIŽNAN, Juraj (703 Slovakia, belonging to the institution), Radek PELÁNEK (203 Czech Republic, guarantor, belonging to the institution) and Jiří ŘIHÁK (203 Czech Republic, belonging to the institution)

Edition

London, Proceedings of the 7th International Conference on Educational Data Mining, p. 433-434, 2 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/00216224:14330/14:00077270

Organization unit

Faculty of Informatics

ISBN

978-0-9839525-4-1

Keywords in English

Q-matrix; domain modeling; student modeling; problem solving; time; evaluation

Abstract

V originále

Construction of a mapping between educational content and skills is an important part of development of adaptive ed- ucational systems. This task is difficult, requires a domain expert, and any mistakes in the mapping may hinder the po- tential of an educational system. In this work we study tech- niques for improving a problem-skill mapping constructed by a domain expert using student data, particularly prob- lem solving times. We describe and compare different tech- niques for the task – a multidimensional model of problem solving times and supervised classification techniques. In the evaluation we focus on surveying situations where the combination of expert opinion with student data is most useful.

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

MUNI/A/0855/2013, interní kód MU

Name: Rozsáhlé výpočetní systémy: modely, aplikace a verifikace III. (Acronym: FI MAV III.)

Investor: Masaryk University, Category A

Citovat

NIŽNAN, Juraj, Radek PELÁNEK and Jiří ŘIHÁK. Using Problem Solving Times and Expert Opinion to Detect Skills. Online. In John Stamper, Zachary Pardos, Manolis Mavrikis, Bruce M. McLaren. Proceedings of the 7th International Conference on Educational Data Mining. London: International Educational Data Mining Society, 2014, p. 433-434. ISBN 978-0-9839525-4-1.

@inproceedings{1205735,
   author = {Nižnan, Juraj and Pelánek, Radek and Řihák, Jiří},
   address = {London},
   booktitle = {Proceedings of the 7th International Conference on Educational Data Mining},
   editor = {John Stamper, Zachary Pardos, Manolis Mavrikis, Bruce M. McLaren},
   keywords = {Q-matrix; domain modeling; student modeling; problem solving; time; evaluation},
   howpublished = {elektronická verze "online"},
   language = {eng},
   location = {London},
   isbn = {978-0-9839525-4-1},
   pages = {433-434},
   publisher = {International Educational Data Mining Society},
   title = {Using Problem Solving Times and Expert Opinion to Detect Skills},
   year = {2014}
}

TY  - JOUR
ID  - 1205735
AU  - Nižnan, Juraj - Pelánek, Radek - Řihák, Jiří
PY  - 2014
TI  - Using Problem Solving Times and Expert Opinion to Detect Skills
PB  - International Educational Data Mining Society
CY  - London
SN  - 9780983952541
KW  - Q-matrix
KW  - domain modeling
KW  - student modeling
KW  - problem solving
KW  - time
KW  - evaluation
N2  - Construction of a mapping between educational content and skills is an important part of development of adaptive ed- ucational systems. This task is difficult, requires a domain expert, and any mistakes in the mapping may hinder the po- tential of an educational system. In this work we study tech- niques for improving a problem-skill mapping constructed by a domain expert using student data, particularly prob- lem solving times. We describe and compare different tech- niques for the task – a multidimensional model of problem solving times and supervised classification techniques. In the evaluation we focus on surveying situations where the combination of expert opinion with student data is most useful.
ER  -

NIŽNAN, Juraj, Radek PELÁNEK and Jiří ŘIHÁK. Using Problem Solving Times and Expert Opinion to Detect Skills. Online. In John Stamper, Zachary Pardos, Manolis Mavrikis, Bruce M. McLaren. \textit{Proceedings of the 7th International Conference on Educational Data Mining}. London: International Educational Data Mining Society, 2014, p.~433-434. ISBN~978-0-9839525-4-1.

Detailed Information on Publication Record