| PELÁNEK, Radek, Petr BOROŠ, Juraj NIŽNAN a Jiří ŘIHÁK. Automatic Detection of Concepts from Problem Solving Times. In Lane, H.C.; Yacef, K.; Mostow, J.; Pavlik, P. Artificial Intelligence in Education. USA: Springer, 2013, s. 595-598. ISBN 978-3-642-39111-8. Dostupné z: https://dx.doi.org/10.1007/978-3-642-39112-5_67. |
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@inproceedings{1129497,
author = {Pelánek, Radek and Boroš, Petr and Nižnan, Juraj and Řihák, Jiří},
address = {USA},
booktitle = {Artificial Intelligence in Education},
doi = {http://dx.doi.org/10.1007/978-3-642-39112-5_67},
editor = {Lane, H.C.; Yacef, K.; Mostow, J.; Pavlik, P},
keywords = {problem solving; concepts; student modeling},
howpublished = {tištěná verze "print"},
language = {eng},
location = {USA},
isbn = {978-3-642-39111-8},
pages = {595-598},
publisher = {Springer},
title = {Automatic Detection of Concepts from Problem Solving Times},
year = {2013}
}
TY - JOUR
ID - 1129497
AU - Pelánek, Radek - Boroš, Petr - Nižnan, Juraj - Řihák, Jiří
PY - 2013
TI - Automatic Detection of Concepts from Problem Solving Times
PB - Springer
CY - USA
SN - 9783642391118
KW - problem solving
KW - concepts
KW - student modeling
N2 - Intelligent tutoring systems need to know a mapping between particular problems and general domain concepts. Such mapping can be constructed manually by an expert, but that is time consuming and error prone. Our aim is to detect concepts automatically from problem solving times. We propose and evaluate two approaches: a model of problem solving times with multidimensional skill and an application of spectral clustering. The results show that it is feasible to construct a problem-concept mapping from solely the problem solving times and that the results of the analysis can bring an interesting insight.
ER -
PELÁNEK, Radek, Petr BOROŠ, Juraj NIŽNAN a Jiří ŘIHÁK. Automatic Detection of Concepts from Problem Solving Times. In Lane, H.C.; Yacef, K.; Mostow, J.; Pavlik, P. \textit{Artificial Intelligence in Education}. USA: Springer, 2013, s.~595-598. ISBN~978-3-642-39111-8. Dostupné z: https://dx.doi.org/10.1007/978-3-642-39112-5\_{}67.
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