Matches in SemOpenAlex for { <https://semopenalex.org/work/W2066151770> ?p ?o ?g. }
Showing items 1 to 89 of
89
with 100 items per page.
- W2066151770 endingPage "382" @default.
- W2066151770 startingPage "375" @default.
- W2066151770 abstract "Data mining can be used in the educational field to make teaching more effective, to provide help for the student and teacher, and to analyze data. Data mining can be useful with educational software like intelligent tutoring systems which contain large quantities of data about students and their degree of success, scores, and errors. By analyzing these data, it is possible to obtain pedagogically reliable information as feedback for the teacher. The objectives of this study are to cluster the data available from an Intelligent Tutoring System (ITS) and to visualize the multidimensional data analysis results. In this study, the ITS data, which contain exam results on six different concepts, are clustered using k-means and fuzzy c-means algorithms, and the clustering performance of the two algorithms is compared. Cluster analysis results are visualized using a parallel coordinate system. Clustering and visualizing of the concept-level scores is used to provide meaningful and nontrivial insights into the workings of a course. Such information is useful for the teacher to discover which concepts give students difficulty and which do not. The paper also describes the data mining software developed in this study and the analytical results obtained. © 2009 Wiley Periodicals, Inc. Comput Appl Eng Educ 18: 375–382, 2010; Published online in Wiley InterScience (www.interscience.wiley.com); DOI 10.1002/cae.20272" @default.
- W2066151770 created "2016-06-24" @default.
- W2066151770 creator A5030051378 @default.
- W2066151770 creator A5067055067 @default.
- W2066151770 date "2009-02-17" @default.
- W2066151770 modified "2023-10-18" @default.
- W2066151770 title "Visual clustering of multidimensional educational data from an intelligent tutoring system" @default.
- W2066151770 cites W1504977826 @default.
- W2066151770 cites W1605744986 @default.
- W2066151770 cites W1644672739 @default.
- W2066151770 cites W188378287 @default.
- W2066151770 cites W1990368529 @default.
- W2066151770 cites W2080940099 @default.
- W2066151770 cites W2113076747 @default.
- W2066151770 cites W2121342934 @default.
- W2066151770 cites W2126415191 @default.
- W2066151770 cites W2135139060 @default.
- W2066151770 cites W2151530263 @default.
- W2066151770 doi "https://doi.org/10.1002/cae.20272" @default.
- W2066151770 hasPublicationYear "2009" @default.
- W2066151770 type Work @default.
- W2066151770 sameAs 2066151770 @default.
- W2066151770 citedByCount "5" @default.
- W2066151770 countsByYear W20661517702013 @default.
- W2066151770 countsByYear W20661517702018 @default.
- W2066151770 countsByYear W20661517702020 @default.
- W2066151770 countsByYear W20661517702021 @default.
- W2066151770 crossrefType "journal-article" @default.
- W2066151770 hasAuthorship W2066151770A5030051378 @default.
- W2066151770 hasAuthorship W2066151770A5067055067 @default.
- W2066151770 hasConcept C119857082 @default.
- W2066151770 hasConcept C124101348 @default.
- W2066151770 hasConcept C154945302 @default.
- W2066151770 hasConcept C164866538 @default.
- W2066151770 hasConcept C17212007 @default.
- W2066151770 hasConcept C199360897 @default.
- W2066151770 hasConcept C202444582 @default.
- W2066151770 hasConcept C23123220 @default.
- W2066151770 hasConcept C2522767166 @default.
- W2066151770 hasConcept C2777598771 @default.
- W2066151770 hasConcept C2777904410 @default.
- W2066151770 hasConcept C2779336797 @default.
- W2066151770 hasConcept C3019022308 @default.
- W2066151770 hasConcept C33923547 @default.
- W2066151770 hasConcept C41008148 @default.
- W2066151770 hasConcept C543511877 @default.
- W2066151770 hasConcept C58166 @default.
- W2066151770 hasConcept C73555534 @default.
- W2066151770 hasConcept C9652623 @default.
- W2066151770 hasConceptScore W2066151770C119857082 @default.
- W2066151770 hasConceptScore W2066151770C124101348 @default.
- W2066151770 hasConceptScore W2066151770C154945302 @default.
- W2066151770 hasConceptScore W2066151770C164866538 @default.
- W2066151770 hasConceptScore W2066151770C17212007 @default.
- W2066151770 hasConceptScore W2066151770C199360897 @default.
- W2066151770 hasConceptScore W2066151770C202444582 @default.
- W2066151770 hasConceptScore W2066151770C23123220 @default.
- W2066151770 hasConceptScore W2066151770C2522767166 @default.
- W2066151770 hasConceptScore W2066151770C2777598771 @default.
- W2066151770 hasConceptScore W2066151770C2777904410 @default.
- W2066151770 hasConceptScore W2066151770C2779336797 @default.
- W2066151770 hasConceptScore W2066151770C3019022308 @default.
- W2066151770 hasConceptScore W2066151770C33923547 @default.
- W2066151770 hasConceptScore W2066151770C41008148 @default.
- W2066151770 hasConceptScore W2066151770C543511877 @default.
- W2066151770 hasConceptScore W2066151770C58166 @default.
- W2066151770 hasConceptScore W2066151770C73555534 @default.
- W2066151770 hasConceptScore W2066151770C9652623 @default.
- W2066151770 hasIssue "2" @default.
- W2066151770 hasLocation W20661517701 @default.
- W2066151770 hasOpenAccess W2066151770 @default.
- W2066151770 hasPrimaryLocation W20661517701 @default.
- W2066151770 hasRelatedWork W2023022300 @default.
- W2066151770 hasRelatedWork W2066151770 @default.
- W2066151770 hasRelatedWork W2165695836 @default.
- W2066151770 hasRelatedWork W2380798983 @default.
- W2066151770 hasRelatedWork W2888523397 @default.
- W2066151770 hasRelatedWork W3008654423 @default.
- W2066151770 hasRelatedWork W3097684051 @default.
- W2066151770 hasRelatedWork W3123285233 @default.
- W2066151770 hasRelatedWork W4220795558 @default.
- W2066151770 hasRelatedWork W4318428506 @default.
- W2066151770 hasVolume "18" @default.
- W2066151770 isParatext "false" @default.
- W2066151770 isRetracted "false" @default.
- W2066151770 magId "2066151770" @default.
- W2066151770 workType "article" @default.