PELÁNEK, Radek, Petr BOROŠ, Juraj NIŽNAN and 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, p. 595-598. ISBN 978-3-642-39111-8. Available from: 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 and 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, p.~595-598. ISBN~978-3-642-39111-8. Available from: https://dx.doi.org/10.1007/978-3-642-39112-5\_{}67.
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