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 a Jiří ŘIHÁK

Základní údaje

Originální název

Using Problem Solving Times and Expert Opinion to Detect Skills

Název česky

Využití řešitelských času a názoru experta pro detekci dovedností

Autoři

NIŽNAN, Juraj; Radek PELÁNEK a Jiří ŘIHÁK

Vydání

London, Proceedings of the 7th International Conference on Educational Data Mining, od s. 433-434, 2 s. 2014

Nakladatel

International Educational Data Mining Society

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

10201 Computer sciences, information science, bioinformatics

Stát vydavatele

Velká Británie a Severní Irsko

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

elektronická verze "online"

Označené pro přenos do RIV

Ano

Kód RIV

RIV/00216224:14330/14:00077270

Organizační jednotka

Fakulta informatiky

ISBN

978-0-9839525-4-1

Klíčová slova anglicky

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

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 28. 4. 2015 22:22, RNDr. Pavel Šmerk, Ph.D.

Anotace

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.

Návaznosti

LG13010, projekt VaV

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

Investor: Ministerstvo školství, mládeže a tělovýchovy ČR, Zastoupení ČR v European Research Consortium for Informatics and Mathematics

MUNI/A/0855/2013, interní kód MU

Název: Rozsáhlé výpočetní systémy: modely, aplikace a verifikace III. (Akronym: FI MAV III.)

Investor: Masarykova univerzita, Rozsáhlé výpočetní systémy: modely, aplikace a verifikace III., DO R. 2020_Kategorie A - Specifický výzkum - Studentské výzkumné projekty

Citovat

NIŽNAN, Juraj; Radek PELÁNEK a 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, s. 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  - CONF
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 a 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, s.~433-434. ISBN~978-0-9839525-4-1.

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