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@inproceedings{1198056, author = {Vaculík, Karel and Nezvalová, Leona and Popelínský, Lubomír}, address = {London}, booktitle = {Proceedings of EDM 2014 Ws Graph-based Educational Data Mining (G-EDM)}, editor = {Collin F. Lynch, Tiffany Barnes}, keywords = {logic proofs; resolution; educational data mining; graph mining; outlier detection}, howpublished = {elektronická verze "online"}, language = {eng}, location = {London}, pages = {43-50}, publisher = {CEUR-WS.org}, title = {Graph Mining and Outlier Detection Meet Logic Proof Tutoring}, year = {2014} }
TY - JOUR ID - 1198056 AU - Vaculík, Karel - Nezvalová, Leona - Popelínský, Lubomír PY - 2014 TI - Graph Mining and Outlier Detection Meet Logic Proof Tutoring PB - CEUR-WS.org CY - London KW - logic proofs KW - resolution KW - educational data mining KW - graph mining KW - outlier detection N2 - We introduce a new method for analysis and evaluation of logic proofs constructed by undergraduate students, e.g. resolution or tableaux proofs. This method employs graph mining and outlier detection. The data has been obtained from a web-based system for input of logic proofs built at FI MU. The data contains a tree structure of the proof and also temporal information about all actions that a student performed, e.g. a node insertion into a proof, or its deletion, drawing or deletion of an edge, or text manipulations. We introduce a new method for multi-level generalization of subgraphs that is useful for characterization of logic proofs. We use this method for feature construction and perform class-based outlier detection on logic proofs represented by these new features. We show that this method helps to find unusual students' solutions and to improve semi-automatic evaluation of the solutions. ER -
VACULÍK, Karel, Leona NEZVALOVÁ a Lubomír POPELÍNSKÝ. Graph Mining and Outlier Detection Meet Logic Proof Tutoring. Online. In Collin F. Lynch, Tiffany Barnes. \textit{Proceedings of EDM 2014 Ws Graph-based Educational Data Mining (G-EDM)}. London: CEUR-WS.org, 2014, s.~43-50. ISSN~1613-0073.
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