Educational data mining for analysis of students? solutions

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F14%3A00076477" target="_blank" >RIV/00216224:14330/14:00076477 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-10554-3_14" target="_blank" >http://dx.doi.org/10.1007/978-3-319-10554-3_14</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-10554-3_14" target="_blank" >10.1007/978-3-319-10554-3_14</a>

Result language
angličtina
Original language name
Educational data mining for analysis of students? solutions
Original language description
We introduce a novel method for analysis of logic proofs constructed by undergraduate students that employs sequence mining for manipulation with temporal information about all actions that a student performed, and also graph mining for finding frequentsubgraphs on different levels of generalisation. We show that this representation allows to find interesting subgroups of similar solutions and also to detect outlying solutions. Specifically, distribution of errors is not independent on behavioural patterns and we are able to find clusters of erroneous solutions. We also observed significant dependence between time duration and an appearance of the most serious error.
Czech name
—
Czech description
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Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Artificial Intelligence: Methodology, Systems, and Applications - 16th International Conference, AIMSA 2014
ISBN
9783319105536
ISSN
0302-9743
e-ISSN
—
Number of pages
12
Pages from-to
150-161
Publisher name
Springer
Place of publication
London
Event location
Varna, Bulgaria
Event date
Sep 11, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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