Modeling and Predicting Students Problem Solving Times

D 2012

Modeling and Predicting Students Problem Solving Times

PELÁNEK, Radek a Petr JARUŠEK

Základní údaje

Originální název

Modeling and Predicting Students Problem Solving Times

Autoři

PELÁNEK, Radek (203 Česká republika, garant, domácí) a Petr JARUŠEK (203 Česká republika, domácí)

Vydání

Czech republic, Proceedings of the 38th International Conference on Current Trends in Theory and Practice of Computer Science, od s. 637-648, 12 s. 2012

Nakladatel

Springer

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

10201 Computer sciences, information science, bioinformatics

Stát vydavatele

Česká republika

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

tištěná verze "print"

Impakt faktor

Impact factor: 0.402 v roce 2005

Kód RIV

RIV/00216224:14330/12:00057329

Organizační jednotka

Fakulta informatiky

ISBN

978-3-642-27659-0

ISSN

DOI

http://dx.doi.org/10.1007/978-3-642-27660-6_52

UT WoS

000307258500052

Klíčová slova anglicky

Problem solving; Modeling; Predicting

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 23. 4. 2013 12:56, RNDr. Pavel Šmerk, Ph.D.

Anotace

V originále

Artificial intelligence and data mining techniques offer a chance to make education tailored to every student. One of possible contributions of automated techniques is a selection of suitable problems for individual students based on previously collected data. To achieve this goal, we propose a model of problem solving times, which predicts how much time will a particular student need to solve a given problem. Our model is an analogy of the models used in the item response theory, but instead of probability of a correct answer, we model problem solving time. We also introduce a web-based problem solving tutor, which uses the model to make adaptive predictions and recommends problems of suitable difficulty. The system already collected extensive data on human problem solving. Using this dataset we evaluate the model and discuss an insight gained by an analysis of model parameters.

Návaznosti

GAP202/10/0334, projekt VaV

Název: Řešení obtížných dobře strukturovaných problémů: spolupráce člověka a počítače

Investor: Grantová agentura ČR, Řešení obtížných dobře strukturovaných problémů: spolupráce člověka a počítače

MUNI/A/0914/2009, interní kód MU

Název: Rozsáhlé výpočetní systémy: modely, aplikace a verifikace (Akronym: SV-FI MAV)

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

Citovat

PELÁNEK, Radek a Petr JARUŠEK. Modeling and Predicting Students Problem Solving Times. In Proceedings of the 38th International Conference on Current Trends in Theory and Practice of Computer Science. Czech republic: Springer, 2012, s. 637-648. ISBN 978-3-642-27659-0. Dostupné z: https://dx.doi.org/10.1007/978-3-642-27660-6_52.

@inproceedings{978265,
   author = {Pelánek, Radek and Jarušek, Petr},
   address = {Czech republic},
   booktitle = {Proceedings of the 38th International Conference on Current Trends in Theory and Practice of Computer Science},
   doi = {http://dx.doi.org/10.1007/978-3-642-27660-6_52},
   keywords = {Problem solving; Modeling; Predicting},
   howpublished = {tištěná verze "print"},
   language = {eng},
   location = {Czech republic},
   isbn = {978-3-642-27659-0},
   pages = {637-648},
   publisher = {Springer},
   title = {Modeling and Predicting Students Problem Solving Times},
   year = {2012}
}

TY  - JOUR
ID  - 978265
AU  - Pelánek, Radek - Jarušek, Petr
PY  - 2012
TI  - Modeling and Predicting Students Problem Solving Times
PB  - Springer
CY  - Czech republic
SN  - 9783642276590
KW  - Problem solving
KW  - Modeling
KW  - Predicting
N2  - Artificial intelligence and data mining techniques offer a chance to make education tailored to every student. One of possible contributions of automated techniques is a selection of suitable problems for individual students based on previously collected data. To achieve this goal, we propose a model of problem solving times, which predicts how much time will a particular student need to solve a given problem. Our model is an analogy of the models used in the item response theory, but instead of probability of a correct answer, we model problem solving time. We also introduce a web-based problem solving tutor, which uses the model to make adaptive predictions and recommends problems of suitable difficulty. The system already collected extensive data on human problem solving. Using this dataset we evaluate the model and discuss an insight gained by an analysis of model parameters.
ER  -

PELÁNEK, Radek a Petr JARUŠEK. Modeling and Predicting Students Problem Solving Times. In \textit{Proceedings of the 38th International Conference on Current Trends in Theory and Practice of Computer Science}. Czech republic: Springer, 2012, s.~637-648. ISBN~978-3-642-27659-0. Dostupné z: https://dx.doi.org/10.1007/978-3-642-27660-6\_{}52.

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